Data Integration Resume Samples

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HM
H Metz
Harmon
Metz
870 Kunde Junctions
Dallas
TX
+1 (555) 720 9248
870 Kunde Junctions
Dallas
TX
Phone
p +1 (555) 720 9248
Experience Experience
Phoenix, AZ
Data Integration
Phoenix, AZ
Welch, Haag and Medhurst
Phoenix, AZ
Data Integration
  • Supports development and testing of systems enhancements and maintains a strong working relationship and open communications with full-time and contract staff
  • Take a key role in the identification, development and go-to-market of new industry solutions, working within the successful IBM sales processes and tools
  • Partner with other competency leads / developers and support project planning, technical design, development and solution deployment functions
  • Work to sell IIG software across North America
  • Work collaboratively in cross-functional team
  • Manage multiple tasks, be detail oriented, be responsive, and demonstrate independent thought and critical thinking
  • Provide backup coverage during vacation and sickness for existing team leadership
Philadelphia, PA
Data Integration Administrator
Philadelphia, PA
Boehm and Sons
Philadelphia, PA
Data Integration Administrator
  • Knowledge of data networking and other infrastructure concepts including firewalls, network ports, and proxies
  • Responsible for the promotion of code from development to production environments
  • Familiar with Jira or other documentation and software development tools
  • Monitor application performance, apply application software patches
  • Develop disaster recovery and failover strategies for the data integration environments
  • Design, implement and perform administration functions for Enterprise data integration environments including Informatica PowerCenter, Master Data Management (MDM), and Informatica Data Quality (IDQ)
  • Manage the Informatica domain and Application Services including PowerCenter and IDQ. Manage and administer the Informatica PowerExchange for source environments
present
Philadelphia, PA
Senior Data Integration Engineer
Philadelphia, PA
Schmeler, Turner and Langworth
present
Philadelphia, PA
Senior Data Integration Engineer
present
  • Performs debugging, troubleshooting, modifications and unit testing of integration solutions
  • Engage in project planning and delivering to commitments
  • Perform unit and integration testing and document test strategy and results
  • Work closely with teams from other enterprise software vendors that are being integrated
  • Use innovation to improve operational processes and performance, making sure data is of the highest quality, build and unit test integration components
  • Formulation of highly detailed DW solutions using Informatica tool set which can be practically implemented
  • Develop and coding of Informatica mappings, session, workflows for different stages of ETL
Education Education
Bachelor’s Degree in Computer Science
Bachelor’s Degree in Computer Science
Drexel University
Bachelor’s Degree in Computer Science
Skills Skills
  • Convey a strong professional image, exhibit interest and positive attitude toward all assigned work
  • Considerable knowledge of operation functions, systems, policies and procedures for the assigned area
  • Ability to support EDI application with strong technical, analytical and problem solving skills
  • Excellent interpersonal, verbal and written communication skills
  • Ability to manage multiple tasks/projects and deadlines simultaneously
  • Master at least one of below development languages: PHP, Java, Javascript, Websphere Cast Iron, Infoshere DataStage, Websphere Message Broker, Websphere MQ, Websphere Application Server, XML/XSLT, Web services (SOAP/REST)
  • Thorough knowledge of banking operations and human resources
  • Excellent organizational, managerial and project management skills
  • In-depth understanding and practical application of applicable laws and regulations
  • Well-developed customer relations skills
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15 Data Integration resume templates

1

Managing Consultant, Data Integration Resume Examples & Samples

  • Eight years’ experience and proficiency in SQL (on a variety of database platforms)
  • Experience with data warehouse environments such as Netezza, Teradata, Greenplum, etc
  • Experience with Perl, Python, etc
  • Experience with data visualization tools such as Tableau, QlikView, SAS, etc
  • Proficiency with ETL tools from vendors such as Informatica, SAS, Oracle, etc
  • Experience in web analytics
  • Proven sense of responsibility and the ability to meet deadlines and handle multiple priorities
  • Demonstrated partnering and communication skills; able to shift readily between technical and non-technical terminology depending on audience
  • Experience with R or SAS analytics
  • Experience with Hadoop and MapReduce
2

Lead Manager Data Integration Resume Examples & Samples

  • Supervise and provide direction to team members on data warehouse projects and tools
  • Responsible for leading Data Warehouse projects, planning and monitoring development efforts
  • Subject matter expert for integration technologies
  • Coordinate activities with other internal and external organizations assigned to projects
  • Analyze business needs and information requirements, define optimum system requirements to meet business needs, and prioritize and manage new requirements. Develop detailed analysis, design, construction and testing specifications ensuring technical compatibility and integration
  • Conduct business analysis, event modeling, logical and physical database design, database optimization, load strategy design and implementation, security and change management
  • Assist the systems development process, including planning and monitoring development efforts, reviewing deliverables, and communications to management
  • Ensure users' effective, accurate and easy access to data; translate user information requirements into data
  • Verify decision support program specifications with users for reliability, accuracy and functionality
  • Work closely with business analysts, end users, developers and QA team to ensure technical compatibility
  • Demonstrated leadership experience
  • 2+ years experience in data warehousing
  • 2+ years experience in relational data warehousing
  • Design Experience in normalized and dimensinal logical modeling Experience in analyzing source system, data flows, and delivering data architecture designs Possesses SQL skills
3

Director, Data Integration Resume Examples & Samples

  • Develop and lead the strategy for managing data as a critical business resource and drive greater value through data science. Lead organizational initiatives to
  • 12+ years of progressive leadership experience in Analytical Consulting, IT, Systems and Data Integration or related field
  • Proven experience in leading major information management programs in key business areas
  • Proven experience with big data solutions, e.g. Hadoop, MapReduce, HBase, etc
  • Proven experience in operationalizing data governance procedures
  • Proven industry experience developing business cases for technical projects
  • Familiarity with different modeling techniques
  • Proven leader with ability to develop, motivate and inspire cast members
  • Proven experience managing and leading information management teams across multiple departments
  • Proven ability to balance technical skills, business knowledge, and people skills to navigate the technical and organizational hurdles of shepherding valuable corporate data
  • Proven ability to independently develop a positive work environment within the team and among key stakeholders
  • Proven ability to effectively interact, communicate and translate complex problems and solutions to all levels of an organization
  • Proven industry expertise in the area of applied sciences, with a broad connection to how the industry is evolving
  • Proven ability to establish relationships, trust and credibility
  • Exceptional influencing skills with ability to integrate diverse and at times opposing points of view to desired resolution
  • Skillful and impactful communicator (verbal/written) with the ability to deliver presentations with poise, confidence and authentic style
  • Ability to manage multiple priorities and adjust to rapidly changing business environment
  • Demonstrated strong business acumen. Excels in identifying new areas of opportunity and displays keen ingenuity in anticipating and meeting unexpected situations
  • Proficiency in presentation software (PowerPoint, Tableau, etc.)
  • Willingness and ability to travel domestically and internationally
  • Bachelor’s Degree in Computer Science, Mathematics, Engineering or related field
4

Data Integration Resume Examples & Samples

  • The candidate should have a high standard of both SQL writing and SQL Interpretation
  • Experience writing and executing detailed test plans including Integration and Regression testing
  • Experience writing and executing detailed test cases and defects covering full requirements traceability
  • Experience maintaining testing standards and continual test improvements minimising production defects
  • Experience recommending new tools and processes to ensure quality
  • Actively engages in the remediation of test and defect issues related to code quality and specification criteria
  • Experience automating testing processes including automated regression testing
  • Strong documentation and organization skills, communication, and drive for results
  • Experience with industry leading large scale database platforms (i.e. preferably Teradata)
5

Senior Mgr, Data Integration & Analysis Resume Examples & Samples

  • Utilizing vast knowledge and experience in the AOS, become resident data expert on AML data schema, repositories, dictionaries, meta-data, etc. whereby data elements at the level of product, customer, geography, channel, LOB, etc. will be analysed for prevalence, reliability and then value-categorized in a master library for use by RDIS staff and others across enterprise AML
  • Engage with AOS business and T&O partners to foster a culture of information sharing and learning, to assure RDIS unit is able to satisfy its core mandate of providing effective ML/TF risk coverage via data science, integration and utilization
  • Expertise in SAS, SQL, R, SPSS, or similar toolsets; Java, C++, Python, Ruby Rail, VBA skills are nice to have; TIBCO BPM and Spotfire experience an asset but not mandatory
  • Deep background in adapting statistical and machine learning techniques and technologies for practical applications
  • Experience working in an Agile environment and leveraging Agile methodology
  • Detail oriented with strong organizational skills
  • 8+ years of prior experience in a data mining and analytics related role
  • 5-8+ years of experience in a management role
  • Excellent knowledge of technical requirements for AML
  • Superior analytical and problem solving skills
  • Excellent communication skills and ease interacting with Senior level management
  • Understanding Financial Crimes, including current fraud modalities, techniques and AML behaviors
  • Environmental Understanding (in-depth)
  • Project Management (in-depth)
  • Influence (in-depth)
  • Managerial Leadership (in-depth)
  • Consulting (in-depth)
6

Specialist, Data Integration & Analysis Resume Examples & Samples

  • Utilizing vast knowledge and experience in the assigned business area, become a resident data expert on AML data schema, repositories, dictionaries, meta-data, etc. whereby data elements at product, customer, geography, channel, business areas, etc. will be analysed for prevalence, reliability and then value-categorized in a master library for use by RDIS staff and others across enterprise AML
  • Engage with business and technology and operations (T&O) partners to foster a culture of information sharing and learning, to ensure RDIS unit is able to satisfy its core mandate of satisfying money laundering (ML) / terrorist financing (TF) risk coverage through data science, integration and utilization
  • Solid experience in data, statistical and predictive modeling to drive business or risk management solutions
  • Expertise in building queries and knowledge of data warehouse, schema and manipulation concepts
  • Experience working in an agile environment and leveraging agile methodology
  • In-depth knowledge of design and risk analysis methodology and business application development processes
  • University degree or higher in Computer Science, Math, Business, Statistics, or equivalent industry experience
  • Strong analytical skills for complex problem solving
  • Solid communication skills both written and verbal
  • 5 - 8 years of prior experience in a data mining and analytics related role
  • A combination of a Bachelor’s degree, considerable work experience and Graduate degrees or specific designations
  • Maintain, or are pursuing an AML-related certification (e.g., CAMS)
  • Strong communication skills, comfortable communicating with senior management
  • Analytical Thinking (in-depth)
  • Problem Solving (in-depth)
  • Applied Innovation (in-depth)
  • Systems Management (in-depth)
  • Analytics and Modeling (in-depth)
  • Environmental Understanding (strong)
  • Project Management (strong)
  • Influence (strong)
  • Consulting (strong)
7

Data Integration Enterprise Performance Management Resume Examples & Samples

  • Provides knowledge of appropriate information technology solutions specifically as they relate to client data requirements
  • Leads data validation efforts across all impacted applications in Hyperion Suite
  • Directly interacts with both internal customers as well as other Corporate Systems resources to resolve data related issues and provide pro-active data validation solutions
  • Learns new and related products as appropriate
  • Strong business background, necessary to resolve data discrepancies and recommend automated reporting and data validation solutions
  • Strong proficiency in data analysis tools (Excel, SQL Server Client, Hyperion EPM analysis/reporting tools) needed to resolve data discrepancies
  • Minimum of 6 years in the Business Intelligence or Business Performance Management field (Oracle/Hyperion Suite strongly recommended)
  • Must possess a proven ability to solve business problems using solid analytical and technical skills
  • Strong interpersonal and communication skills - written and verbal
  • Team player; willingness to provide assistance to other team members in order to get the job done
8

Data Integration Consultants & Architects Resume Examples & Samples

  • One or more successful MDM or data integration implementation programs in which you played an integral role
  • Experience of developing master data, reference data, and data integration strategies and architectures focusing on InfoSphere or Informatica tools
  • Initial experience with Big Data solutions and technologies
  • A hunger for personal growth; to challenge and stretch your skills
  • Excellent client facing skills
  • Ability to consult with clients as evidenced within a consulting firm or by performing project work in a leading firm
  • At least 3 years experience in MDM Informatica or InfoSphere projects
  • At least 3 years experience in Consulting
  • At least 3 years experience in working in teams, delivering to demanding client goals
9

Senior Manager, Data Integration Resume Examples & Samples

  • Provides team leadership and management of all global data management and data integration services
  • Hires and mentors a team with responsibilities for data integration services and the management of changes within the global enterprise data warehouse
  • As required, this role will include individual effort to assist with production support activities
  • Ensures compliance with enterprise architectural standards for data integration services including business to business services and application to application services
  • Creates and owns the strategic roadmap for data integration across the enterprise
  • Leads any vendor selection activities of data integration software; management of vendor relationships
  • Work closely with functional and technical teams to ensure requirements are translated into technical designs
  • Participates in peer reviews of data models and design sessions
  • Reviews and provides team guidance to create technical specifications against functional requirements
  • Coordinates and participates in unit testing and user acceptance testing
  • Assist with resolution of production support incidents
  • Bachelors Degree in Information Technology, Computer Science, or business related field
  • 3 years of experience with any of the following Microsoft SQL Server SQL Server Integration Services (SSIS), Informatica, Tibco, IBM InfoSphere DataStage, Software AG Webmethods or similar data integration software
  • 2 years of experience with any of the following: Java, .NET, VB or SQL
  • Good understanding of at least one of the following: web services or message queue servers
  • Good understanding of capabilities of analytical reporting tools and technologies including MicroStrategy
  • Prior full life cycle implementations of major projects
  • Strong skills on Microsoft office products (Excel, Word, PowerPoint)
10

Software Developer for Analytics & Data Integration Resume Examples & Samples

  • The role is to plan, design and code to develop and maintain Data Replication product by working in agile fashion and collaborating with other teams
  • Plan, design and code for the development and maintenance of Data Replication product following software life cycle model
  • Ensure highest level of quality in all work in all phases of continuous integration and delivery model
  • Working with other sub teams and support teams to help in investigating and reproducing field issues and producing fixes if required
  • Display integrity and values in all levels of work
  • Sense of personal responsibility and ownership in resolving customer and all tasks to the satisfaction of all stakeholders
  • At least 3 years experience in Core Java, RDBMS
11

Data Integration Modeler Resume Examples & Samples

  • Model and document web services/REST style APIs that define the integration between a service provider and a consuming application
  • Collaborate with team members including architects, business system analysts and technical analysts to transform project requirements for integration between various systems in enterprise reusable, standardized interfaces
  • Apply interface design and domain expertise to influence the solution and/or application architecture
  • Create artifacts such as WSDL/XSD, Swagger, RAML/JSON schema, and documentation describing how the interface is to be used by consumers and providers
  • Organizes and leads walkthroughs of the interface design with the project teams and vendors
  • Strong technical background with experience in analysis and design of mid-tier applications
  • Experience with database modeling, SQL
  • Experience with SOAP, WSDL, XSD/XML, REST and JSON
  • Experience in service oriented and RESTful architecture and design
  • Experience with Java, JEE, .NET
  • Good banking domain knowledge
  • Nice to have IFX standard knowledge
  • Promotes communication, teamwork and shares information and ideas
  • Consistently demonstrate initiative and display a positive, professional attitude to internal and external clients
  • Ability to prioritize and manage multiple tasks to meet deadlines in a fast paced, high stress environment
  • Good organizational and interpersonal skills, effective listening, verbal, communication
  • Fast learner who enjoys challenges, innovative, proven ability to adapt to challenges and changes
  • Participates in ongoing team development by facilitating knowledge sharing sessions
12

