Data Engineer, Analytics Resume Samples

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HH
H Hansen
Harmony
Hansen
238 Lyla Place
Houston
TX
+1 (555) 334 4570
238 Lyla Place
Houston
TX
Phone
p +1 (555) 334 4570
Experience Experience
10/2015 present
San Francisco, CA
Data Engineer, Analytics
San Francisco, CA
Data Engineer, Analytics
10/2015 present
San Francisco, CA
Data Engineer, Analytics
10/2015 present
  • Manage data warehouse plans for a product or a group of products
  • Work with data infrastructure to triage infra issues and drive to resolution
  • Inform, influence, support, and execute our product decisions and product launches
  • Perform data analysis to generate business insights
  • Manage data warehouse plans for a business vertical or a group of business verticals
  • Manage the delivery of high impact dashboards and data visualizations
  • Create automated ETL pipelines for a wide variety of data sources
06/2010 05/2015
Boston, MA
Analytics Data Engineer
Boston, MA
Analytics Data Engineer
06/2010 05/2015
Boston, MA
Analytics Data Engineer
06/2010 05/2015
  • Manage all HP.com reporting and data infrastructure (reporting datamarts, ETLs, data visualization tool management, user management)
  • Work with data science and analytics teams to define and implement project specific data management approaches
  • Develop data ETL pipelines for multiple storage solutions, including distributed platforms such as Hadoop
  • Manage and prioritize multiple assignments
  • Create and maintain documentation on current environment, data locations/sources and models, ETL processes and associated code
  • Collaborate with other internal and external Analytics & Engineering teams to drive continuous improvements in metrics quality and processes
  • Act as a technical expert addressing problems related to system and application design, performance, integration, security, etc
04/2007 03/2010
Philadelphia, PA
Data Engineer, Analytics, Intern / Co-op
Philadelphia, PA
Data Engineer, Analytics, Intern / Co-op
04/2007 03/2010
Philadelphia, PA
Data Engineer, Analytics, Intern / Co-op
04/2007 03/2010
  • Support critical data processes running in production
  • Curious, self-driven, analytical and excited to play with data
  • Architect, implement and deploy new data models and data processes in production
  • Programming expertise in a language of your choice
  • Knowledge of SQL
  • Knowledge of database systems
  • Design, build and launch new data models in production
Education Education
Bachelor’s Degree in Computer Science
Bachelor’s Degree in Computer Science
Ball State University
Bachelor’s Degree in Computer Science
Skills Skills
  • Strong writing and client facing communications with the ability to effectively develop and maintain client relationships
  • Excellent analytical and problem solving abilities
  • Able to think and act strategically
  • Strong written, verbal, and presentation skills
  • Action oriented and able to prioritize while handling multiple tasks
  • 5+ years in client facing roles with good understanding of data architecture, ETL and BI solutions etc
  • 7+ years' experience in information technology and/or IT professional services
  • Prior experience with Big Data ETL tools like Informatica BDM, Talend
  • Experience customizing off-the-shelf products as well as custom development of tools for data collection, analysis, and reporting
  • 5+ years’ full-time work experience with data management and BI tools, including setting up ETL processes, synthesizing data across multiple sources, extracting relevant information, and generating readable, understandable reports/dashboards
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1

Do not Use-data Engineer, Analytics Resume Examples & Samples

  • Design, build and launch new data models in production
  • Design, build and launch new data extraction, transformation and loading processes in production
  • BS/BA in Computer Science or Mathematics
  • 2+ years experience in the data warehouse space
  • 2+ years experience with programming languages, Python preferred
  • Hands on and deep experience with schema design and dimensional data modeling
  • Ability to write efficient SQL statements
  • Ability and interest in managing and communicating data warehouse plans to internal clients
2

Data Engineer Analytics Resume Examples & Samples

  • Pro-active (engaging & impact-oriented) mindset, ability to think end-to-end
  • Ability to work in a fast-paced environment with different international cultures
  • Business mindset: very good numerical and analytical skills
  • Good communication (both written and verbal) and facilitation skills (small and large groups), especially when interacting with different levels of business
  • Fluent English (verbal and written),
  • Strong MS-Office skills (Word, Excel, PowerPoint)
  • Minimun of 3 - 5 years of work experience related to this field
  • Minimum of 2 years of hands-on data engineering experience
  • Strong expertise in conceptual data modeling
  • Hands-on know how of data integration tools and methodologies (e.g. Informatica, BO Data Integrator, Tibco, etc.)
  • Strong expertise in database and Big Data technologies and software (ideally SAP HANA, Hadoop and related query / processing languages like SQL, Hive, Pig, Map Reduce)
  • Expertise in data science methodologies, specifically data provisioning to statistical models and operational model management (ideally in R or SAS)
  • Ideally expertise in management of unstructured data
  • General business understanding
  • General BI Skills preferred
3

