Engineer, Data Resume Samples

4.8 (74 votes) for Engineer, Data Resume Samples

The Guide To Resume Tailoring

Guide the recruiter to the conclusion that you are the best candidate for the engineer, data job. It’s actually very simple. Tailor your resume by picking relevant responsibilities from the examples below and then add your accomplishments. This way, you can position yourself in the best way to get hired.

Craft your perfect resume by picking job responsibilities written by professional recruiters

Pick from the thousands of curated job responsibilities used by the leading companies

Tailor your resume & cover letter with wording that best fits for each job you apply

Resume Builder

Create a Resume in Minutes with Professional Resume Templates

Resume Builder
CHOOSE THE BEST TEMPLATE - Choose from 15 Leading Templates. No need to think about design details.
USE PRE-WRITTEN BULLET POINTS - Select from thousands of pre-written bullet points.
SAVE YOUR DOCUMENTS IN PDF FILES - Instantly download in PDF format or share a custom link.

Resume Builder

Create a Resume in Minutes with Professional Resume Templates

Create a Resume in Minutes
PB
P Bradtke
Paxton
Bradtke
5166 Camille Flat
Boston
MA
+1 (555) 966 8329
5166 Camille Flat
Boston
MA
Phone
p +1 (555) 966 8329
Experience Experience
Chicago, IL
Data Engineer Intern
Chicago, IL
Hickle Group
Chicago, IL
Data Engineer Intern
  • Builds relational/dimensional databases and establishment methods to improve functional reporting data content and completeness of data
  • Work with the data governance team to ensure alignment of data definition, quality specifications, models and meta data management to technical implementations
  • Assistant setup Big Data platform setup
  • Embrace an environment that supports innovation and process improvement
  • Rapid development of new data and analytics prototypes
  • Code refactor and improve the code base
  • Knowledge of Java and application development is a plus
San Francisco, CA
Business Intelligence Data Engineer
San Francisco, CA
Halvorson, Kling and Wehner
San Francisco, CA
Business Intelligence Data Engineer
  • Web hosting, development and customer management solutions
  • Assist management of the business by blending, extracting and analysing data
  • Envision, align and execute team’s long-term BI and analytics roadmap
  • Liaise with data providers to solve data issues
  • Production of data workflows and Industrialisation of tactical data projects
  • Contribute to the implementation of improvements to the data processing systems: e.g. analysis and validation of feeds etc
  • Perform data modeling, ETL construction, and data warehousing for team’s data platform
present
Detroit, MI
Associate Data Engineer
Detroit, MI
Orn, Schaefer and Zieme
present
Detroit, MI
Associate Data Engineer
present
  • Work closely with other members of the data engineering team Provide insight into game and business data
  • Troubleshoot any performance, system or data related issues, and work to ensure data consistency and integrity
  • Work closely with other members of the data engineering team to provide insight into game and business data
  • Work closely with peers across APT departments and build trust based relationships with client business and technology professionals
  • Work in a high paced and rewarding environment with bleeding edge technologies and innovative concepts
  • Assist in end to end data on boarding and in creating a data pipeline for the end application
  • Maintain and develop processes to ETL data from production data sources to a centralized data warehouse
Education Education
Bachelor’s Degree in Computer Science
Bachelor’s Degree in Computer Science
Georgia Southern University
Bachelor’s Degree in Computer Science
Skills Skills
  • Architect tables and database to optimize analytic performance. Includes table structure, field types, indexes, sort / distribution keys, compression, etc
  • Innate intellectual curiosity and drive for root cause analysis. Be able to creatively solve problems with the tools and resources available, when necessary
  • Own our big data Analytics platform which includes improving the database design, optimizing the data flows, and ensuring reliable up-time
  • Analyzes, models, designs, develops and implements EDI & QNXT Data components and X12 Transaction Sets for Medicaid sites
  • Represents the EDI and QNXT Data group as a new implementation lead or existing customer support lead, managing junior Integrated Solutions resources
  • Be the expert at moving data from A to B – both one-time movements as well as automated incremental updates. Includes data feeds to/from vendors and moving data between internal databases
  • Assists all other Molina Medicaid groups involved in integration efforts across the practice that involve EDI & QNXT Data
  • Assists and mentors peers with understanding EDI & QNXT Data components, technical architecture, custom development, and operations support
  • Understand all nuances of the database and the business rules associated with pulling the data accurately
  • Be one of the go-to people on the team to answer questions and validate queries. Support the technical development of teammates
Create a Resume in Minutes

15 Engineer, Data resume templates

1

Data Protector Engineer Resume Examples & Samples

  • Provide Performance Management services
  • Provide Capacity Planning services
  • Perform an Availability Analyst role
  • Create performance charts and capacity plans on a monthly and ad hoc basis
  • Distribute performance reports, forecasts and recommendations to HP and Client teams
  • Schedule, lead and document meetings with HP personnel and Clients
  • Two years of full-time Systems Administration experience including installing and monitoring operating systems, or, one year of Performance Management experience
  • Proficient English speaking and writing skills
  • Proficient at using Microsoft/EXCEL
  • Proficient at using Microsoft/Access
  • Proficient teamwork and multi-tasking skills
  • Proficient relationship-building skills
  • Strong organizational, analytical and communication skills
  • Process and best practice oriented
  • Easily adapts to change
  • Highly motivated and considered a self-starter
2