Senior Director, Data Integration Services Resume Examples & Samples

  • Own, design, implement, and manage enterprise data integration capabilities between various heterogeneous systems including the e-commerce platform, OMS, WMS, POS, corporate systems, etc
  • Own, develop, and maintain the ESB and database platform strategies and roadmaps, in partnership with other IT leaders and product management
  • Own and drive operational aspects of the ESB and database platforms including production support, capacity planning, and security
  • Provide leadership including thought leadership for the technology team and overall organization
  • Balance the ability to think big with accomplishing smaller, achievable, “building block” goals
  • Actively participate, collaborate, and influence overall IT architecture, direction, and goals
  • Drive architectural and platform improvements to increase scalability and performance to support business growth
  • Manage, develop, and recruit talent including senior line managers – bring out the best in Sephora’s staff
  • Operate with a sense of urgency and purpose with sensitivity to short, medium, and long-term goals
  • Foster a culture of ownership, accountability, collaboration, and results within engineering teams
  • Build strong partnerships with other IT and non-IT/business teams
  • Actively participate and help resolve technology platform issues that arise through escalation
  • Stay on top of emerging trends and advancements in web technologies, and identify opportunities to improve Sephora’s technology stack and business processes
  • 10+ years of experience in a senior technical leadership role at a high-volume, retail e-commerce (or similar) company
  • 15+ years in overall software engineering design and development experience
  • Track record of several large initiatives delivered OTOBOSOQ (on time, on budget, on scope, on quality) Strong experience working with cross-functional teams – product managers, business users, project managers, architecture, engineering, DBA, middleware/ESB, infrastructure, QA, release teams to build and enhance large scale technology systems
  • Demonstrable experience with strategic planning – multi-year roadmaps, CapEx, OpEx, etc
  • Demonstrable experience managing technology operations teams including production support, environment management, release management
  • Line management responsibility for medium-large (20+) cross-functional teams in a software delivery organization, including other line managers
  • Commitment to professional development, ability to develop teams and build strong relationships across the organization
  • Excellent communication and interpersonal skills including the ability to work effectively with technical and non-technical staff
  • Strong business analysis, technical analysis, analytical & critical thinking, decision making ability
  • Strong technology skills including software architecture, development, testing, release & change management, infrastructure
  • Strong SDLC, project management, time management, and tracking/reporting skills
  • Demonstrated experience with “build vs. buy” decisions (and reasoning), vendor selection process, RFP’s Demonstrated experience with enterprise data integration technologies, ESB (WebMethods, Tibco, Oracle, IBM, Mule, etc.), other messaging oriented middleware
  • Demonstrated experience with enterprise database technologies like Oracle RAC, SQL Server Enterprise, etc
  • Experience with NoSQL databases (MongoDB, HBase, Cassandra, etc.)
  • Experience with data caching technologies (Memcached, Coherence, Terracotta, etc.)· Experience with Agile methodologies like Scrum, Kanban, XP
  • Experience with capacity planning, scalability, performance, load testing
  • Highly skilled in complex problem solving, critical thinking, applying judgment, building consensus, and decision making
  • Experience with vendor management including ability to work directly with 3rd party vendors and contractors
13

Data Integration Resume Examples & Samples

  • Strong Programming background - DI covers lots of different types of programming environments
  • Database/SQL Skills - Having experience working in database environments is a must
  • Master at least one of below development languages: PHP, Java, Javascript, Websphere Cast Iron, Infoshere DataStage, Websphere Message Broker, Websphere MQ, Websphere Application Server, XML/XSLT, Web services (SOAP/REST)
14

Senior Engineer, Data Integration Resume Examples & Samples

  • Play a key role at a senior-level to the ETL and Data Warehouse by implementing a solid, robust, extensible design that supports key business flows
  • Build and maintain optimized ETL solutions to process/load source systems data into Teradata using Informatica and other utilities.·
  • Work with peers in administration to tune code and plan for capacity needs
  • Leads unit, system acceptance, and performance testing by designing test cases, building test data, test execution and evaluation, along with recommending/making improvements/fixes to the system
  • Ensure data security, data quality and governance of data within Teradata and Hadoop ecosystem
  • Develop, implement and maintain applications with RDBMS technologies
  • Knowledge in data warehousing methodologies and best practices required
  • Effective interpersonal relations skills, ability to effectively collaborate with others and work as part of a team required
  • Excellent organizational and time management skills required
  • Works independently, assumes responsibility for job development and training, researches and resolves questions and problems, requests supervisor input and keeps supervisor informed required
  • Participate on interdepartmental teams to support organizational goals
  • Punctual, regular, and consistent attendance
  • Collaborates with project stakeholders to identify product and
15

Data Integration Resume Examples & Samples

  • Must be able to conceptualize, design and write complex SQL queries
  • Maintains working knowledge of CareCentrix systems related to Data
  • Supports development and testing of systems enhancements and maintains a strong working relationship and open communications with full-time and contract staff
  • Provide backup coverage during vacation and sickness for existing team leadership
  • Provides technical support of DI functions
  • Must be able to understand various Query Execution Paths
  • Must be able to conceptualize, design and write complex SQL queries and PL/SQL stored procedures and functions
  • Maintains working knowledge of CareCentrix systems related to PL/SQL
16

Developer Data Integration & Services Resume Examples & Samples

  • Identification opportunities for consolidation of reports to reduce the migration activities
  • Where appropriate configuration of dashboard views / Coric reports / business objects reports on the Core Platform
  • Configuration of reconciliation tools on the Core Platform to compare the legacy and the new output
  • Coordination with business users to ensure efficient UAT testing
  • Accurate and timely status reporting and escalation
  • Technical analysis of existing reports and creating specifications for the future state of each report and feed
  • Implementing the new report on the Core Platform Oracle data warehouse
  • Creation of necessary file transfer jobs
  • Liaising with recipients of reports to ensure reports meet requirements
  • Providing assistance to upstream/downstream systems to ease their migration to the new reports
  • Review current suite of reports and work with the recipients to determine if the reports should be migrated to dashboards, equivalent reports, feeds etc
  • Technical and/or business analysis skills to allow you to assess and communicate the impact to users or to owners of the up / downstream application
  • You are comfortable picking up any tasks required to deliver a feature as you have developed a well-rounded skill set through your involvement in all aspects of software delivery
  • You understand and have applied solutions to cater for non-functional requirements including performance, stability, capacity and scalability and manageability
17

Alis Data Integration Field Rep Resume Examples & Samples

  • Provide efficient communication and collaboration between Lockheed and Pratt & Whitney teams supporting the ALIS Integration and sustainment efforts
  • Ensure all data loads are correctly occurring for migration
  • Troubleshoot data issues on site as they arise during migration
  • Implement additional requirements for ALIS 3.0 and 4.0
18

Deloitte, Consulting, Data Integration Expert Resume Examples & Samples

  • Leading client workshops during the collation of data integration requirements
  • Designing and configuring the applications required to extract data & metadata…
  • Planning data integration workstreams within EPM projects
  • Leading and managing data integration teams to deliver high quality work within the timeframes set
  • Sharing knowledge with other members of the DI domain and across the broader EPM practice
  • Tutoring junior colleagues
  • Carrying out research to keep abreast of the latest developments in data integration technology and practice and producing corresponding thought leadership documents
  • Relevant industry or consulting experience
  • Previous experience of designing, developing & delivering ETL solutions for EPM systems
  • Development experience with Hyperion FDM Classic/FDMEE
  • Good understanding of Relational (OLTP) Databases (especially Oracle & SQL Server) and SQL
  • Good understanding of Multi-Dimensional (OLAP) Database concepts
  • Understanding of Hierarchical Business Metadata (e.g. Chart of accounts, organisational structures)
  • Understanding of data flows and their relationship with the above metadata
  • Strong skills in at least one scripting language (especially VBScript, VBA, Java or Jython)
  • Good knowledge of Windows OS including Windows Batch files
  • Extensive experience with MS Office (especially Excel)
  • The ability to communicate technical information to non-technical individuals in a clear, concise & appropriate manner
  • Ability and willingness to travel for some client engagements
  • Experience with/knowledge of
  • Infrastructure experience with the Oracle EPM Hyperion (HFM, Planning, FDMEE, FCM, DRM etc.) & Fusion Middleware product set, such as
19

Manager, Data Integration Resume Examples & Samples

  • Marketing research & analytics, trends tracking, competitor analysis, analytical thinking
  • Strong written communication, oral communication, and interpersonal skills
  • Ability to work efficiently while maintaining a keen attention to detail
  • Team building, motivating, leadership, forward-thinking
  • Supervise deliverables to client (regular reports, data, ad hocs) and facilitate timely delivery of accurate work products
  • Manage the collection and customization of marketplace data and intelligence to facilitate the development and maintenance of client competitive database(s)
  • Provide guidance during the investigation of new data sources and creation of POVs regarding data usage and incorporation into database
  • Collaborate with the Data Processing & Management team to incorporate data into client database(s) and ensure appropriate data usage
  • Contribute to the ideation and creation of breakthrough solutions for custom databases; lead the compilation of data collection and usage methodology recommendations, overviews and action plans for internal team as well as external constituents
  • Ensure the documentation of current and new processes/methodologies to maintain internal transparency
  • Support Associate Director on tasks and deliverables; train and coach Senior Analyst and Analyst
  • 4 years of professional experience required
  • 2 years of experience with media/marketing preferred (Media/Marketing Data & Analytics, Media Research, and/or Media Planning/Buying)
20

Analyst, Data Integration Resume Examples & Samples

  • Ability to budget and prioritize time as needed
  • Ability to translate data into observations and insights
  • Takes initiative and leadership on assignments
  • Collect, organize and provide media measurement data feeds for marketing mix modeling (MMM)
  • Perform high level analysis of client specific strategies providing context to MMM teams
  • Perform high level analysis of marketplace quarter over quarter, year over year providing context behind competitive and MMM data
  • Perform analysis on competitive data specific to external and internal needs – providing insights into competitive landscape
  • Support Sr. Analyst for weekly regular competitive reporting to client
  • Complete ad hoc data requests from internal teams and external teams
  • Support Sr. Analyst with competitive analysis, MMM data, various research and reporting projects and translating data for analysis
  • Work with multiple internal teams (i.e. planning, buying, IT) and external teams (i.e. partner agencies, client)
  • Client interaction
  • 1-2+ years’ experience in the media industry
21

Senior Manager AML Data Integration & Analysis Resume Examples & Samples

  • Enterprise AML Management Teams
  • Technology & Operations
  • BMO LOB’s – P&C, PCG and CM
  • AML Technology Strategy Committee – BMO Financial Group
  • Legal, Corporate and Compliance Group
  • Enterprise Risk and Portfolio Management, Enterprise Fraud Management
22

Data Integration Engineer, Mid Resume Examples & Samples

  • 3+ years of experience with IT in a professional work environment
  • 2+ years of experience with developing Python
  • Experience with Splunk
  • Experience with working in large federal agency environments, including the USPS, HHS, SSA, Treasury, GSA, and NASA
  • Knowledge of federal information security policies, standards, procedures, directives, frameworks, federal security authorizations, assessment, and risk management processes for enterprise systems
  • BA or BS degree in IT Security, Engineering, or a related field
  • CISSP, Security+, or a related Certification
23

Data Integration SME Resume Examples & Samples

  • Configuring RSA Archer and appropriate modules, including custom modules, if required
  • Candidate will help customer understand the capabilities and limitations of the technology and help them create processes that can be implemented in Archer
  • Candidate will be responsible for documenting all requirements and solutions and training the customer in usage of the application
  • Experience with NIST standards is a plus (This includes experience executing the full life-cycle of C&A activities including: defining the certification boundary, performing formal and technical risk assessments, developing and executing Security Test and Evaluation(ST&E) requirements, and developing Systems Security Plans (SSP) in accordance with federal and industry directives, guidelines, and best practices.)
24

Data Integration Technical Lead-odyssey Resume Examples & Samples

  • Extensive programming experience in T-SQL Hands on experience using Visual Studio 2012
  • Experience with SSIS, SSRS, SSAS
  • Experience in .Net framework, IIS 7.0, SQL Server 2008/2012
  • Strong Knowledge and experience of professional design & coding practices to facilitate the development, delivery and integration of projects
  • Proven track record of leading a high performing team and strives to get the best out of their people
25

Data Integration Task Leader, Nepal Resume Examples & Samples

  • Coordinate provision of advice on ICT aspects of municipal tracking databases that may require improvements, write scopes of work for ICT specialists
  • Collaborate with government on selection of districts to pilot the most proficient and heaviest usage of data
  • Collaborate with government on selection of indicators to emphasize for in-depth treatment and understanding
  • Collaborate with government officials on the selection of indicators for effective use of Web-based reporting systems, SQL databases, and other data management programmes
  • Provide technical assistance on appropriate ICT tools that optimize results for different government beneficiary institutions
  • Link to other technical components of the project
  • Link to similar components in other government or development partner projects
  • An advanced degree (Masters or equivalent) in ICT, economics, management or a related international development-related discipline with focus on data integration and 9 years of experience
  • Substantial experience with database design and management for municipal or sub-national indicators tracking and experience with implementation and policy design of decentralized programs strongly required
  • Previous experience in local policy dialogue and participatory planning is a plus as well as experience in South Asia (Nepal-specific a plus)
  • Excellent communication skills (attention to details is required); flexible and able to multi-task
  • Must be able to work collaboratively (across time zones and cultural boundaries)
  • Willingness and ability to live and work in Nepal for the duration of the Programme
  • Fluency in English is required
26

Senior Data Integration Engineer Resume Examples & Samples

  • BS in Computer Science or related field; or equivalent combination of education and experience
  • Minimum 5 years’ overall work experience as a developer performing Extract, Transform and Load (ETL) responsibilities
  • Advanced Knowledge of at least one Integration tool such as Dell Boomi, DataStage or Informatica
  • Strong understanding of Enterprise data integration patterns and techniques
  • Ability to develop complex SQL queries (ex: using various joins and sub-queries) and stored procedures
  • Ability to validate data integration by developing and executing test plans
  • Demonstrated success quickly learning new systems and being able to apply the same design principles or complementary ones as it makes sense
  • Experience with Kronos’s Workforce Central Suite is a plus
  • Experience with SaaS HCM systems such as WorkDay and SAP Successfactors as pertains to interfaces and APIs is a plus
  • Ability to thrive in a fast paced environment and working with remote teams with minimal direction and tight deadlines
  • Strong problem-solving skills, troubleshooting, and root cause analysis
27

Data Integration Solution Consultant Resume Examples & Samples

  • Meets with business teams to define and document best practice data integration solutions that deliver rapid business value
  • Evaluates currently implemented projects to identify opportunities for enhancement and/or alterative solutions
  • Works with development teams to identify accurate cost and resourcing needs for ETL projects. Responsible for defining a repeatable estimation process to accurately depict costs and timelines to customers
  • Lead the effort and be a significant contributor to design adoption of data integration best practices for Informatica and other data integration tools
  • Lead ETL solution design sessions that incorporate complex business transformations and high volumes of data while retaining a focus on optimal performance
  • Frequently will partner with development resources to obtain feedback on challenges and opportunities that can be incorporated into frameworks or internal white papers
  • Leads efforts to diagnosis complex ETL and/or performance issues in existing production applications. Be able to lead the bridge calls and mobilize resources to help solve production issues in complex environments
  • Facilitates data integration design reviews for multiple projects and consults with project teams on design options and alternative solutions
  • Identifies opportunities for new data integration architectural initiatives and makes recommendations on optimizing ETL platforms and solutions
  • Recognizing data integration industry trends and organizational demands and communicating opportunities to the team
  • Leading the identification and creation of new SADC services that meet the evolving data integration needs of our organization
  • 8 years of Informatica PowerCenter ETL Development experience with at least 2 years in a lead role
  • 5 years Solution Design and Architecture experience with an emphasis on Oracle and Informatica technologies
  • 2 years of demonstrable IT Project Management
  • Big Data/Hadoop technologies experience
  • Experience with reporting platforms such as Tableau, Cognos, Business Objects
  • Experience in Informatica administration
  • Proven experience delivering data integration solutions in both Agile and Waterfall delivery methodologies
28