Data Engineer, Analytics Resume Examples & Samples

  • 4+ years of experience with dimensional data modeling & schema design in Data Warehouses
  • 2+ years of experience in custom or structured (ie. Informatica/Talend/Pentaho) ETL design, implementation and maintenance
  • 2+ years experience with programming languages. Python and Java - advantage
  • Ability to analyze data to identify deliverables, gaps and inconsistencies
  • Excellent communication skills including the ability to identify and communicate data driven insights
  • BSc or MS degree in Computer Science or a related technical field
  • Experience working with either a Map Reduce or an MPP system – an advantage
4

Data Engineer, Analytics Technology Resume Examples & Samples

  • Undergraduate degree in the field of computer science or engineering, or focus on statistical analysis or equivalent experience required. Masters degree in related proficiencies preferred
  • Three (3) to five (5) years of data analytics experience, working in large scale/distributed SQL, NoSQL, and/or Hadoop environments
  • Proficiency in building data pipelines and/or related ETL pipelines within large-scale distributed frameworks as well as related query/processing technologies such as Spark, Impala, Hive, or Presto
  • Thorough understanding of summary statistics, machine learning, natural language processing, and mathematically focused programming languages such as R and Python
  • Ability to quickly understand which data is used by which business processes and what the data means in the context of these specific processes
  • Experience leveraging Elasticsearch for ingest and query design, or related solution such as Kibana, etc
  • Experience leveraging messaging and queuing solutions such as Kafka, RabbitMQ, Tibco
  • Ability to work effectively within cross-functional business and technical teams, as well as proficiencies with Agile/Scrum methodologies
  • Demonstrated business acumen and the ability to apply technology solutions to solve business problems
  • Working knowledge of media sales and/or research operations, including broadcast TV, digital, and mobile preferred
  • Experience working in hybrid cloud environments a plus
  • Experience working with data sources such as Nielsen, Adobe Analytics, comScore, Hitwise, and other industry research sources a plus
  • Strong interpersonal oral and written communication skills
  • The ability to quickly build rapport and gain the respect and cooperation of both technology and business peers
  • Be able to deal with ambiguity and make quality decisions in a dynamic, fast-paced environment
  • Active passion for the media space
  • Customer-focused
  • Strong teamwork and interpersonal skills; ability to communicate and persuade peers and thrive in a cross-functional matrix environment
  • Ability to articulate ideas to both technical and non-technical audiences
  • Continually improves upon weaknesses while maintaining and utilizing strengths to reach goals
  • Able to quickly learn new technologies as they become prevalent and widely implemented, and develop oneself
  • Personally driven to utilize both proven and unique solutions to address business problems until issue is resolved
  • Asks informative, open-ended questions when necessary, and actively listen to responses
5

Data Engineer, Analytics Resume Examples & Samples

  • BS/BA in Technical Field, Computer Science or Mathematics
  • 2+ years experience working with either a Map Reduce or an MPP system
  • 2+ years experience with object-oriented programming languages (e.g. Python or Java preferred)
  • 2+ years experience with schema design and dimensional data modeling
6

Data Engineer, Analytics Resume Examples & Samples

  • 2+ years experience with programming languages (e.g. Python or Java preferred)
  • 2+ years experience with schema design and data modeling
  • Experience in managing data warehouse plans to internal clients
7