Data Integration Services Representative Resume Examples & Samples

  • Bi Lingual French / English Mandatory **
  • Develop Data Integration Sales opportunities and maintain customer relationships in the defined customer territory
  • Promote and evangelize Oracle products to selected customers, partners, and internal audiences
  • Develop relationships and collaborate with our partners to define, recommend, and drive sales
  • Develop and execute a sales plan that provides complete territory and sector specific coverage
  • Develop appropriate sales programs and solutions; maintain up-to-date competitive information and compile regional success stories
  • Meet with senior customer contacts to build credibility and develop lasting relationships
  • Engage with Pre-Sales support for customer meetings to develop customer discussions further
  • Lead successful go-to-market campaigns by working closely with internal marketing specialists
  • Contribute and lead in account planning, customer/market analysis, and strategy sessions
  • Contribute individually and as a team member, providing direction and mentoring to others
  • 3 to 4 years of experience in direct software sales
  • Proven track record in a sales-driven organisation, selling technology-related products and services
  • Solid written, verbal, and presentation skills
  • Creative with strong problem-solving skills and an ability to succeed in a fast-paced environment
  • Proven ability to work well as part of an extended sales team
  • Knowledge of Oracle products preferred but not essential
  • Fluency in English & French
  • Team player and self-motivated
29

Director, Data & Integration Services Resume Examples & Samples

  • 15% Acts as a resource to senior management on issues of extreme technical complexity and magnitude for existing application stacks as well as new customer integrations efforts
  • 15% Provides direction on development of critical business and infrastructure solutions
  • 15% Provides architectural guidance to the engineering team
  • 10% Must be able to support business units in understanding technology risks and needs and provide direction to improve their ability to respond to business drivers
  • 5% Serves as a leader and mentor in the development and support of product frameworks
  • 10% Applies innovative problem solving techniques to bridge business needs to solutions
  • 5% Provides support and refinement of development standards and practices
  • 5% Provides guidance on the development of metrics and tools
  • 15% Spearheads innovation efforts to increase our service offerings in the Parallon Revenue line of business
  • 5% Manage other domain architects
  • 7+ years
  • 1-3 years of management experience required
  • Understanding of BIG data concepts and how to apply offerings to meet a business need
  • 4+ Years previous experience of JAVA/.NET Development
  • Excellent understating of HADOOP ecosystem
  • Understanding in scheduling workflows using Oozie
  • Knowledge of Designing, Implementing And Deploying Custom Applications On Hadoop (Using Map reduce and/or RDD)
  • Has Knowledge On Relational Data models
  • Knowledge of Designing, Implementing And Deploying ETL To Load Data Into Hadoop/NoSQL
  • Excellent Knowledge of Linux
  • Object-Oriented Analysis, Design, and Programming
  • Architectural Specification using UML
  • ESB Implementations using Biztalk and SOA
  • Distributed Architectures such as .NET, J2EE
  • Enterprise Application Integration and Service-Oriented Architecture techniques
  • Message Oriented Middleware such as MQ Series and Publish and Subscribe architectures
  • Rules Engines and State Machines
  • Creation of tools, frameworks, and facilities
  • Facilitates recruitment of engineering staff
  • Evaluates growth of technical, analytical, and leadership skills of development personnel
  • Acts as a liaison with other groups in the organization
  • Capable of managing large engineering teams
  • Must possess a strong understanding of current agile development methodologies
30

Data Integration Center of Excellence Manager Resume Examples & Samples

  • Team leadership and Project Management skills
  • A strong expertise on Integration Service Management
  • Very good knowledge in Integration Patterns, Data Integration, SOA, EIP
  • A large expertise in Informatica and/or Webmethods
31

Senior Associate, Data Integration Resume Examples & Samples

  • Designing and developing integration solutions for EAI and ETL needs including Big Data
  • Create end to end data flows to support data extraction and analysis of tax datasets from ERP systems and other Tax engines
  • Develop data validation, verification and reconciliation checks to help ensure high quality data
  • Plan and adapt to changes in data structures, data volume and data sources
  • Work effectively with various technology groups, clients and tax domain experts
  • A minimum of 3 years of experience with SQL skills with ETL/EAI using tools such as Alteryx, Talend, SSIS
  • Bachelor’s degree from an accredited college/university or foreign equivalent (Master’s degree preferred) in engineering, computer science, information systems, management information systems or related fields
  • Expert in data architecture, data quality, data mapping, and data structures. Experience with SOA, Data Quality, and Master Data Management best practices. Full stack developer
  • Experience in building and optimizing large scale data solutions using Hadoop and NoSQL (HDFS, HBase, Hive, Scoob, Flume, Spark, MapReduce, Kafka, Cassandra, MogoDB, Mahout, Pig)
  • Expertise in R/Java/Python a plus
  • Knowledge of Financial Services(GL) a plus
32

Developer, Data Integration Resume Examples & Samples

  • Responsible for integration design, development, implementation on assigned projects, and operational support in the TIBCO/EAI platform
  • Assist with management of application platforms from a security, capacity, reliability, and overall performance perspective
  • Maintain code efficiency and data integrity in all deliverables
  • Provide leadership in business requirement definition for new projects
  • Provide leadership in customer service to our business community for change requests and issue research
  • Define, test, implement, and govern technical standards for the overall EAI development framework
  • Compliance to SDLC and SOX in all aspect of application development
33

Product Administrator, Data Integration Resume Examples & Samples

  • Analyse potential new products and decide on suitability for the catalogue
  • Correct, replace, add and update product data as a response to a raised query or as part of ongoing projects
  • Support team objectives to integrate new products through detailed assessment of the quality of the product
  • Generate reports on the product integration KPIs for key stakeholders
34

Data Integration Engineer, Senior Resume Examples & Samples

  • Experience with NoSQL databases, including Redis, MongoDB, and HBase
  • Knowledge of Java, XML, and JSON
  • Knowledge of concurrency and parallel processing algorithms and data structures
  • BA or BS degree and 6 years of experience with software engineering or MA or MS degree and 4 years of experience with software engineering
  • Experience with modern enterprise platform architectures and technology stacks, including big data storage and processing solutions
  • Experience with Hadoop, including HDFS, MapReduce, and YARN
  • Experience with Docker, Kubernetes, or Red Hat OpenShift
  • Experience with Chef, Puppet, or Ansible
  • Experience with Extract, Transform, Load (ETL) approaches and tools, including Pentaho Kettle
35

Senior Assoc, Data Integration Resume Examples & Samples

  • 3+ years of hands on experience working on one or more Data Quality tools (ex: Informatica, Trillium, SAS/DataFlux)
  • 3+ years of hands on experience working on one or more metadata tools (ex: Informatica metadata manager, MetaCenter, ABI metadata hub)
  • 3+ years of financial industry experience
  • 3+ years of Data Governance or related experience
36

F&O Data Integration Spec Resume Examples & Samples

  • Resolve implementation conflicts with clear business requirements and alignment to organizational strategy
  • Advanced troubleshooting and multi-tasking skills
  • Basic knowledge of project management
37

Manager, Data Integration Resume Examples & Samples

  • Leadership and team building skills with a proven track record of building high performing teams
  • Excellent collaboration and communication skills to effectively work in a highly cross-functional environment
  • Excellent organizational, time management, and decision-making skills
  • Ability to manage multiple, concurrent projects
  • Reliable, self-motivated, and focused on high quality delivery of work products; willing to accept responsibility and accountability
  • Deep technical expertise in data domain, especially in the areas of Data Warehousing, ETL tools, SQL and Hadoop
  • Strong understanding of technical and architectural best practices in the related domains
  • Ability to relate data to business requirements and business outcomes
  • Bachelor degree in Computer Science, M.I.S., Business, Math/Stats or related field
  • Experience managing technical staff of 4 or more individual contributors
  • At least 7 years of Data Development experience in Data Warehousing environment (e.g. Teradata); experience with all aspects of DWBI Technical and Data Architectures
  • At least 2 years of hands-on experience with BI tools (e.g. Business Objects, Tableau)
  • At least 4 years of hands-on experience with ETL development (DataStage experience preferred but not required)
  • Experience integrating data warehouse with Hadoop data environments
  • Experience with NoSQL Databases such as Couchbase preferred
  • Experience with Java development is a plus
  • Experience working with Cloud infrastructure preferred (e.g. AWS)
  • Experience working in an Agile environment strongly preferred
  • Prior experience working in e-commerce or digital media companies preferred
38

Data Integration Solutions Developer Resume Examples & Samples

  • Experience with XML and XSLT
  • BA or BS degree and 6+ years of experience with developing software applications or MA or MS degree and 4+ years of experience with developing software applications
  • Experience with Python or Scala
  • Experience with Docker, Kubernetes, or OpenShift
  • Experience with Apache Spark, Storm, or NiFi
  • Experience with Java Open Source tools and libraries, including Maven and Spring
39

Data Integration Associate Resume Examples & Samples

  • Assist Senior Associate and Manager with managing the process for validating the implementation, optimization and reconciliation of all campaign data, specifics include
  • Assist the Senior Associate and Manager with all day to day duties
  • Help ensure that all media plans and data associated with them follow organizational standards
  • Work with the technology team to ensure that data output into data applications for the analytic teams
  • Work with the Senior Associate and Manager on implementation and optimization of campaigns, including
  • Keeping up to date on all communications with planning team regarding buy authorizations, tracking reports, buy changes, creative specifications, etc
  • Assist Senior Associates and Managers with reviewing all digital campaigns to ensure that data follows organizational standards
  • Work with external partners to troubleshoot tracking and data discrepancies
  • Work with the Technology team on data processing
  • Assist with the investigation and resolution of potential data issues identified in the data reporting application
  • Bachelor’s degree, preferably with a concentration in advertising, marketing, math, computer science
  • 1-2 years of project coordination/ad trafficking experience in agency or media environment
  • Ability to juggle multiple projects and priorities with competing deadlines
  • Comfortable collaborating and communicating in a team environment and with all levels of management
  • Ability to drive deliverables through completion and hold team members accountable for their work
40

VP, Analytics & Data Integration Resume Examples & Samples

  • Provides visionary direction for data and analytics capabilities in support of business goals
  • Re-envisions and continuously evolves the company's services at various levels including: Data Architecture, Master Data Management, Business Intelligence / Reporting, Enterprise Data Warehouse, Big Data, Analytics, Data Visualization, Metadata Management, ETL/ELT Processing
  • Integrates all aspects of Data and Analytics technology enterprise wide
  • Optimizes resource and technology investments utilizing standard and rationalized platform solutions
  • Ensures delivery of all work orders to time, quality and efficiency targets
  • Directly responsible for hiring, coaching, development of directors in department
  • Establishes improvement of department through world class delivery processes and controls by establishing data standards and governance
  • Builds strong communication across teams in order to maintain high morale and accelerate projects through cultivated relationships
  • Builds strategic plans to increase customer satisfaction
  • Provides thought leadership towards departmental changes such as technology and structure necessary to become and maintain best-in-class status in analytics and data management that leverages years of practical industry experience
  • Resolves and corrects issues across multiple functional areas
  • Leads the recruitment, training, retention, and organization of all development staff in accordance with the company hiring process, personnel policies, and budget requirements
  • Establishes standards of performance and monitor conformance for staff through performance review and vendors through service level agreements
  • Preferred A Master's Degree in a related field
  • Required 10+ years of experience in Information Systems in the data analytics arena(health care preferred)
  • Required 7+ years of management experience
  • Advanced Demonstrated time management and priority setting skills
  • Advanced Ability to influence internal and external constituents
  • Advanced Ability to implement process improvements
  • Advanced Demonstrated project management skills
  • Advanced Demonstrated leadership skills
  • Advanced Ability to work within tight timeframes and meet strict deadlines
  • Advanced Ability to lead/manage others in a matrixed environment
  • Advanced Other Successful delivery of MDM, BI/EDW, Analytics, Data Visualization and/or Big Data production solution deployments, ideally in the health care arena
  • Other Strong organizational Savvy
  • Required Advanced Microsoft Project
  • Required Advanced Microsoft PowerPoint
  • Required Advanced Other Strong proficiency in Project Management Methodology (PMP, Scrum, Six Sigma, etc…)
  • Required Advanced Other Experience with complex SDLC methodologies (example: waterfall, Agile, etc)
  • LI-CS1
41

Internship Process Data Integration Resume Examples & Samples

  • The ideal candidate is pursuing a bachelor’s degree in Business, Science, or Engineering
  • Strong problem solving, planning, organization skills
  • Ability to work effectively in team-oriented, dynamic environment as well as ability to work independently
  • Strong communication (verbal, written) and presentation skills
  • Strong interest in analyze complex business work process and electronic data flow
  • Experience with process and data flow mapping related software is a plus
  • Candidate must be available to work full-time (40 hours/week) during the 6 month co-op session
  • Students must be able to provide their own transportation
42

Data Integration Resume Examples & Samples

  • Bachelor’s degree, or equivalent work experience
  • Five to eight years of related experience in database and information systems environments
  • Ability to support EDI application with strong technical, analytical and problem solving skills
  • Considerable knowledge of operation functions, systems, policies and procedures for the assigned area
  • Excellent organizational, managerial and project management skills
  • Ability to manage multiple tasks/projects and deadlines simultaneously
  • Thorough knowledge of banking operations and human resources
43

Global Clinical Data Integration Intern Resume Examples & Samples

  • An ideal candidate for this position will have strong analytical and problem solving skills, efficient time management expertise, an ability to work in a team and handle conflicts efficiently
  • The intern is responsible for analyzing and maintenance of several databases
  • The individual will work closely with the team members to support database functions by utilizing designing and coding utilities along with updating and amending the existing databases
  • Available for 9-12 weeks beginning June 2017
  • Must be returning to school in the Fall of 2017
  • Understanding of database management systems software
  • Experience in database development and PL/SQL, SAS
  • Microsoft Office Suite (including Excel, DB Access, MS Project)
  • Knowledge of web development
  • Experience with HTML, JavaScript, CSS
  • Experience in troubleshooting technical issues
  • Good analytical ability
  • Oracle database preferred
44

Data Integration & Modelling Resume Examples & Samples

  • Need to work as a Senior team member to contribute in various technical streams of EI implementation project
  • Provide product and design level technical best practices
  • Completion of assigned tasks on time and regular status reporting to the lead
  • Building a quality culture
  • Manage the performance management for the direct reportees, as per the organization policies
  • Foster teamwork and lead by example
  • Training and mentoring of project resources
  • Participating in the organization-wide people initiatives
  • BE/BTech/MCA/MBA with adequate industry experience
  • Should be at least around 6 years of experience in Enterprise intelligence
  • Must be hands on SQL and procedural SQL languages and ETL tools like Informatica,SAP BODS, Data Stage,ODI,SSIS etc
  • Should have understanding and experience of software development best practices
  • Excellent business communication, Consulting, Quality process skills
  • Should have completed at least 2 full life cycle experience in a ETL project using any tools like Informatica, SAP BODS, ODI,SSIS,Datastage
  • Must have at least 4 years of deep experience in ETL tools
  • One life cycle implementation using any of the Data Quality tools like SAS Dataflux or Informatica DQ would be an added advantage
  • Understand and assess the Source to target map documents and provide the recommendations if any
  • Must be able to analyse, design and develop ETL mappings, workflows
  • Must be hands on Unix scripting
  • Develop logical and physical data flow models for ETL applications. Translate data access, transformation and movement requirements into functional requirements and mapping designs
  • Code, test, implement and maintain medium to highly complex ETL mappings and scripts to build and maintain automated ETL processes
  • Good exposure to SSIS, SSRS, SQL Server, PL/SQL , DB2, Oracle, Teradata, Netezza
  • Experience in Insurance domain, preferably in Property & Casualty
  • Experience in Banking and Capital market domain
  • Prior Client facing skills
45

Data Integration Modeler Resume Examples & Samples

  • Develop and maintain business object models, logical/physical data models using IAA/IIW models to create operational data store
  • Create data model structures to enhance performance of the application by creating aggregation and summarization structures
  • Collaborate with technical teams to define and implement Model Driven Architecture practices enterprise-wide
  • Interpret business requirements into a technical design
  • Define, document, and present technical design
  • Providing technical knowledge, using best practices, supporting a culture of continuous improvement
  • Collaborate with subject matter experts, various stakeholders and fellow developers to design, develop, implement and support complex business solutions
  • Knowledge of data modeling standards and best practices
  • Ability to develop ETL Specification based on requirements and communicates process to other technical teams
  • Ability to gather, analyze, and consolidate complex business requirements
  • Ability to facilitate model design sessions with multiple teams
  • Ability to work collaboratively with both business and technical teams as a Subject Matter Expert on the IIW model
  • 3+ years Commercial Insurance business knowledge
  • 3 + years IT Experience
  • 1+ year Data modeling experience
  • Strong Understanding of Model Driven Architecture
  • Strong Understanding of SOA
  • Data aggregation/mining design patterns
  • 1+ year experience with Oracle database
  • Ability to develop solutions involving geospatial data and time series
  • Eight or more years of solid, diverse work experience in IT, database management, analytics or an equivalent combination of education and work experience
  • Strong analytical ability, problem analysis techniques, a broad knowledge of technology alternatives
  • Excellent communication skills, and the ability to work effectively with business clients and IT resources
  • Ability to understand projects at a high level without losing sight of granular details when managing projects
46

Analyst Data Integration & Business Intelligence Resume Examples & Samples

  • Analyse and profile data and data sources
  • Produce use cases for data integration and consumption rules, user interfaces and prototypes
  • Participate in drafting functional requirements
  • Guide developers in the application of the various data integration and consumption rules
  • Play an active part in data migration activities, from development to production deployment
  • Prepare functional test plans and participate in testing
  • Carry out quality assurance activities (testing, etc.)
  • Take part in deployment activities
  • Work alongside data architects, other architects, programmers, business analysts and project managers on various projects and initiatives
  • Help write project documents (scope, estimates, functional requirements, etc.)
  • Analyse the impact of change requests on existing systems
  • Provide production support by analyzing bugs and recommending solutions
  • Create, configure and optimize data warehouses
  • Become a key resource for the optimization of CDS business intelligence solutions
  • Bachelor’s degree in information technology or a related field, or equivalent experience
  • At least 10 years of experience in IT (or equivalent experience)
  • At least 5-8 years of experience with target competencies
  • Proven excellent grasp of the IT and business intelligence solutions industry
  • Good ability to learn and assimilate various business sectors, including relationship marketing
  • Experience working on major IT projects, preferably as an analyst or BI programmer-analyst
  • Proficiency with SQL language
  • Excellent experience with the following technologies: SQL Server, SSAS, SSIS, SSRS, Business Objects, PowerDesigner
  • Knowledge of NoSQL data, BigData and/or Data Vault an asset
  • Proficiency with data modelling concepts (conceptual, logical and physical)
  • Knowledge of Microsoft suite tools (SQL, SSIS, SSRS, SSAS) and Business Objects (WebI) a major asset
  • In-depth knowledge of business intelligence solutions and any other digital business platform component
  • Excellent knowledge of Microsoft Office tools, including in-depth knowledge of Visio
  • Solid knowledge of VSTS functions related to the tasks and responsibilities of the job
  • Experience with Agile methods an asset
  • Knowledge of and experience with SOA concepts an asset
  • Ability to execute several tasks at a time, either independently or as a team member, and to meet deadlines
  • Basic knowledge of clients’ business practices in order to make relevant suggestions
  • Good communication and listening skills, ease in communicating ideas and explaining concepts
  • Strong aptitude for teamwork and excellent interpersonal skills
  • Attention to detail, analytical skills, curiosity
  • Change agent: ability to accept and promote change
  • Availability, reliability and integrity
  • Strong verbal and written communication skills in English and French
47

Engineer Data Warehousing & Data Integration Resume Examples & Samples

  • Diploma (University or University of applied science) or Master degree in Information Technology or similar relevant fields,
  • Knowledge of data warehouse architecture approaches and trends (big data), and high interest to apply and further develop that knowledge
  • Development and documentation abilities paired with very good communication & technical documentation skills, e.g. ability to understand and document complex data flows as part of business / production processes
  • Knowledge in collecting, structuring and summarizing requirements in a data warehouse environment
  • Knowledge in turning requirements into data warehouse design artifacts (ETL framework design, data modeling, source-target-mapping)
  • Knowledge in SQL and thorough knowledge of XML
  • Knowledge with one or more industry-leading ETL tools, preferably Ab Initio and respective infrastructure
48

Experienced Engineer Data Warehousing & Data Integration Resume Examples & Samples

  • Diploma (University or University of applied science) or Master degree in Information Technology or similar relevant fields
  • Very good knowledge of data warehouse architecture approaches and trends (big data), and high interest to apply and further develop that knowledge
  • Excellent design and development abilities pared with very good communication & technical documentation skills, e.g. ability to understand and document complex data flows as part of business / production processes
  • Experience in collecting, structuring and summarizing requirements in a data warehouse environment
  • Experience in turning requirements into data warehouse design artifacts (ETL framework design, data modeling, source-target-mapping)
  • Proven experience with large, complex database projects in environments producing high-volume data (preferably in an environment using ORACLE)
  • Proficiency in SQL and thorough knowledge of XML
  • Experience with one or more industry-leading ETL tools, preferably Ab Initio, and respective infrastructure, and some years of development experience in ETL projects
  • Fluency in either German or English; very good written and spoken English
49

Data Integration Engineer, T-sens Resume Examples & Samples

  • Reviews, evaluates, and designs data transfer and data integration services, physical and associated logical data models and implements high quality data transfer structures securely
  • Identifies key data sources from target systems to meet project requirements, constructs data quality control solutions (as part of the data transfer process), provides data flow diagrams
  • Some prior experience with healthcare \ life sciences \ clinical trials \ pharma data
  • Good knowledge and experience with at least one RDBMS, e.g. Oracle, SQL Server, etc
  • Strong skills and knowledge in SQL \ T-SQL \ PL/SQL
  • Good general software development experience and systems administration, e.g Linux sys admin, Java development, etc
50

Data Integration Engineer, UK Resume Examples & Samples

  • Understands and implements data transfers securely and with traceability / auditing to industry best practice standards
  • Designs and implements ETL processes for efficient data extraction from disparate clinical systems and databases
  • Management and analysis of the transferred data, including daily updates, review, and evaluation
51

Data Integration Engineer, Spain Resume Examples & Samples

  • Identifies key data sources from target systems to meet project requirements, constructs data quality control solutions (as part of the data transfer process), and provides data flow diagrams
  • Extensive experience of conceptual, logical and physical data extraction, transformation and loading
  • Extensive experience with at least one ETL tool, e.g. SSIS, Talend, Mirth, Mulesoft etc
52

Senior Data Integration Engineer Resume Examples & Samples

  • Play a key role at a senior-level to the Big Data ingestion, transformation and harmonizing data by implementing a solid, robust, extensible design that supports key business flows
  • Build and maintain optimized Big Data solutions to process/load source systems data into Hadoop using Kafka, Sqoop or Microservices, or distcp. The presentation layer will be built in Teradata using Informatica and other utilities
  • Deep knowledge of Kafka in Hadoop ecosystem is a must for this role
  • Develop, implement and maintain development best practices for within Teradata environments
  • Strong experience with Hive, Pig, Flume, Sqoop, Kafka, and Storm
  • Deliver clear, well-communicated and complete project documents
  • Analyze and solve problems and recommend improvements to existing systems and processes
  • Design, code and test major segments of a system in a timely manner
  • Ensure data security, data quality and governance of data within Hadoop and Teradata ecosystem
  • Skills in navigating a large organization in order to accomplish results required
  • Ability to initiate and follow through on complex projects of both short and long term duration required
  • Excellent analytical and problem solving skills required
  • Perform other related duties and tasks as assigned
  • 5 + year of experience working as data integration, data solution architect EDW, ODS, ETL architect or similar role required
  • Two plus years hands-on experience (must have) developing applications using Kafka, Sqoop, Hive/Impala/Pig, Spark/Storm in Hadoop Ecosystem
  • Coding experience in any of programming language like python, java, scala is a plus
  • Extensive database experience/knowledge on one of the following NOSQL solutions: HBase/Cassandra/Accumulo,
  • Batch processing -- Hadoop MapReduce, Cascading/Scalding, Apache Spark, AWS EMR
  • Exposure and experience in one of the Stream processing -- Spark streaming/ Apache Storm/Flink
  • Five to seven years with data integration, Development of End to End ETL architecture using Big Data Ecosystem, Kafka, Sqoop, Linux, Informatica, Teradata, SQL, BTEQ
  • Requires understanding of complete SDLC and Experience with continuous integration, test-driven/behavior-driven development, and agile, scrum development methodologies
  • Ability to work effectively across organizational boundaries
  • Excellent oral, written, analytical, problem solving, and presentation skills
  • Coordinate 1-3 matrix resources
  • Experience with managed service and on-shore and off-shore development experience is must
  • Telecommunications experience Knowledge of Telecommunication/Cable billing, customer care systems e.g. DST, CSG and AMDOC etc
  • TOGAF Certified
53

Data Integration / Cube Developer Resume Examples & Samples

  • Develop Data Warehouse, Data Integration and Business Intelligence requirements
  • Create Detailed Scope for the Data Warehouse Modernization
  • Project and create smaller, business domain specific phases based on business priorities (such as marketing, finance, HR, etc.)
  • Develop and Implement Data Warehouse, Data Lakes and associated Data Integration Processes
  • Provide an the end-to-end solution for assigned projects
  • Conduct Knowledge Transfer Sessions
  • Minimum of five (5) years of Data Integration / ETL and Cube development experience with SSIS, SSAS, Essbase, using complex TSQL required on large scale Data Warehouse projects (both, on premise and in Cloud implementations)
  • Ability to create Dimensional Cubes within SSAS for various department specific metric analyses. Prior experience with Essbase, Hyperion, or Graph databases would be preferred
  • Minimum of two (2) years of working experience with Agile methodology
  • Good communication skills, team work and ability to work with business and IT teams is a must
  • Prior experience in the education domain would be preferred
54

Data Integration Product Marketer Resume Examples & Samples

  • Understands and can articulate the business and technical value of products within the Data Integration & Governance (DIG) portfolio and their application within key IBM initiatives
  • Serves as member of one or more Product Offering Teams to ensure that new product releases have compelling business value and well-defined go-to-market plans
  • Supports demand generation activities and events by developing compelling product launches, campaigns, and program activities with thought leadership materials such as client and executive presentations, articles, white papers, data sheets, videos, website communications, newsletters, and social media initiatives
  • Develops compelling product positioning and messaging that differentiates IBM products in the market
  • Supports sales play development and execution, driving awareness and accessibility of marketing assets to sellers
  • Help sellers and other stakeholders understand and leverage marketing materials in support of sales plays and customer engagement
  • Create tools and assets, including competitive battle cards, prospecting guides and ROI tools, to support sales and marketing activities, with the assistance of portfolio SMEs as needed
  • Act as the marketing focal point for the client reference team and develop new client references for key focus areas
  • 7+ years of enterprise software, middleware or cloud applications product marketing experience with at least 5 years of experience in a field facing role
  • 7+ years knowledge and experience in data management, data warehousing, analytics, or information integration preferred
  • 7+ years Effective interpersonal skills for dealing with others at all levels within the IBM organization and with prospects, customers, and partners
  • 7+ years Ability to understand and present a product message in a compelling format to IBM sellers and business partners as well as to prospects and customers
  • 7+ years Excellent communication skills are crucial – verbal skills (one-on-one as well as presentation skills) as well as writing skills with the ability to tailor marketing content to different audiences
  • 7+ years Ability to manage multiple complex tasks, setting priorities, managing expectations, and delivering results on schedule
  • 7+ years Excellent team work skills required for an environment that requires continual collaboration across organizations, roles, and geographies
55

Data Integration Resume Examples & Samples

  • Work to sell IIG software across North America
  • Sell value propositions including Business Value Assessments to differentiate IBM products and services across IIG
  • Sell to and develop C Level relationships at Fortune 100 corporations
  • Design and sell industry defining solutions coupled with implementation services if necessary
  • Operate as part of a broader sales and technical sales team
  • Take a key role in the identification, development and go-to-market of new industry solutions, working within the successful IBM sales processes and tools
  • Support sales team in full sales cycles including prospecting, identifying and qualifying opportunities, RFP/RFI responses, pricing and competitive strategy and negotiations
  • 7-10+ years experience with at least 3-5 years in senior leadership position either in software/consulting or in one of the Industry verticals
  • Strong customer presence and ability to develop and deliver compelling presentations/workshops
  • Effective communication and interpersonal skills, plus the drive and initiative to overcome obstacles in a new and rapidly changing space
  • Fluency in data integration, MDM, data governance and familiarity with cloud, social, mobile,open source technologies
  • Must be able to travel anywhere in North America
  • Highly motivated and self-directed with a strong business work ethic, positive attitude and professional demeanor
  • Comfortable with constant and rapid change while also comfortable working autonomously
  • Ability to travel 50% or more anywhere in North America
56

Director, Data Integration Resume Examples & Samples

  • Builds trusted partnerships with business and other IT partners and drives business enablement leveraging data
  • Directs the delivery of complex data and analytics portfolio of projects by closely partnering with business and Enterprise Architecture. This includes management of data warehouse solutions and implementation
  • Leverages Agile development methodologies to increase the throughput and success of development efforts
  • Provides subject matter expertise to drive a step change in the data space by improving speed of delivery and reduce cost while simplifying the data environment
  • Works closely with business sponsors and stakeholders to drive execution of data strategies and solutions, and ensure portfolio projects are successfully executed and delivered on time, on budget with high quality
  • 7+ Years of data warehousing experience. In depth knowledge of data management strategies, principles and practices, including 3+ years of managerial, supervisory and/or demonstrated leadership experience.(Required)
  • 7+ Years of managing/delivering large and complex IT projects. Desired experience in Agile methodology.(Required) #LI-KM1
57

Data Integration, VP Resume Examples & Samples

  • Tracking against Data strategy
  • IM center of excellence
  • Enterprise data management strategy
  • Enterprise content management strategy
  • A track record of success in implementation of large cross organization technology data projects
  • ETL, ELT, data federation, data synchronization and change data capture skills
  • Strong background in systems development (Managed a team with both operational and project responsibilities)
  • DBMS and Data modeling skills
  • Hands on experience designing and building out a SOA (Microservices skills), defining canonicals
  • Has a strong understanding of control systems and relevant technologies and how they interact with each other
  • Has strong management, organizational and evaluative process skills
  • Experience in Metadata process, data lineage and traceability repositories and technologies
  • Can analyze complex organizational and technical issues related to technology and identifies opportunities to improve performance and efficiency
  • Demonstrated ability to develop and maintain productive business relationships with internal partners and external vendors
  • Experience with IT infrastructure, IT application technologies and frameworks
  • Experience in Data warehouse technologies and operation
  • Experience in Data modeling and database design
  • Experience in emerging technologies
  • Experience in highly distributed complex business and technology environments
58