Deloitte, Analytics Data Engineer, Belfast Resume Examples & Samples

  • Be based in and work in our Belfast studio with the potential requirement to work on client site depending on need
  • Lead the design of analytical solutions from initial data assessment to development and deployment of models
  • Participate in the full service lifecycle, from design to sales, through to setup and delivery
  • Have the opportunity to lead and directly shape client relationships, with extensive client interaction
  • Focus on delivering the highest quality solutions using techniques like data mining and predictive models
  • Be highly collaborative, working closely with clients and end users
  • Be supported by Deloitte's commitment to invest in its people through a structured training programme that includes on-going recognised certification in latest methodologies and technologies
  • Work in an environment where self-development, learning and knowledge sharing is actively encouraged as part of the day-to-day work of the team. The role may involve a significant amount of travel within the UK and overseas and will require the flexibility to meet peaks of work inherent in the cycle of a deal
  • Business Intelligence: Experience developing solutions using BI tools (e.g. IBM Cognos BI, SAP Business Objects, Tableau, SAS)
  • Data warehousing: Strong relational database and data warehousing knowledge (including T-SQL, PL/SQL or similar)
  • Data management: Proven capability in the use of ETL and/or Master Data Management solutions (Informatica, MS SQL Server, IBM InfoSphere)
  • Business consulting: Experience of working with clients to understand, refine and execute technology-enabled change projects
  • Team working and leadership: A strong background in collaborative working with other creative and passionate data engineers
8

Data Engineer, Analytics Resume Examples & Samples

  • A Bachelors, Masters or PhD degree in one of the following areas: Computer Science, Mathematics or Physics
  • Programming expertise in a language of your choice (e.g. Python or Java preferred)
  • Ability to thrive in a fast paced work environment
9

Data Engineer, Analytics, Intern / Co-op Resume Examples & Samples

  • Pursuing a BS, MS, or PhD degree in one of the following areas: Computer Science, Mathematics, Physics, or related technical field
  • Programming expertise in a language of your choice
  • Returning to one semester of school at the end of internship
10

Analytics Data Engineer Resume Examples & Samples

  • This position requires a Bachelor's Degree in Computer Science or a related technical field, and 1+ years of relevant employment experience
  • 2+ years in using SQL and databases in a business environment
  • 2+ years in using OLAP technologies and BI Analytics
  • Experience writing machine learning algorithms
  • Able to write Shell Scripts in Linux
11

Data Engineer, Analytics Resume Examples & Samples

  • Implement a new self-service data delivery capability for data scientist
  • Transition existing on-premise data environment to the cloud
  • Research and develop new data storage architectures for growing and changing data needs
  • Create automated ETL pipelines for a wide variety of data sources
  • Define and build APIs to data products commonly accessed by applications
  • Collaborate with data scientist, data viz experts, and business partners to understand data needs
  • Operate in an environment where you are encouraged to pursue the next great thing
  • 3+ years experience with Data modeling, ETL, and data warehousing experience
  • 2+ years Experience with Hadoop Ecosystem like Spark (Java, Scala or Python), Oozie, Hive/Impala, Structured File Formats (Avro, Parquet, etc.)
  • Experience implementing cloud-based solutions (Microsoft Azure preferred)
  • SQL development experience
  • Bachelor’s degree in computer science, information systems, business, or related field
  • Development experience with at least one NoSQL database (MongoDB, Cassandra, etc.)
  • Experience working with graph databases
  • Hands-on experience managing distributed systems and clusters
  • Experience using Informatica's Big Data Management suite or Power Center
  • Polyglot development: Capable of developing/scripting in Python, .NET (C++/C#), and/or Java (or other platform-agnostic languages) with good understanding of functional programming
  • Experience performance tuning
  • Experience using SAS
  • Experience supplying data to business intelligence tools such as Tableau, Cognos, Qlik
12

Analytics Data Engineer Resume Examples & Samples

  • Manage all HP.com reporting and data infrastructure (reporting datamarts, ETLs, data visualization tool management, user management)
  • Evaluate off-the-shelf/custom data processing packages to collect, store and transform HP’s digital data
  • Define new and optimize existing standard ETL routines/processes, to enable business users with relevant data feeds for timely business decisions
  • Build new/ enhance existing datamarts/databases, dashboards, reports, data models and scorecards on Tableau or other similar data visualization tools
  • Work cross-functionally with engineering and business users to define data needs, ETL and metrics
  • Create and maintain documentation on current environment, data locations/sources and models, ETL processes and associated code
  • Conduct training sessions on tools and data accessibility
  • Research and experiment with the latest analytics and data technologies – deliver POCs in support of new data models/tools
  • Collaborate with other internal and external Analytics & Engineering teams to drive continuous improvements in metrics quality and processes
  • Define data governance and operating model to support HP.com stakeholders within the company
  • BS in Computer Science or equivalent
  • 5+ years’ full-time work experience with data management and BI tools, including setting up ETL processes, synthesizing data across multiple sources, extracting relevant information, and generating readable, understandable reports/dashboards
  • Experience customizing off-the-shelf products as well as custom development of tools for data collection, analysis, and reporting
  • Proficiency in SQL and relational databases a must
  • Expertise with Tableau/Power BI or similar visualization tool a must
  • Experience working in a cloud warehousing environment such as Amazon Redshift, Microsoft Azure, Google Vertica-on-demand, etc. required
  • Understanding of the Digital/eCommerce space and standard tools (Google Analytics, Adobe Analytics, etc.)
  • Proficiency in Python, R is preferrable
13