Senior Data Integration Engineer Resume Examples & Samples

  • Play a key role at a senior-level to the ETL and Operational teams by implementing a solid, robust, extensible design that supports key business flows
  • Builds and maintains optimized data management s/w solutions to process/load source systems data, EDI files, and other flat files into Oracle/Hadoop, and/or multiple database systems using Pentaho and other utilities
  • Develops, implements and maintains development best practices within data management environments
  • Strong experience with Hive, Pig, Sqoop, Kafka, Storm, Spark
  • Work with peers in infrastructure administration to tune code and plan for capacity needs
  • Deliver clear, well-communicated and complete project documents and support documents
  • Ensure data security, data quality and governance of data
  • Develop, implement and maintain applications with RDBMS and NoSQL technologies
  • Perform other related duties and tasks as assigneD
  • 7 to 11+ years of experience working as data integration, data solution architect EDW, ODS, ETL architect or similar role required
  • 7 to 11+ years with data integration, Development of End to End ETL architecture using Linux, Pentaho, Informatica, Oracle, SQL, P/SQL
  • Two plus years hands-on experience in developing applications utilizing one more, Hadoop Ecosystem components e.g. Sqoop, Hive, Pig, Flume, Accumulo, HBase, Kafka, Storm, Spark Thrift API and Storm-required
  • Requires understanding of complete Agile Development Life Cycle and Experience with continuous integration, test-driven/behavior-driven development, and agile, scrum development methodologies
  • Manage and Co-ordinate 1-3 matrix resources
  • Telecommunications experience Knowledge of Telecommunication/Cable billing, customer care systems, EDI file processing e.g. DST, CSG and AMDOCS etc a great advantage
  • Knowledge of NoSQL platforms
  • Oracle, Big Data Certified
59

Data Integration Administrator Resume Examples & Samples

  • Routing live deals to the appropriate account owner
  • Conducting conflict checks for deal registrations and incentive programs against Cisco¿s commerce tool and Meraki Salesforce
  • Creating leads and reseller accounts in Salesforce for the sales team
  • Matching Meraki¿s existing customer database and reseller database to that of Cisco¿s
  • Conducting internet and portal research to properly classify new accounts
  • Sharing deals with sales representatives
  • Ability to work in a high energy and high deal volume environment
  • Attention to detail is an absolute must
  • Strong organizational skills coupled with and multi-tasking ability
  • Experience with Salesforce preferred
  • Previous experience in sales support or data entry preferred
60

Data Integration Intern Resume Examples & Samples

  • Design, development, integration and deployment of reporting and data migration solutions
  • Provide data analysis focusing on the business needs of our customers, both internal and external
  • Work with Product Management, other software development teams, QA and Operations through all phases of the Software Development Life Cycle
  • Working in cross platform environments and, in particular, familiarity with both Windows and Linux
  • Customer Relationship Management (CRM) and Financial Systems such as, Salesforce.com and Aprimo
  • Performing in an agile, self-directed team environment Java, J2EE, Struts, Servlets, and JSP's
  • XML technologies including DTD, XSLT, XPATH, XSD and XQuery
61

Enterprise & Data Integration Resume Examples & Samples

  • Professional knowledge related to incumbent's position, team, and department. Requires ability to absorb professional knowledge quickly and develop skills
  • Draw upon professional concepts to collaborate with others to carry out assigned duties. Negotiation is required
  • Recognize job-related problems. Analyze causes using existing techniques or tools, prepare and recommend solution alternatives
  • Works on professional projects; work is often reviewed for developmental purposes. Understand the standard mission of the professional group and vision in own area of competence. May directly influence people in own project. Position may require coordination of activities of less experienced or less knowledgeable team members
  • Accountable for individual or team results
62

Intern, Data Integration Resume Examples & Samples

  • Candidate will be working with Information Warehouse
  • Makes or assists in making oral or written presentations to management. Collaborate with other functional areas on various projects as needed
  • Currently in of pursuit of Bachelor degree in
  • Previous exposure to one of more ETL technologies is
63

Senior Data Integration / Data Modeling Lead Resume Examples & Samples

  • At least 8 years experience with the functional and technical environment and systems
  • At least 8 years experience with ability to evaluate and select of solutions and architecture design
  • At least 5 years experience with leading technical teams or workstreams
  • At least 5 years experience using ETL / Data Integration tools
  • At least 5 years experience in Business Intelligence (BI) full lifecycle engagements
  • At least 3 years experience in Data modeling in non-relational databases
  • At least 3 years experience Big Data architectural concepts
  • At least 10 years experience with the functional and technical environment and systems
64

Data Integration / EDI Quality Analyst Resume Examples & Samples

  • Elicit and define customer specific translation mapping requirements
  • Create, document, and execute in depth test plans including file transmission testing, customer testing, and regression
  • Participate in project meetings and provide expert input for Data Integration Operations
  • 10 or more years of experience in operations/technology project management activities
  • Knowledge of ANSI X12, XML, ISO 20022, and NACHA file formats
  • Ability to develop test schedules, review testing plans, track test issues and report on test results
  • Ability to work as a team leader
65

Manager, Data Integration Services Resume Examples & Samples

  • A strong technical knowledge of principles and practices of information technology, organization, administration and management. The ability to plan, organize and direct the work of technical staff as described is required
  • Strong organizational, leadership, and decision-making skills are required to perform the functions as described. The ability to communicate technical information effectively, both oral and written and the ability to assimilate and understand information in a manner consistent with essential job functions are required
  • The ability to manage activities in conformance with budgetary guidelines and limits is necessary
  • A strong customer service orientation is essential. A demonstrated ability to adapt to the changing demands of business is necessary
  • A basic level of proficiency with business and communications software (preferably Word and common Windows operating systems, and Outlook) is required. General knowledge of Oracle, SQL and TOAD
  • Occasional travel (approximately 10-20%)
66

Specialists Project & Data Integration Resume Examples & Samples

  • Functional knowledge / technical knowledge (incl commercial decision making)
  • Recognized as a subject matter expert in Qlikview development, data modelling and data analytics
  • Broad and comprehensive understanding of concepts and principles within risk and other sources of data such as customer metrics and measurements within BAGL
  • Business Expertise (incl building an effective control environment / working collaboratively)
  • Demonstrates a comprehensive understanding of the larger risk environment and how a holistic view of risk across silos and divisions is critical for optimum business efficiency
  • Working with key stakeholders to create and develop management information that will play a key part in meeting the group’s goals and objectives
  • Driving continuous improvement and innovation (i.e. Problem solving / analytical skills)
  • Aggregate, assimilate and disperse risk information to enable sound and substantiated business decisions
  • Skills - Front Office & Banking
  • Customer Service and Insight
  • Governance & Control
  • Business Analytics
  • Data/System Analysis
  • Project/Programme Management
  • Quality Assurance/Control
  • Six Sigma Exposure
  • Stakeholder Relationship/Management
67

Senior Data Integration Engineer Resume Examples & Samples

  • Formulation of highly detailed DW solutions using Informatica tool set which can be practically implemented
  • Implement Informatica based ETL solution fulfilling stringent performance requirements
  • Develop and coding of Informatica mappings, session, workflows for different stages of ETL
  • Develop UNIX shell scripts
  • Creation of Design & Technical specification documents
  • Integrate Data into Warehouse from various Source systems
  • Tune the performance of mappings and sessions in Informatica and eliminate the bottlenecks
  • Knowledge in design and development of reports using OBIEE
  • Engage in project planning and delivering to commitments
  • Lead a team of ETL Developers
  • Collaborate, define and maintain effective and efficient development processes, including but not limited to: coding standards, design philosophy, testing methodology, usage of design patterns, development and coding tools and procedures
  • Understand integration points and interfaces, and ensure that our next generation technology allows for seamless integration
  • Schedule and Monitor jobs using Tidal
  • Good communication and presentations skills and ability to lead meetings effectively
  • Provide expertise and guidance to cross-functional teams
  • Interact with cross-functional teams to ensure complete delivery of solutions
  • Sets expectations around scope and effort for projects
  • 6+ years’ experience on database concepts including Oracle 11g PL-SQL programming
  • 5+ years’ experience in Unix Shell Scripting
  • 2+ years’ experience in leading a team
68

Data Integration Administrator Resume Examples & Samples

  • Design, implement and perform administration functions for Enterprise data integration environments including Informatica PowerCenter, Master Data Management (MDM), and Informatica Data Quality (IDQ)
  • Determine the impact upon software deployments, operations, and supportability to ensure timely and uninterrupted service for the customer
  • Participate in design sessions with architects and implement the design
  • Monitor domain services and troubleshoot any errors
  • Develop disaster recovery and failover strategies for the data integration environments
  • Manage the Informatica domain and Application Services including PowerCenter and IDQ. Manage and administer the Informatica PowerExchange for source environments
  • Manage user and user group security access to the domain components
  • Manages backup and recovery of the Informatica domain and repository metadata and appropriate shared file directories
  • Test and implement new technical solutions related to Informatica
  • Ensures proper configuration of the Informatica Domain components and proper application of the licensing files to nodes and services
  • Collaborate, coordinate, and communicate across disciplines and departments, including Infrastructure, IT Operations, and ETL development teams
  • Ensure compliance with regulations and requirements
  • Minimum Bachelor’s degree in a related field , or HS Diploma and 4 years of related experience
  • Informatica certification is a plus
  • Experience with ETL design, development, best practices and EDW Architecture
  • Experience integrating LDAP with Informatica for user authentication
  • Experience using Informatica products including Power Center, IDQ, PowerExchange for data sources such as VSAM and Sales Force, and database technology expertise in Oracle, SQL Server
  • Experience working with relational databases and flat files
  • Experience with data modeling, data masking and data archiving
  • Working knowledge of Linux and Microsoft operating systems
  • Knowledge of storage, databases, network and virtual environments
  • Familiarity with Business Intelligence platforms (Cognos, Tableau) or Enterprise Service Bus (IBM) a plus
  • Communication (written, verbal and listening), planning, coordination, organization, collaboration, project management, interpersonal skills
  • Ability to participate in 24X7 on-call rotation in the team
  • Ability to work independently and effectively communicate within the team and other teams
  • Ability to work in a fast-paced and demanding environment
  • Ability to use software, hardware and peripherals related to job responsibilities, including MS Office and software development applications
  • Proficient in word processing, spreadsheets and database applications
  • Proficient in Oracle and Microsoft SQL Server
  • Working knowledge of scripts and task scheduling
  • Working knowledge of Structured Query Language
69

Business Process Consultant Data & Integration Resume Examples & Samples

  • Provide leadership to major data integration and migration efforts as part of transformation programs
  • Governance of the delivery of any data integration and migration plans in Syngenta, excl. R&D
  • Coordinating and facilitating the collaboration of different integration providers across multiple platforms
  • Assessing and reviewing provider statements of work for ETL
  • Assures that integration development best practices. Works with integration architects, data architects, hardware/software engineers, application vendors and managed services to ensure enterprise solutions are reliable, scalable, flexible and low maintenance
  • Ensure industry best practices for ETL design and development are applied
  • Plan and lead ETL development and implementation efforts for teams utilizing various tools
  • Ensure that technical are scalable, aligned with the enterprise architecture and can adapt to changes in business
  • Implement ETL systems that maximize re-usable components/services, collect/share metadata, incorporate audit, reconciliation and exception handling
  • Implement monitoring and measurement of data quality as defined by business rules
  • Ensure adherence to architectural governance standards and practices
  • Develop best practices, standards of excellence, and guidelines for programming teams
  • Assist in the development, documentation and application of best practices and procedures that govern DW implementations and operations
  • Off hour and weekend support may occasionally be required to meet project milestones
  • Year of experience: 10-15
  • SAP, Salesforce, Vendavo, Glovia, Informatica, SAP BODS & IS
  • Demonstrates expertise in integration concepts, practices, and procedures
  • Has technical hands-on experience implementing a cloud ecosystem
  • Has led teams responsible for ETL development
  • Demonstrates extensive application development experience and the judgment to set, plan and implement goals
  • Has strong communication skills and the ability to provide consultation to customers and collaborate internally on complex projects as the top level contributor/specialist
  • Finds creative solutions to complex and diverse business requirements. Reports to the Head of Data & Information
70

Director, Data Integration Services, EAB Resume Examples & Samples

  • Ensure Data Acquisition Team meets division goals set for implementation length and quality
  • Ensure that Data Acquisition staff is adequately trained and performs at the required level
  • Work collectively with others to mitigate risk of implementation timeline delays
  • Communicate team successes and challenges with staff at various levels in the organization
  • Work collaboratively with senior leaders to solve team-wide problems
  • Promote a cohesive team culture
  • Act as an evangelist for the team with both internal and external stakeholders
  • Contribute to career pathing for staff, work force planning and talent identification
  • Provide constructive formal and informal feedback to team members as necessary
  • Design new and improve existing deployment and support processes
  • Troubleshoot technical and non-technical challenges
  • Help resolve escalated client issues
  • Support and lead calls for prospective clients around EAB’s data acquisition methodology and process
  • 7+ years of consulting or related experience, preferably in higher education
  • 2+ years of experience with data analysis
  • 2+ years of experience with SQL for data extraction or report generation
  • Goal oriented
  • Detailed oriented, with a focus on customer success
  • Highly organized with a strong sense of personal accountability
  • Ability to multi-task and handle multiple complex projects simultaneously
  • Willingness to travel 10-20%
  • Fluent in SQL (MS SQL Server, Oracle, PostgreSQL – multiple preferred)
  • Leadership experience with teams of 10+ members
  • Knowledge of technology, including databases and/or web based applications
  • Experience running enterprise software deployments
  • Experience managing challenging client relationships and executive level relationships
  • Knowledge of higher education industry source systems
71

Data Integration & Operations Resume Examples & Samples

  • 4 year college degree required, advanced degree in relevant business or analytic field preferred
  • 6 years minimum hands on experience in digital advertising data, analytics or digital agency
  • Polished business professional with strong communication skills, able to effectively communicate with people from different functional areas and different levels of responsibility
  • Superior written, oral communication and presentation skills with experience communicating effectively with multiple levels of business partners
  • Experience with entire data operations process
  • Experience with data integrations across multiple technology vendors (databases, DMPs, etc.) and multiple ways of ingesting the data
  • Familiarity with extensive range of advertising data sets and their application
  • Demonstrated creative problem solving capabilities and be able to affect legacy process in a positive way
  • Demonstrated experience asking the right questions to explore ideas and choose appropriate techniques for solving any given problem -- Ability to QA data and always question its accuracy
  • Expert in building Excel workbooks and PivotTables
  • Comfortable working in a “startup” environment within a larger company
  • Demonstrated success autonomously managing complex multiple work stream projects that require input from many stakeholders
  • Ability to work effectively in cross-functional teams and influence business partners
  • Self-starter with out-of-the box problem solving skills who can independently drive results
  • Strong time management skills, with the ability to multi-task and keep numerous tasks on track
  • Demonstrated superior attention to detail
72

Manager, Data Integration Resume Examples & Samples

  • Effectively manage a team of approximately 10 - 15 data developers in day to day development tasks including: design reviews, adherence to coding standards, data modeling, ETL development, data analysis, and system integration recommendations
  • Contribute to appropriate communities of practice (a group of similarly skilled developers) to promote, develop, and mature existing and innovative ways to solve technical problems and improve the product development process
  • Coach, guide, and mentor developers working on product teams through direct conversation and engagement with their communities of practice to continually challenge and raise the bar for excellence in software development and leadership
  • Foster innovation in all projects – create a positive working environment that supports and drives innovation
  • Establish partnerships with key technology teams across the company to leverage existing technologies and processes, as well as evangelize best practices
  • Employ agile product development methodologies that accommodate changing business conditions and reduce time to market of solutions. Establish engineering standards and discipline within the team
  • Contribute to key decisions regarding data architecture, data tool design, and project sizing
  • Review designs of the product functionalities and features created by the team, and make recommendations to improve efficiency of the product
  • Establish career development plans and company focused quarterly goals for resources to help them expand their skill set and contributions to the company
  • Partner with DBA, operations and system engineering team to monitor performance of data platforms and ensure optimal utilization of the Data Platform investments
  • Help troubleshoot and guide developers when facing technical roadblocks or obstacles in their development tasks
  • Mentor and influence others through example
  • Demonstrate excellent analytical, critical thinking and problem solving skills
  • Demonstrate the ability to learn and understand business processes and relationship of systems and applications used to accomplish those processes
  • Ability to self-motivate, set goals, prioritizes and meet deadlines
  • Ability to develop and maintain relationships with key business partners by building personal credibility and trust
  • Ability to partner with internal and external peer groups to design and implement solutions
  • Maintain courteous and professional working relationships with employees at all levels of the organization
  • Ability to manage technical team members reporting into multiple product focused initiatives
  • Excellent active listening and verbal communication skills, strong business writing ability, flexible and adaptable attitude, can conform to shifting priorities, demands, and timelines, ability to elicit cooperation from a wide variety of sources, including other divisions, and ability to discuss technical issues to non-technical audience
  • Excellent oral and written communication skills including the ability to communicate effectively with both technical and non-technical stakeholders
  • Strategic thinker with ability to understand business strategy, provide consultative business analysis, and leverage technical skills to create insightful, effective BI solution
  • Proven ability to meet tight deadlines, multi-task, and prioritize workload
  • Ability to work in cross-functional teams and communicate with colleagues in both business and technical roles
  • Ability to prioritize and manage multiple highly valued projects simultaneously and drive them to completion
  • Bachelor's degree or combination of relevant education and experience
  • Excellent interpersonal skills, ability to work with diverse personality types
  • Proven ability to work independently with limited supervision and with other department personnel
  • Must have solid verbal and written communication, organization, and time management skills
  • Must be "self-motivated" as well as creative and efficient in proposing solutions to complex, time-critical problems
  • 5+ years of experience in leading data warehouse/data integration teams
  • 5+ years’ experience working with Teradata, Hadoop, Oracle or other database platform
  • 3+ years of experience with ETL development (DataStage experience preferred but not required)
  • Experience in NoSQL databases such as Couchbase preferred
  • Experience working with Cloud infrastructure preferred
73

IT Manager, Data Integration & Analytics Resume Examples & Samples

  • Demonstrated career progression in technical depth and breadth, and project complexity. Ability to quickly become proficient in new technologies
  • Undergraduate degree or equivalent work experience in information systems, computer science, or a related technical discipline
  • Technical orientation balanced by project management discipline. Able to supervise internal programmers, analysts, consultants, non-technical business resources and external vendor resources
  • Demonstrated track record managing technical projects and issues
  • Experience working for a national retailer with multiple stores
  • Demonstrated ability to manage staff remotely, across multiple time zones
  • Strong analytical, problem solving, and debugging skills
  • Demonstrated ability to execute basic financial analysis, such as ROI
  • Ability to effectively communicate at all levels of the organization
  • 6-8 years of experience in the IT field or equivalent work experience
  • Bachelor’s Degree with a concentration in Business, Economics or Computer science, or equivalent work experience
  • Ability to provide guidance to associates according to established policies and leadership guidance
  • Ability to follow processes and operational policies in selecting methods and techniques for obtaining solutions
  • Ability to gain cooperation of direct reports, supervisors and peer groups and lead a cooperative effort among members of a projects team
  • Good coaching, leadership and people development skills
  • In-depth understanding and knowledge of Object oriented and SOA concepts, integration patterns, J2EE, processes and general trends in the industry
  • In-depth understanding of development framework such as Spring hibernate and API toolset - Mulesoft
  • Experience implementing Oracle fusion middleware stack (11g/12c) – Oracle BPEL, Mediator,Oracle Data integrator (ODI) , Oracle B2B , Oracle business activity monitoring (BAM), Oracle Service Bus ( OSB)
  • Experience in design, development and lead application integration solutions using oracle middleware toolset
  • In-depth understanding of B2B protocols – application , message, communication protocols
  • Strong experience in Java, XML technologies, JCA adapters, SQL, PL/Sql, Unix/Linux scripting
  • Experience with application servers like WebLogic, tomcat, apache, OHS etc.,
  • Experience with file transfer applications like MFT, RTI (Stores file transfer)
  • Some understanding of Hadoop, Big data and cloud concepts
74

Spatial Data Integration Engineer Resume Examples & Samples

  • Previous experience aggregating and integrating address datasets for multiple countries and languages into location-based products and services
  • Scripting and data processing experience relevant to address content, including use and development of ETL systems in Python, Java and SQL languages
  • Experience modeling address datasets, and understanding of regional and linguistic differences
  • Experience with version control software, including git and svn
  • Expertise leveraging open-source, commercial, and custom software to perform data visualization and analysis to drive product improvement and prioritization
  • Professional writing and presentation skills
75

Senior Data Integration Engineer Resume Examples & Samples

  • Design and engineer across multiple platform types. Example- DB2, UDB, SOL Server, and their subsystems for Oracle, Teradata, Bl Tools, ETL, CDC and Unix application servers
  • Assess technical risks and keeps team apprised of strategy to provide mitigations
  • Develops integration solutions without affecting core system infrastructure
  • Performs debugging, troubleshooting, modifications and unit testing of integration solutions
  • Support, monitor, and execute production application jobs and processes
  • Develop new documentation, participate in the development of departmental technical procedures and design user support guides
  • Assure quality, security and compliance requirement are met for supported area and oversees updating and testing of the business continuation plan
  • Ensure documentation follows standardized procedures and appropriate approval hierarchies
  • 4 year degree (Computer Science, Information Systems or relational functional field)
  • 7+ years of experience in specific Domain, System and Infrastructures, sub systems and data integration
  • 5+ years acting as a lead Developer for major systems and their subsystems for complex data integration solutions and/or EIM initiatives. Experience in authoring quality deliverables for project(s)
  • Strong knowledge of Agile Software development methodology
  • Interpersonal skills with the ability to work effectively in a cross functional team
  • Self-starter with an ability to learn beyond formal training and a strong aptitude for delivering quality products
76

Data Integration Administrator Resume Examples & Samples

  • Planning, design, and enforcement of data integration (Enterprise Service Bus) operational best practices within an enterprise centre of excellence
  • Responsible for the promotion of code from development to production environments
  • Monitoring and supporting real-time and batch file transfers within agreed service levels
  • Monitor application performance, apply application software patches
  • Ownership of all documentation that supports data integration activities, including an operational runbook that may be used by teams that manage services
  • Perform general troubleshooting on all middle-tier related issues and document the solution steps for reusability
  • Responsible for the testing and deployment of software patches and upgrades of computing resources that support data integration
  • Familiar with Electronic Data Interchange (EDI) concepts and standards
  • Experience in creating deployment, test scripts and regression testing
  • Experience in managing webMethods suite of application
  • Experience in setting up transmission protocols (http/s, ftp/s, sftp, JMS, LDAP, DNS, SOAP, REST,WSDL)
  • Experience in with security concepts and encryption methods
  • Understanding of concepts around the designing, coding, maintenance and troubleshooting of data integration services
  • Familiar with Jira or other documentation and software development tools
  • Knowledge of data networking and other infrastructure concepts including firewalls, network ports, and proxies
  • Knowledge of a retail or wholesale business models and the operations that support these businesses
  • Experience with data integration activities that support ERP systems, including SAP and Microsoft Dynamics AX
77

Data Integration Co-op Resume Examples & Samples

  • Support the Data Services team in delivering on projects, at times acting as the primary developer. Supporting existing data movement jobs and working on the development of new code
  • Work closely with Business Analysts using technical specifications to create/modify data load processes
  • Deliver on projects, both official and unofficial, and remain ready to contribute whenever help is needed
  • Engage in testing of data load processes, following all appropriate procedures and best practices
  • Maintain documentation and write new procedures when needed
  • Pursuing a Bachelor's degree in a computer related field
  • Aptitude for and comfort with technology is important
  • Exposure to relational database technology and some SQL experience
  • Extroverted personality a plus, as interaction with internal clients as well as a wide range of personalities and skill sets is a part of the job on a daily basis
  • Ability to take initiative, to utilize resources, and to communicate effectively. Strong written skills and an ability to simultaneously manage working on multiple projects of varying size and complexity
  • Proven analytical skills and demonstrated ability to take initiative and help with developing creative solutions to meet business needs
  • Experience working in a team, preferably on projects as well as in a support role
  • Strong computer skills in Microsoft Office Tools: Word and Excel. Knowledge of Visio a plus
78

Data Integration Resume Examples & Samples

  • Research, evaluate, identify alternative approaches, recommend, design and code efficient and effective solutions for challenging problems ranging from small to large work efforts for low to high complexity problems
  • Develop automated routines capable of replacing the existing manual data update process
  • Develop and document best practices for ETL related operations and processes
  • Demonstrate collaborative skills working within
  • Excellent communication skills including oral, written and presentation
  • Partner with other competency leads / developers and support project planning, technical design, development and solution deployment functions
  • Identify opportunities in business processes, system capabilities and delivery methodologies for continuous improvement as applicable
  • Define and implement ETL Extract, Transform and Load for various data sources
  • Define and implement relational structures, dimensional data marts/models and cubes for the needs of analytics, reporting and application usage
  • Advocate for ETL and data integration processes with technical staff
  • Train and support project management and support staff as needed
  • Work collaboratively in cross-functional team
  • BA/BS Computer Science, Information Systems
  • Must have at least 3 years of data analysis, ETL, data management, and development experience
  • Strong background in using ETL tools; specifically experienced in Pentaho Kettle/PDI
  • Understanding of clustering and scaling ETL solutions written in Pentaho Kettle/PDI
  • Strong background working with various RDBMS's Data Sources like MySQL, DB2, Unstructured Data, multiple flat file formats, various API's etc
  • Expertise with scripting languages such as Perl, Python, Bash a big plus
  • Working experience with Big Data technologies and its integration with Pentaho PDI (Hadoop HDFS, Spark, Hive, HBase)
  • Hands-on experience working with Pentaho or other interactive BI tools like Tableau
  • Experience in working with Mainframe environments is a plus
79

IT Technical Manager, Data & Integration Resume Examples & Samples

  • Experience in data migration, writing queries to understand data and relationships, creating technical specifications from ETL mapping documents,
  • Experience with and deep knowledge of systems and the integrations between technologies,
  • Well developed team leadership skills and communication skills, with proven experience of leading small development team onshore and offshore through the medium of English (both verbal and written),
  • Experience with ETL Concepts, tools and platforms
  • Deep knowledge of Informatica toolset and Oracle Operational Data Store including practical experience of solution design and development with this toolset,
  • Experience working in multi-vendor engagement, multiple stakeholder environment,
  • Experience in managing development and test teams across multiple geographies,
  • CRM experience (preferably Veeva, SFDC or Siebel) and Web Service knowledge and experience
  • Managing Development Team (across multiple Service-providers), Build Planning and Tracking,
  • Design of the Requirements (both high level and detailed design),
  • Coordination with the other areas of the Application and planning the smooth Interfacing between these systems and the current built application,
  • Requirement Elucidation, Reviews with end-users/process owners, Analysis and Impact Assessment,
  • Ensuring the technical application delivery is fully compliant with GSK IT and Regulatory standards
  • Working with service team to analyze complex production problems and designing solutions to address issues,
  • Providing consultation on technical matters to IT Groups, Programmes, Projects and Business team
80

Senior Data Integration Engineer Resume Examples & Samples

  • 5+ years of experience architecting and developing solutions in enterprise data warehouse environments
  • Knowledge of data warehouse and BI architecture, methodologies, and best practices
  • Hands-on experience with ETL and data ingestion tools
  • Demonstrated proficiency with one or more major data integration platform
  • Strong business acumen with proven ability to understand and anticipate business needs and provide optimal solutions
  • Demonstrated track record of delivering projects in scope, on-time, and within budget
  • Strong accountability, teamwork, and initiative
  • Experience responding to production support requests and troubleshoot issues
  • BS in Information Technology or other related degree
81

Senior Analyst, Data Integration Resume Examples & Samples

  • Prepare comprehensive documentation about data and its usage for the use of both business and technical teams
  • Conduct various analysis for data integrity and data lineage including maintaining key metrics and performance benchmarks for data hygiene
  • Provide support for ad-hoc data extraction, manipulation and analysis as required time to time
  • Create and maintain relationships with teams across the organization for updating the ever changing business logic and rules
  • Maintain and optimize advanced SAS and SQL coding as required
  • Provide Quality Assurance and UAT support during the implementation of new data management projects and operational processes
  • Maintain and disseminate reporting to key stakeholders based on ongoing data quality monitoring processes
  • Support the Manager of Data Governance as required
  • 3+ years of experience with SAS, relational databases and SQL programming for data discovery, data preparation, reporting and analysis
  • 3+ years of experience working with business teams in implementing customer marketing strategies
  • A curious mind and data aficionado. Strong analytical skills and attention to detail
  • Ability to identify key pointers that indicate potential conflicts in information gathered on scrutinized data and provide viable solutions. A problem solver
  • Experience with Business Intelligence, Reporting and Visualization tools, Tableau experience is strongly preferred and advanced Power Point Skills
  • Must be self-motivated and able to work both independently and with others
  • Excellent communication (written and oral), presentation and storytelling skills
  • Strong ability to collaborate with cross functional teams, working with internal business clients
  • Strong skills in time management and multitasking
82

Senior Analyst, Data Integration Resume Examples & Samples

  • Software Analysis, Estimation, Solution Design, and Development Oversight
  • Participate in Studying, Developing and Implementing COE Best Practices & Standards
  • Coaching and Mentoring
  • Prototype and Proof of Concept Development
  • Conduct Design Reviews
  • Minimum of 8 years of IT experience in an application development environment
  • Experience leading multi-site and/or off-shore development teams
  • Experience leading medium scale, enterprise wide projects
  • Experience with various software estimation techniques
  • 3+ years of experience in performing high and low level project analysis and design
  • Experience with minimum of 2 major RCI release cycles
  • 5+ years of experience in designing/leading design and execution of bulk and real time data integration solutions for OLTP and OLAP environment
  • BS in Computer Science/Information Systems or Engineering
83

Senior Data Integration Engineer Resume Examples & Samples

  • Experience with SQL (T-SQL stored Procedures, views and other queries)
  • Experience with UNIX / Linux commands preferred
  • Experience with MMIS (Materials Management Information Systems) such as Lawson, PeopleSoft etc… is preferred
  • 5 years of experience in Data Interface or Integration required; 7 years preferred
84