Data Engineer, Analytics Resume Examples & Samples

  • Collaborate with other Engineers, Data Scientists and Product Managers to understand product goals and data needs
  • Design, implement and deploy new data models and data processes in production
  • A BS, MS, or PhD degree in one of the following areas: Computer Science, Mathematics, Physics, or related technical filed
  • Working knowledge of Python and SQL is required
  • Experience in ETL framework is a plus
  • Knowledge of database systems
14

Data Engineer, Analytics Resume Examples & Samples

  • 4+ years experience in the data warehouse space
  • 4+ years experience in custom ETL design, implementation and maintenance
  • 4+ years experience working with either a Map Reduce or an MPP system
  • 4+ years experience with schema design and dimensional data modeling
  • 4+ years experience in writing SQL statements
15

Advanced Analytics Data Engineer Resume Examples & Samples

  • SQL expertise and data modeling experience
  • Strong experience with Unix/LinuxETL and data movement tools experience including: DataStage and Sqoop
  • MapReduce experience is a plus
  • Knowledge of industry standard BA tools, including Cognos, QlikView, Business Objects, and other tools that could be used for enterprise solutions
  • Able to work in teams and collaborate with others to clarify requirements
16

Data Engineer, Visualization Analytics Resume Examples & Samples

  • Provide key insights through building succinct dashboard widgets that enable customers/internal stakeholders to have an ongoing conversation with data
  • Build and maintain visual budgeting/forecasting models for risk, retention, and operational/cost/spend efficiency and provide regular reporting, analysis, and insights against these models
  • Work with digital owners to develop an effective communication strategy around the role of visual analytics in discovery of insights
  • Explore and examine data multiple sources in order to develop visual reporting needs to analyze trends in the KPIs as well as regular reporting for assigned customer needs
  • Provide technical analysis to prepare specifications for visual analytics and reporting needs – assist with QA and testing of new dashboarding/widgets
  • Working under the guidance of project leads, help manage team projects via task scheduling and tracking, issue management, status reporting, budget management, and stakeholder communication
  • Bachelor's Degree in Information Technology, Computer science or Engineering
  • Coursework in Data Science, Analytics, Statistics, & Business Intelligence are desired
  • Analytics platforms and dashboard development
  • Creative problem skills
  • Integration of dashboards into content management platforms
  • Demonstrated ability to learn quickly
  • Effective oral communication and written documentation skills
  • Ability to work in an iterative manner, building and refining through frequent interaction with the business customer
  • Excellent ability to work alongside others, quickly engaging to solve problems or further understanding
  • Expertise in PL/SQL, Teradata
  • Strong skills in SAS and/or R analytics software (mostly for data manipulation, predictive and optimization modeling) and MS Excel (many procedures be written here first and then need to be written in a higher-powered tool like SAS/R or SQL)
  • Strong understanding of database theory and architecture
  • Python coding for data transformation procedures
  • Experience in supply chain (production planning or demand planning)
17

Data Engineer, Analytics Resume Examples & Samples

  • BS/B.Tech./M.Tech in Computer Science, Math or related field
  • 2+ years hands-on experience in the data warehouse space, custom ETL design, implementation and maintenance
  • 2+ years hands-on experience in SQL or similar languages and development experience in at least one scripting language (Python preferred)
  • Strong data architecture, data modeling, schema design and effective project management skills
  • Excellent communication skills and proven experience in leading data driven projects from definition through interpretation and execution
  • Experience with large data sets, Hadoop, and data visualization tools a plus
  • Ability to initiate and drive projects, and communicate data warehouse plans to internal clients/stakeholders
18