Head of Enterprise Data Lake & Data Integration Resume Examples & Samples

  • As a member of the Information and Management leadership team, drive the enterprise data enablement agenda
  • Partner with the head of IT for Commercial, R&D, GMS and Enabling functions and the head of information and data architecture to define the information and data strategy for each business function
  • Partner with the head of EA and Enterprise platforms to develop data integration strategies in tandem with the enterprise platform and point solution architecture
  • Accountable for the enterprise roadmap for data hubs and data warehouses
  • Accountable for the enterprise roadmap for data integrations
  • Manages a team of 20+ employees, 5 outsourced partner teams with a combined strength of >150
  • Lead the team responsible for build and run of data hubs and data warehouses for R&D, GMS and Enabling functions
  • Lead the team responsible for build and run of enterprise data integrations
  • Accountable for vendor management of multiple IT support partners with a support network spread worldwide – US, EU markets, Japan etc. and offshore delivery hubs in India
  • 7+ years’ experience leading build and run worldwide IT teams focused on data warehouse, reporting and analytic platforms
  • 15+ years’ experience in information technology designing, implementing, and/or supporting Analytic Platforms (Data Warehouse/Hub, ETL/Transformations, and/or Business Intelligence) related activities satisfying complex information needs
  • 10+ years’ experience designing, implementing and supporting data warehouse solutions focused on one or more of R&D, Sales and Marketing, Manufacturing, HR and Finance domains
  • 7+ years’ experience managing worldwide outsourced delivery partners
  • Prior experience in leading analytic and reporting support teams
  • Prior experience in healthcare or related industry
  • Prior experience in leading enterprise analytic change management initiatives
  • Prior experience in handling data management in US, Europe and Asia Pacific
  • Master’s degree in Business Administration or Computer science or equivalent master’s degree preferred
  • Bachelor’s degree in Computer Science, Information Systems, Computer Engineering or equivalent experience is required
85

Graduate Data Integration Intern, Fall Resume Examples & Samples

  • Available to work full-time hours from June 2017 through early January 2018
  • Experience with Python, R, or Matlab
  • Basic understanding of SQL
  • Computer Science, Engineering, or Mathematics background
  • Excellent oral/written communication skills to technical and non-technical audiences
  • Ability to adapt in a rapidly changing business environment and manage multiple competing priorities
  • Graduate student working towards (or recently graduated with) a Master’s degree in Computer Science, Engineering, Mathematics or a related quantitative field
86

Manager of Data Integration Resume Examples & Samples

  • Execute, under the guidance of the Director of Data Integration Engineering, highly professional data analysis and PoC exercises to enable development teams
  • Lead establishment of data analysis and profiling standards
  • Lead the development and evolution of the Enterprise Data Model and Canonical Message Model in collaboration with Architecture
  • Collaborate with Architecture team in the coordination and implementation of Information Architecture initiatives
  • Oversee proof-of-technology and tool evaluation efforts to ensure that the organization continues to responsibly innovate and improve technology capabilities
  • Guide adoption of new computational methods and models
  • Participate in research and development activities into centralized, Enterprise scale, advanced analytics and data science algorithms
  • Create and execute a holistic staffing and training model within scope of responsibilities
  • Ensure implementation of corporate data governance initiatives and establish internal standards to ensure consistency
  • Educate internal TI teams in the utilization of Data Services and Big Data capabilities
  • Adhere to, and participate in the development of, standards and best practices for the implementation and utilization of data assets
  • Partner with business stakeholders to establish detailed plans for achieving tactical business objectives and create strong communication practices to establish trusted relationships
  • Participate in IT management duties such as: budget activities, process standards (development, improvement, and governance), program and project management, enterprise application portfolio management, vendor management, strategic sourcing, workforce planning, information security, and strategic planning
  • Participates in the creation and execution of the Business Intelligence strategy
  • Minimum of 5 years of experience leading teams and projects
  • Desire for achieving excellence in customer satisfaction, process efficiency, product quality, and reliability
  • Excellent oral and written interpersonal communication skills
  • Thrive on solving technical challenges with elegant sustainable solutions
  • Committed to continuous improvement and innovation in productivity and reliability of software and systems
  • Minimum of 10 years of experience in Information Technology roles
  • Minimum of 5 years of experience with Business Intelligence
  • Minimum of 3 years of experience working in data architecture related roles
  • Detailed understanding of logical and physical data modeling
  • Strong knowledge of SQL development practices
  • Strong understanding of systems and applications architecture processes, design patterns, and standards
  • Experience with agile development methodologies and strong knowledge of all phases of system development life cycle
  • Strong understanding of and experience in systems integration
  • Knowledge of Supply Chain and Healthcare, disciplines and standards is a strong plus
87

Smart Data Integration Resume Examples & Samples

  • Very good Master's or Bachelor's degree in Computer Science or related fields with
  • 0 -2 years of professional experience
  • A solid foundation in computer science with strong competencies in data structure, algorithms, and software design
  • Excellent Java or C++ skill
  • Basic knowledge of scripting language (for example in Python, server side Java script, SQL)
  • Willingness to take responsibility, drive new developments, and work creatively on challenging and groundbreaking development tasks in accordance with the highest technical standards, plus a high level of commitment, team-spirit, flexibility, and initiative
  • Knowledge in big data
  • Knowledge in cloud scale distributed systems
  • Knowledge in database internals and query optimizations
  • Knowledge in No SQL databases for processing high volume data
  • Knowledge in design patterns and object oriented programming
  • Experience in defining APIs on any level, defining web services
  • Working knowledge in REST/oData/JSon
88

Director Data Integration Resume Examples & Samples

  • Provides strategic plan and executable roadmap for the development/maintenance of University data models and data marts
  • Develops and maintains SDLC across the production, development, and QA reporting environments to ensure data integrity and the proper division of duties for updates and modifications to tables within the University’s databases
  • Provides leadership, mentoring, coaching, and career development planning for team members. Develops the team's skills through planned education and training, using internal and external resources. Prioritizes team projects and timelines and engages University leadership as needed. Utilize cross-training, knowledge sharing, and process documentation to reduce single-person dependence and enable any team member to manage the processes
  • Defines and implements standards and best practices as they relate to data architecture
  • Defines the deployment and migration processes and schedules for the development, QA, and production environments
  • Oversees documentation of systems, data structures, and processes, including data dictionaries, entity relationship diagrams, and business continuity/disaster recovery plans
  • Ensures data quality standards through checkpoints, monitoring processes, and timely communication
  • Aids direct reports in the creation of complex SSIS packages to ETL data from source systems, including advanced debugging/troubleshooting and advanced tuning for increased efficiency
  • Support and monitor the health of the reporting/database environments including managing risks/outages
  • Collaborates with other departments with the goal of leveraging University assets and reducing redundancy and other inefficiencies, specifically in the Business Intelligence space
  • Ensures data replication, transformation, and transmission processes adhere to strict University security protocols, SOX compliance where applicable, and PII security requirements
  • Bachelor’s degree in business, computer science, or related field required
  • 5+ years in personnel management/leadership capacity
  • 7+ years of experience and progressive responsibility in providing data integration solutions
  • Extensive experience in Data Modeling, Data Architecture Design, OLTP and OLAP database modeling, multi-dimensional modeling/data mart design
  • Extensive knowledge of data warehousing and data integration practices and technologies
  • Progressive knowledge of sever and database administration (security, backup & recovery, replication, clustering)
  • Working knowledge of T-SQL, PL/SQL, SSRS, SSIS, and SSAS, MDX, Azure, Hadoop, SAS
  • Knowledge of applicable business systems and industry requirements
  • Knowledge in business intelligence best practices and methods
  • Demonstrated understanding of and ability to execute business operations and strategy
  • Ability to effectively communicate highly complex and/or technical information to others in a non-technical fashion
  • Ability to plan and direct large projects and communicate plans to leadership with business justification
89

Senior Solution Consultant, Data Integration Resume Examples & Samples

  • Experience in software application development
  • Experience with Data Management (Extracting, Transforming, Loading)
  • Experience in technical lead role
  • Excellent verbal, written communication skills
  • SAS programing experience
  • Experience with Java and Java Script
  • Advanced report design and build experience
90

Supervisor, Data Integration Services Resume Examples & Samples

  • Acts as a third primary tier of support for escalated issues and works to resolve these issues as expeditiously as possible. This includes identifying, researching and correcting issues. Resolution also may entail directing Product Support employee tasks, and/or interacting with other internal departments, customers, employers, etc. to gather additional information for analysis
  • Works cross-functionally with other departments to address customer or business issues and resolve errors and/or issues in a timely manner. Serves as an example to the Product Support team for collaboration and consistent customer focus
  • Incumbents may participate in or work on special projects as assigned
91

Director, IT Data Integration Resume Examples & Samples

  • Identify staffing requirements, develop justification and propose organization structure to support initiatives, utilizing external sources to augment internal capabilities as required, this includes managing on-shore as well as off-shore resources
  • Review and approval of vendor SOW’s for project data integration efforts
  • Interface with business clients, and other IT organizations to analyze business and data integration requirements and ensure requirements are incorporated into integration solution designs
  • Lead all aspects of integration design, both creating and documenting detailed designs and technical specifications as well as reviewing and approving designs if done by contracted partners
  • Accountable for overall design quality, project deliverables, testing, ongoing continuous improvement and production support
  • Assists with preparing test plans, test data, reviews, and ensuring testing is executed according to plan
  • Collaborate with Infrastructure teams for capacity planning / performance optimization
  • Manage Data Integration tool(s) vendor relationships, monitor tool strategy, improvements and upgrades and determine applicability for Celgene and provide recommendations to management regarding upgrade strategies
  • Advanced people management skills, demonstrating the ability to lead, mentor, and develop associates; including the ability to work effectively with vendors and third party system integrators
  • Advanced skills in customer relationship management and change management and the ability to work effectively in cross-functional teams
  • Bachelor’s degree in computer science, information systems, engineering or a similar technical discipline
  • 8+ years direct experience with at least one leading Data Integration tool suite and extensive knowledge and experience in defining Data Integration strategies, practices and standards and implementing Data Integration services
92

Data Integration Team Lead Resume Examples & Samples

  • Active TS/SCI with polygraph clearance
  • NoSQL database experience
  • Broad technical and architectural acumen with the ability to apply to enterprise scale solutions
  • Ability to work effectively with skilled individuals in a team environment
93

Systems Engineering Data Integration Intern Resume Examples & Samples

  • Experience performing technical integration while working with a variety of engineering disciplines is expected
  • Some knowledge of data systems integration and the tools and systems used for the integration of data and engineering datasets is required
  • Knowledge and/or experience using computing tools (i.e. MATLAB & Simulink), system optimization tools, physical modeling tools, and/or experience with data coding systems is desired
  • Critical thinking, effective communications, and good problem solving skills are required
  • An understanding of general systems engineering and physics based mathematical modeling tools is desired
  • Experience with web development and/or with project and systems engineering management is desirable
  • Excellent technical writing and presentation skills are required
  • Proficiency with MS Office Suite (Word, Excel, PowerPoint, etc.) is expected
94

Manager, Data Integration Services Resume Examples & Samples

  • Manages and oversees activities to ensure internal client support functions and relations are delivered in a manner that meets customer service standards and Service Level Agreements. This includes oversight for data set-up and implementations, ongoing monitoring and analysis of incoming and outgoing data files to ensure data integrity, and effective technical support and issue resolution provided to clients. Takes action to redirect activities or resources when service and/or performance levels are unacceptable
  • Develops and implements Service level Agreements (SLAs) and manages the provision of product support to ensure that performance meets service standards as defined in SLAs
  • Establishes written policies and procedures to facilitate integrity and accuracy of incoming and outgoing data
  • Collaborates with the Product Engineering Department to create and maintain a high degree of quality assurance that feature functionality enables data integrity
  • Serves as a focal point for technology and business units and clients with regard to technical product support issues. Reviews departmental requests regarding support and makes recommendations for resolution. This includes evaluating technology and making recommendations to ensure client satisfaction and data integrity
  • Plans and manages the activities of Data Analysts and Engineering staff, ensuring that staff receives the appropriate training, orientation, and resources necessary to analysis, troubleshooting and issue resolution for data integrity activities. Evaluates progress and results regarding the unit’s activities and goal attainment and takes action to redirect activities where necessary
  • May assist IT leadership with support and client issues
  • Participates in Product Engineering meetings to provide input for future enhancements/releases
95

Data Integration Senior Associate Resume Examples & Samples

  • Data engineering and integration
  • Data and information governance and management
  • Data protection and information risk management; and,
  • Data lifecycle management
  • Documenting functional and technical requirements that reflect identified business issues or problems to be solved
  • Developing project plans and templates, including the identification of project phases
  • Analyzing project schedules and performing project plan maintenance to incorporate updates and changes to the master project plan
  • Preparing reports and presentations at the project and executive levels
  • Analyzing projects to track issues, risks, dependencies, milestones, cost and progress against agreed plans and reviewing project documentation for accuracy
  • Implementing data integration and data management solutions with a specialized focus on automating and bringing workflows to production
  • Overseeing test planning and quality management activities in data management workflow cycles
  • Translating data models and architecture design into code development approach and at times develops the code
  • Proven specialization in SQL database management and enterprise ETL tools including Informatica PowerCenter; and,
  • Staying abreast of emerging trends and relevant technologies, as well as seeking opportunities to implement new ideas
96

Senior Data Integration Engineer Resume Examples & Samples

  • Proven database and report/query development experience (T-SQL stored procedures, views, and other queries) in a small, fast-paced, growing environment
  • Proven experience in data interfacing and transformation technologies
  • Demonstrable ‘must-have’ experience with the following technologies: MS SQL Server and Windows based operating systems
  • Preferred-ERP and/or financial data conversion/standardization, Hospital Supply Chain Consulting, Hospital Materials Management, Information Technology, Database Architecture, SQL/Data Integration mastery
  • Experience with (or ability to quickly learn) data interfacing technologies such as SQL Server DTS, DataJunction/ DataIntegrator, and HL7
  • 4 years of experience in Business or Healthcare Data Environments; 6 years preferred
97

Senior Data Integration Engineer Resume Examples & Samples

  • Produce a high performance integration environment that runs at the core of Marketing’s technology ecosystem
  • Direct experience with developing web services messaging and business logic layer (SOAP and RESTful) and familiarity with XML, WSDLs, XSLT, and JSON
  • Excellent debugging and troubleshooting skills
98

Director, Data Integration Services Resume Examples & Samples

  • Provides key technical support and leadership in the assessment of complex data and system issues. Makes recommendations to improve effectiveness and efficiency where appropriate
  • Fully accountable for setting department goals in accordance with overall company objectives. Ensures operational performance of the department is monitored and assessed providing regular progress updates to Senior Leadership
  • Conducts and/or participates in client interaction along with other business partners in order to provide technical assistance for data or system issues
  • Defines and implements metrics and dashboards to provide visibility to the performance of data
  • Maintains an appropriate level of technical currency and remains abreast of current trends and issues to proactively support the organizations objectives
  • Promotes cross departmental collaboration with client account management, implementation and Relationship management and Client Implementation Solutions (CIS)
  • Facilitate growth within the business by improving staff productivity
  • Provides strategic oversight to the department ensuring best practices and efficiencies are maintained
  • Responsibility for development/adherence to budget for team
  • Manages and carries out the personnel actions for a team that includes but not limited to hiring, firing, coaching, and counseling and employee evaluations
99

BIG Data Integration Engineer Resume Examples & Samples

  • Integration, Packaging, Testing and Acceptance of Applications, Services and
  • Previous software development; packaging and versioning of software
  • Linux systems (system and network parameters)
  • Network concepts: switching, load balancing, routing, firewalls, IPs, DNS
  • Knowledge of virtualization technologies
100

Manager, Data Integration & Analytics Resume Examples & Samples

  • Middleware Integration & ETL Solutions
  • BI Analytics Tools & Technologies
  • Reporting and Analytics Solutions
  • Data Governance
  • Collaborates and consults with cross functional team members, data stewards and users to offer an integrated data platform for enabling reporting and analytics
  • Executes through appropriate coordination, communication and relationship management to deliver high value solutions
  • Leads the continuous enhancement and support of the data services platforms
  • Supervises, mentors, coaches and develops staff to achieve high level of performance and collaboration, while championing excellence in service
  • Provide thought leadership across many aspects of our integration and analytics platforms in current and emerging technologies
  • Manage and coordinate activities of technical resources responsible for the design of traditional and cloud products and services as well as oversight of the vendors and service providers
  • Provide secure, highly reliable and performing data solutions that enable simple and effective operation
  • Drive the adoption of standard toolsets to reduce complexity and support goals for increasing automation, managing lifecycle of technology and ensuring capacity needs are met
  • Works with IT colleagues across the organization to ensure that technical standards, procedures, and policies are defined, understood, and adhered to
  • Ensure delivery of architecture and engineering of high performance and high availability data solutions for the organization
  • Develop and execute on long range technology strategy roadmaps
  • Continuously assess current technology footprint and market offerings, drive technology decisions, lead PoCs of new solutions/capabilities
  • Responsible for defining, prioritizing, and supporting key initiatives for operational items
  • Ensure the solutions the team designs and delivers are meeting defined business requirements and will stand the test of time from an operational excellence perspective
  • Work closely with IT Security to ensure the solutions we’re designing and delivering meet data security and compliance requirements
  • Provide regular communication to peers, IT leadership and Business leadership on areas for improvement, progress, milestones, and areas of success
  • Ensure documentation and processes are well defined
101

Data Integration Technical Lead Resume Examples & Samples

  • Review, understand, and apply business requirements to guide the creation of a comprehensive, coherent, and effective overall data architecture
  • Prepare and propose standards and templates for documenting data definitions
  • Play multiple roles including but not limited to Data Architect, Data Integration Architect, and Data Modeler (EDW, AX and other relational databases)
  • Work as a Data and Integration Technical Lead with mixed onsite/onshore/offshore project delivery teams
  • Lead and collaborate in the creation, maintenance and distribution of data models, mentoring staff in the skills and techniques required
  • Ability to participate in design sessions, review options and provide recommendations while communicating the benefits, risks, and constraints to both the business and IT stakeholders
  • Should perform oversight architecture for development activity
  • Expertise in SQL, Data Analysis and data management areas like Data modeling, Database Design, Operational Data Stores (ODS), MDM, Data Integration, Data Quality Tools, Data Lineage and Data Governance
  • 10+ years hands on Architectural experience in Design and Deployment of Data Management solutions including normalized (3rd NF) Dimensional modeling and star schemas
  • 10+ years of experience in Enterprise Data Warehouse architecture, data modeling and development
  • Experience on Hadoop (Apache/Cloudera/Hortonworks) and/or other Map Reduce Platforms
  • Strong data integration skills that allow you to combine relevant related data from various sources into a single consistent view
  • Strong experience with commercial ETL platforms and in-depth knowledge data transformation layer using Talend, Informatica and similar ETL platform
  • Strong experience with SQL and database procedural languages such as PLSQL and T-SQL
  • Should design, develop ETL and data architecture solutions based on the requirements
  • Strong knowledge of Data Governance, Data Quality, Data Lifecycle Management and Privacy Principles
  • Proven organizational, interpersonal, analytical and problem solving skills
  • Excellent relationship building skills; ability to interface with a variety of stakeholders globally and cross functionally
  • Proven ability to work in multiple environments and be able to prioritize and multi-task with a consistent track record of meeting deadlines while optimizing client satisfaction, on time and within budget
  • Recent relevant experience involving a complex, multiple application environment with both traditional data warehouse and big data
  • Experience on Hive, Pig, Sqoop, Flume and/or Mahout
  • Experience on NO-SQL – HBase, Cassandra, MongoDB
  • Experience on Spark, Storm, Kafka
  • Project management skills
102

Software Developer Data Integration Resume Examples & Samples

  • 2 Skills, Experience & Responsibilities
  • Skills Requirement
  • Experience in building and maintain web services with Ariba and/or SAP
  • Experience with using SAP Data Services or other Extract-Transform-Load (ETL) tools
  • Experience with using APIs, EDI, XML/cXML
  • Experience in a high availability/Internet facing environment
  • Experience with designing, building, testing and deploying interfaces in multi-tier environments
  • Ability to work and communicate effectively with all levels of co-workers, clients, and other external contacts
  • Ability to perform in a multi-tasking, team-oriented environment and contribute independently
  • Should have good interpersonal skill and must be capable of handling the team and understanding the client requirements
  • Experience Requirement
  • 5 years of hands-on ETL development experience
  • 5 years general Database administration tasks such as developing Microsoft SQL Server database objects, database server implementations, code deployments, backups, creation of DB authentication principals, system and query performance tuning
  • 5 years database architecture and schema design. Design and architect the centralized databases to enhance the efficiency and optimize the workflow
  • Education Requirement: BS in Computer Science or BA in Computer Information Systems
  • Maintain/support third party ETL tools for systems integration
  • Build/maintain/support web services for integration
  • Perform detailed analysis of business processes to define Architecture requirements
  • May use SQL Server tools, including SQL Server Management Studio, SQL Server Integration Services (SSIS) packages
  • Understand systems analysis on database, and resolves performance, capacity, replication, error-handling, and archiving issues as necessary
  • Performance Expectations
  • Define requirements and develop a plan for integration initiatives on the Roadmap
  • Able to learn and understand the existing integration and take ownership to maintain and support changes within the first month
  • Able to work within Procurement Team and other Agencies/Departments to understand the business process and integration requirements
  • Must be a self-starter and be able to work independently and/or in collaboration with other team members
  • Monitoring and Reporting Expectations
  • There will be weekly updates and status reports – to be reviewed and mutually agreed upon
103

Data Integration Software Developer Resume Examples & Samples

  • Design and implementation of secure, robust and maintainable solutions
  • Transform requirements from stakeholders into generic software solutions
  • Facilitate development tasks which are carried out by external partners
  • Coordinate development tasks with internal and external colleagues
  • As a person you have a high level of drive and are able to challenge the existing norms while maintaining flow. You also have the ability to balance your work between short term / urgent and longer term / not urgent
  • Are driven by results and can get things done
  • Complete work in a timely manner and meet deadlines
  • Contribute to building a positive team spirit and treat others with respect
  • Foster collaboration towards a common vision and shared goals
  • C#/.NET, C++ etc
  • MS Windows server, 24/7 service concepts
  • Design patterns
  • Continues integration solutions with eg. Git, Jenkins, Atlassian suite
  • Basic knowledge about MS SQL Server
  • Nice to know: Industrial communication protocols OPC, Modbus etc
  • Nice to know: Message bus technologies (Redis, Kafka)
  • Fluent English (Writing and oral)
  • Nice to know: Danish
104

CSA Data Integration Engineer Resume Examples & Samples

  • The Splunk Engineer will be part of a CISO Engineering team that is responsible for maintaining and improving a large, existing Multi-Site clustered Splunk instance in an Enterprise environment at PB (Multi-TB/day) scale. The Engineer’s key area of responsibility is to prepare the onboarding of new data sources
  • Plan and hold workshops with data source owners to gain a deep understanding of the data source setup, the data source organization, and the data to be onboarded
  • Write extensive documentation (interface specification document)
  • Negotiate Interface Agreements with the owners of internal data sources
  • Document and visualize the Data Integration Designs as well as the interface specifications
  • Ensure full compliance to Deutsche Bank Enterprise policies (especially in regards to IT Security, Data Protection, and Data handling)
  • Work with Business Analysts to help them understand the data, so they can better define business requirements
  • Help refine business requirements
  • Work with Splunk Engineers to build Proof of Concept implementations of the interface
  • Organize and drive review & sign-off workshops with customers, data source owners, and Splunk Engineers on the interface specification documents
  • Support Splunk Engineers with the implementation of the interfaces
  • Support the Splunk Operations groups with the monitoring of the data feeds. Support the data owner of Splunk (and ultimately the customer) understanding the data
  • Support Architecture and Design of a large, clustered Splunk environment which is used as SIEM
  • Estimate efforts to implement the DI solution
  • Support the Quality Manager by testing the solution, by generating suitable test data etc
  • Additionally, the Engineer will support project managers and the regional management team in project planning, tracking, and reporting when required
  • Communication (verbal & written)
  • Interpersonal interaction / Team player
  • Visualization of complex concepts
  • Documentation & Visualization of complex IT Systems
  • Desirable Skills and Certifications
  • Splunk Certified Admin or equivalent
  • English (mandatory, fluent both verbally as well as written),
  • German (nice to have)
  • Ethical, trustworthy and of good values
  • A problem solver able to clearly articulate complexity and approach
  • An excellent communicator – with written and verbal skills – including formal presentation skills
  • Interpersonally savvy when interacting with internal employees and external customers
  • Composed of planning, organization, and implementation skills
  • Detail orientated and quality focused
  • Highly motivated with an overwhelming desire to deliver beautiful and intelligent solutions
  • Strong documentation and visualization skills
  • Proven experience with data integration projects in mass data applications (ideally with machine data)
  • Profound experience with IT Projects in large Enterprises and surrounding IT and data protection policies
  • Excellent communication skills in English (German nice to have), both verbally as well as written
  • Experience with performance critical data processing at large scale using data streams, files, or databases
  • Technical degree (desirable)
  • Business Analyst qualification (desirable)
105

Data Integration Consultants Resume Examples & Samples

  • Business requirements analysis and Analytics solution design
  • Data and information strategy definition as part of overall enterprise architecture strategy
  • Development, testing and deployment integration solutions, expert or team lead
  • Participating in program-wide technology capacity planning, deployment, troubleshooting, and performance tuning activities
  • Learning and adopting Accenture's Analytics approaches, methodologies and assets
  • Working in collaboration with Accenture’s global network of experts and delivery centers
  • A Bachelor's or Master's Degree in technology, mathematics, economics or other relevant field
  • Work experience from data warehousing, data modeling and ETL
  • Good technical skills in any of market leading software platforms, examples including: AWS, Azure, Google Cloud Platform, Talend, Informatica, IBM Infosphere and Oracle
  • Experience from working in project teams and applying delivery methodologies
  • Preferably consulting delivery experience from client projects
  • Strong interest in growing your own technology, industry, management, leadership and sales skills
  • Flexibility to meet travel requirements, when applicable
  • Strong written and verbal communication skills in both English and Finnish
106

Data Integration Engineering Manager Resume Examples & Samples

  • 6 years' experience with
  • Development using JAVA/J2EE, BPEL, OSB/ESB, PL/SQL, Xml, XSLT, XQuery & tools JDeveloper, Eclipse, & Oracle Fusion Middleware Suite
  • Design & development of client/server applications & SOA based applications & services using JAVA/J2EE platform, Oracle Fusion Middleware 11g (Weblogic, SOA Suite & Service Bus) & design patterns
  • Building automation using Apache Ant Scripts or Maven & source code maintenance using SVN software repositories
  • Design & development of multi-tier applications in a complex architectural landscape including 3rd party enterprise applications
  • Utilizing Waterfall or LEAN/Agile delivery methodologies for all phases of the SDLC
  • 3 years' experience with
  • Providing technical code reviews & with conducting quality assurance using lean & six sigma process methodologies
  • Regression, load & performance testing of SOA & OSB based services & JAVA/J2EE based client server applications using SoapUI & Junit
  • Development of coding conventions & standards to enhance source code management & increase software maintainability
  • Full life-cycle solution delivery projects of more than 10 people with a project duration of longer than 6 months
  • Performing database design using ER diagrams, execution of DML statements using PL/SQL & data base connectivity from SOA, OSB & Java applications using JCA & JDBC technologies
107

Data Integration Engineers Resume Examples & Samples

  • Experience may predate Master’s degree but must be post Bachelor’s degree
  • Three (3) years’ experience using Data Stage 8.7 to design and develop efficient, effective, and complex EDW data integration mappings using the following stages: sequential file, data set, file set, complex flat file, oracle enterprise, ODBC Enterprise, DB2/UDS Enterprise, Teradata, SQL Server Enterprise, Aggregator, FTP, Filter, Funnel, Join, Lookup, Merge, Modify, Remove Duplicates, Slowly Changing Dimension, Sort, Transformer, Surrogate Key Generator, Sequencer, Job Activity, Notification and Exception Handler
  • Three (3) years’ experience in implementing complex data integration jobs in an enterprise data warehouse environment that includes the following type of integrations: source to staging, staging to integration (3NF), and integration (3NF) to data warehouse (Star Schema)
  • Three (3) years’ experience in design and development of clear, standard and performant SQL code on Oracle 11g, Teradata 14.10, and/or SQL Server 2012 database platforms by joining tables, filtering rows, transforming columns, grouping, ordering and sorting data, utilizing analytic functions, pivoting and un-pivoting data and creating database objects, schemas, tables, views, stored procedures, indexes, synonyms, and materialized views
  • Three (3) years’ experience in dimensional modeling and entity relationship modeling at conceptual, logical and physical levels. Basic experience in modeling dimension tables with SCD1 and SCD2 attributes, snowflake dimensions, junk and degenerate dimensions; bridge tables; transaction facts, accumulating and periodic snapshot facts; reference and master tables; transaction tables; staging and lookup tables in an EDW environment
  • Three (3) years’ experience in design and development of complex KSH shell scripts on UNIX, Linux, and Windows server environments in order to modify, copy, rename, move, schedule, and process flat, complex flat, XML, csv, and delimited files
  • Three (3) years’ experience in performing data profiling and data analysis on source system data to determine the actual content, structure and quality of data
  • Three (3) years’ experience in design and development of scheduling and processing jobs using CA ESP scheduler tool, Data Stage 8.7 sequences and KSH Unix scripts to effectively manage job scheduling and dependencies in a highly complicated Enterprise Data Warehouse job environment with over 500 jobs
  • Three (3) years’ experience in development and design of bulk loading script processes in Oracle 11g using SQL*Loader and External Tables and in Teradata 14.10 using FASTLOAD, MULTILOAD and TPT
108

Telematics Iot-data Integration Development Lead Resume Examples & Samples

  • Design & develop streamed data integration process flows and data mappings
  • Design, develop and document processes that consolidate and integrate data per specifications
  • Provide timely project and task updates to all concerned parties
  • Experience leading design and hands-on implementation of distributed systems
  • Knowledgeable of software design patterns
  • Experience with Object-Oriented architecture and Service-Oriented architecture
  • Must have a strong working knowledge of SQL, ANSI SQL,
  • Experience with .NET framework (C#) is required
  • Must have a working knowledge of reading and creating ER diagrams
  • Experience with Oracle 11g/12c development is required
  • Experience developing solutions with MSMQ, Rabbit MQ or other Message Oriented Middleware
  • Experience using nHibenate or other ORM
  • Experience developing SOAP and REST Services
  • Must have proven experience with Oracle or other RDBMS development
  • Minimum 4 years of working experience in data warehousing/ETL development
  • Excellent verbal and written communication skills with a strong focus on the ability to clearly articulate and discuss technical issues
109

Consulting Data Integration Engineer Resume Examples & Samples

  • 7+ years of relevant work experience
  • Knowledge of Windows and Linux system administration activities
  • Knowledge of MSMQ system administrative activities
  • SQL database management systems
  • Ability to communicate clearly and effectively. Demonstrated oral and written communication skills required
  • Understanding of underlying technologies to include storage, and networking
  • Possesses good organizational and presentation skills. Demonstrated presentation/public speaking skills and experience required
  • Definitive analytical ability. Problem solving is a required core competency. Analyzes the components of the process including distinctive characteristics, constraints, limitations, requirements, and risks
  • A comfort, or even preference, for an environment of discovery and uncertainty. Treats change and new situations as opportunities for learning or growth. Focuses on the beneficial aspects of change and speaks positively about the change to others. Tries to understand changes in work tasks, situations, and environment as well as the logic or basis for change
  • Possesses developed interpersonal skills to work in a high profile and fast paced team environment. Partners with colleagues to achieve shared results, outcomes, or goals
  • Networks with senior internal and external contacts in area of expertise
  • The ability to design, implement and support systems to account for enterprise deployment across multiple divisions