Operation Data Management & Analytics Engineer Resume Examples & Samples

  • Develop the Strategy and provide support in the area of process data and analytics utilized through the PI the data information system, DCS information, and manual entry to provide information for operation and management of the reaction manufacturing facilities globally
  • Participate in the development of the Control systems strategy for the manufacturing plants with a view to the long term implantation of system control
  • Participate in the development of Technically Assisted Operations system to be used by manufacturing and logistics personnel connecting ERP, DCS, PI, SDS, and other available system derived information used in the operations of the facilities at the floor level using hand held or hands free technology
  • Contribute to the selection and development of Advanced Process Control (APC) applications
  • Contribute to the selection and development of Real Time Optimization (RTO) applications
  • Implement, integrate and deploy improvements, such as, performance monitoring tools, advanced process control schemes and dynamic simulators for operator training to ensure that the implemented solutions are sustainable
  • Stay up-to-date with the newest technologies and constantly evaluate their relevance and value to NALCO Champion
  • Generate ideas for improvement projects, including measurement of benefits and development of project cost/benefit analyses
  • Work closely with end users to train personnel on the effective use of the systems
  • Bachelor’s degree in Chemical or Electrical Engineering required
  • 3+ years of Process Control, Advanced Process Control, Applications Development experience and process modeling
  • Knowledge of the PI data historian and similar products
  • Formalized education and / or practical hands on experience working with Distributed Control Systems (DCS), Programmable Logic Controller (PLC) systems and plant information systems is essential
  • No immigration sponsorship available for this opportunity
  • Master’s degree in Chemical or Electrical Engineering preferred
  • Strong hands-on experience and demonstrated ability to provide practical technical skills for design and integration of information management systems
  • Experience and practical knowledge in industry best practice of instrumentation, process equipment, electrical systems, measurement technology, ISA standards, field instrumentation design and application implementation in the process industry
  • Programming, configuration and troubleshooting on automation systems, process control systems (Major DCS & Rockwell Automation PLC’s)
  • Strong communications skills to be able to work with all levels within the Manufacturing environment
  • Must have an ability to define a plan, schedule and meet commitments for time and cost
  • Ability to promote change with manufacturing at all levels
  • Present a visible passion for the systems being developed with an ability to hear and understand the challenges of the tasks completed at the worker level
  • Excellent understanding of manufacturing, facility design, engineering, operations, maintenance, and reliability
19

Data Engineer of Digital Analytics Resume Examples & Samples

  • Collaborate with business, marketing, and technology teams to understand business goals, translate those goals into tracking solutions, and develop corresponding product requirements
  • Design and implement analytics solutions to meet data collection and reporting needs; perform quality assurance to guarantee clean data
  • Maintain and govern integrations across Adobe tools including Dynamic Tag Management, Reports & Analytics (Omniture), and Target
  • Conduct audits and troubleshoot tracking gaps to maintain data confidence and implement data standardization
  • Maintain detailed documentation of data collection methods and dependencies
  • Solid expertise with JavaScript and JS frameworks such as JQuery
  • Practical understanding of web standards, protocols and development libraries
  • Familiarity with database technologies, specifically relational databases, data warehousing, or other database query tools and languages
  • Strong experience in a tag management system like Adobe DTM
  • Exceptional analytical, quantitative, problem-solving, and critical thinking skills
  • Strong interpersonal and communication skills for working with various data stakeholders
  • BA or BS in Computer Science or equivalent experience
  • Experience in web analytics tracking such as Adobe Analytics (Site Catalyst and Discover) or Google Analytics
  • Hands-on experience with a/b testing and/or multivariate testing tools used to optimize consumer experiences
  • Web or app development experience
20

Senior Analytics Data Engineer Resume Examples & Samples

  • Guide projects through the process of identifying appropriate data stores and pipelines to match business strategy and objectives
  • Extract data and prepare for analytic modelling process
  • Lead the development of data ETL pipelines for multiple storage solutions, including distributed platforms such as Hadoop
  • Develop practical NoSQL and relational solutions to conquer scalability and distributed data processing challenges for analytic model development
  • Bachelor’s degree in Computer Science, Applied Mathematics or related field, Master’s degree is a plus
  • 5+ years of Data extraction/modeling experience, including ETL experience in traditional data (MSSQL, Oracle etc) and Big data platform using Hadoop ecosystem (Spark, Hive, NiFi, Sqoop, Flume etc.)
  • 5 + years of specific experience extracting and transforming data on large scale data processing solutions
  • 5+ years experience in scripting languages (Perl, Python, Java etc)
  • 5+ years experience developing with SQL and RDBMS(s), and experience in NoSQL solutions (Hbase, Cassandra, MongoDB, CouchDB etc.) and managing unstructured data
  • Experience working with remote and global teams
  • Ability to quickly understand business requirements and transform them into data models
  • Strong customer focus and process discipline
  • Proven experience ingesting, managing and visualizing high volume telemetry data, such as connected device data or manufacturing / shop floor data into a distributed computing platform
21

Analytics Data Engineer Resume Examples & Samples

  • Develop data ETL pipelines for multiple storage solutions, including distributed platforms such as Hadoop
  • Work with data science and analytics teams to define and implement project specific data management approaches
  • Bachelor’s degree in Computer Science, Applied Mathematics or related field
  • 2 years of data extraction/modeling experience
  • 2 years of specific experience extracting and transforming data on large scale data processing solutions
  • 2 years of experience developing with SQL and RDBMS(s)
  • Curious, critical thinker that likes pushing boundaries
  • Excellent collaboration and negotiation skills
  • Ability to work collaboratively with development/implementation staff through the design and build of new business processes and systems
22

Data Engineer, Advanced Analytics Resume Examples & Samples

  • Support data management tasks, including extracting, transforming and loading data from various systems into a SQL Server and/or an MS Access database
  • Develop automated and repeatable processes for extracting requested information from database systems and/or building new automated and ad hoc reports
  • Explore and discover new data sources, and transform raw data extract through profiling, cleaning, mapping and validation with expert resources
  • Present and visualize the data with the relevant use of graphs and charts in business intelligence clients (e.g. Tableau)
  • Document any changes in data systems, flow, relationships, and dependencies
  • Assess data quality, identify gaps in the data and eliminate irrelevant data
  • Maintain current database processes to ensure data and reporting consistency, accuracy, and integrity
  • Support ad-hoc requests for data analysis, summary statistics, and data mining as required by stakeholders
  • Bachelor’s degree in Statistics, Mathematics, Engineering, Operations Research, Computer Science, Information Technology or related fields
  • Proficiency in SQL, MS Access, VBA and MS Excel required
  • Working experience on SSIS/SSDT and SQL Server required
  • Experience and familiarity with relational databases, data warehouse and datamarts
  • Expertise in data extraction, manipulation, and reporting
  • Knowledge of business intelligence tools such as Tableau preferred
  • Knowledge of data mining and advanced analytics techniques for predictive modeling preferred
  • Strong organization and project management skills
  • Ability to effectively communicate ideas and recommendations orally and in writing, while considering the viewpoint of others
23

Data Engineer, Public Sector Analytics Resume Examples & Samples

  • BS in computer science, information systems, or closely related field; advanced degree preferred
  • 2-5 years of hands-on experience in large scale systems integration, data warehousing and ETL tools with a strong background in normalization, physical and logical data modeling, ER diagramming, advanced SQL and performance tuning
  • Advanced SQL experience and proficiency in Big Data technologies (Hadoop / Spark / NoSQL DBs)
  • Data security & governance expertise, preferably in a highly regulated environment (ie government, healthcare)
  • Comprehension of code in analytics language (Python / Scala / Java / R), with interest in learning more
24

Analytics Data Engineer Resume Examples & Samples

  • Responsible for development, and support of Big Data solutions, APIs, tools, and processes to enable rapid delivery
  • Act as a technical expert addressing problems related to system and application design, performance, integration, security, etc
  • Bachelor's Degree / Masters is a plus but not required
  • 7+ years' experience in information technology and/or IT professional services
  • 3+ years of hands-on big data technology experience
  • Certification with one of the Hadoop distribution - Cloudera, MapR, Hotonworks
  • Prior experience with Big Data ETL tools like Informatica BDM, Talend
  • Prior experience with Spark ingestion/ compute
  • Strong writing and client facing communications with the ability to effectively develop and maintain client relationships
  • Excellent analytical and problem solving abilities
  • Able to think and act strategically
  • Action oriented and able to prioritize while handling multiple tasks