Data Protector Engineer Resume Examples & Samples

  • Production Admin level Knowledge in (either or all) :Tomcat , Apache, MS IIS ( 6.x , 7.x, 8.x) , JBOSS, IBM HTTP Server,
  • L2 Knowledge in IBM Web sphere 6.x and above and Web Logic 8.x and above Application server in clustered/ high available production environment administration
  • L2 Knowledge in Oracle Application server (OAS), IBM Cognos preferable
  • Good knowledge in NETWORK basic ,basics Database Skills (either or all)- MS SQL 2005/2008 , IBM –DB2, Oracle 9.x/10.x , Informix , MySql , MS Access
  • Platform skills (either or all) - Windows, AIX, HP Unix Linux, Sun Solaris,
  • Scripting knowledge (either or all) : HTML, XML, JavaScript, PHP, VBA, Perl, Python, AWK, Shell Script ( Nice to have)
  • Preferable experience with Digital certificate management
  • Experience in performance Tuning/ troubleshooting and third party apps integration
  • Strong knowledge in Fine Tuning & Performance Management of Middleware Applications
  • Knowledge in Advanced Application Monitoring
  • Responsible for Application deployment, Maintenance & Stability
  • Excellent in problem analyzing and solving
  • Good Project management skills; Ability to coordinate tasks with several people, teams, departments; Commitment to timelines and effort
  • Good cross-cultural team player. Used to working in international environment, with numerous servers, Experience in an international environment is an advantage
  • Ability to understand and explain technical concepts to a variety of technical and non-technical audiences
  • Flexibility to work in shifts and On call support
3

Data Protector Engineer Resume Examples & Samples

  • Backup Technologies De Duplication , Virtual Library , Tape Library implementation & Configuration experience
  • Enterprise reporting application will be added advantage , Storage Essenstial , Aptare Etc
  • Computing or similar subject related degree
  • Minimum of 8 years IT experience
  • Minimum of 5 years’ experience in Backup and SAN Storage management
  • Interpersonal sensitivity and customer responsiveness
  • Excellent knowledge of the IT environment and its future trends
  • Must have excellent communication skills to liaise, effectively, as required to ensure efficient delivery of the service
  • Ability to communicate complex technical contents plainly and simply
  • Strong interpersonal skills to communicate clearly and effectively at all levels. Able to demonstrate good verbal reasoning skills
  • Strong consulting skills, flexibility and resourcefulness
  • Strong knowledge of SAN and NAS
  • Strong knowledge of Backup & Tape libraries
  • Strong knowledge on ITIL processes
  • Good understanding of technical infrastructure (Operating systems, Hardware, Backups, Storage and associated tools)
  • Certifications in relevant technologies
  • Service and Customer Orientated / Team player (TCE)
  • Strong ability to work under pressure / Flexible and self-motivated
  • Exposure to Project work is desirable
4

Test Data Engineer Resume Examples & Samples

  • Allocate and manage test data on all platforms using applicable tools
  • Automate test data refresh and creation processes
  • BS in Computer Science/Computer Engineering or comparable experience
  • Experience in the Big Data infrastructures (such as Hadoop, NoSQL Databases), UX design, and compliance domain is a big plus
  • Experience with Information Retrieval concepts and experience with open source search technologies such as Apache Solr and Lucene is a big plus
5

Associate Data Engineer, Business Systems Resume Examples & Samples

  • Manage and maintain the systems used in the financial close process
  • Develop and maintain process for dealing with Blizzard business models
  • Ensure data used in financial close is optimized, accurate and complies with Sarbanes-Oxley internal control requirements
  • Interact and work with other departments and international offices involved with financial data
  • Why you are interested in working at Blizzard
  • What games you are currently playing
  • Only submittals with Cover Letters will be considered
6

Data Engineer Internship, Disney Interactive Resume Examples & Samples

  • Design and develop new data pipeline process and dashboard
  • Design, model, develop and generate data service to support BI reporting, analytics and integration with other applications
  • Recognizing and managing technical dependencies and/or limitations that impact analytic work
  • Actively question and challenge customers to understand their requirements and reach the best solutions, near term and long term
  • Understands and adheres to development and documentation standards, database design and storage
  • Successfully implementing process improvements impacting own work and work of others
  • Performs technical proof of concepts
  • Available June to December
  • Must be a self-motivated, energetic, detail oriented team player passionate about producing high quality apps deliverables and thrives in a collaborative environment
  • Strong in Java programming skills and experience with Java framework like Spring & Hibernate
  • Experience with dimensional and relational DB design and development with multiple relational databases such as Oracle, DB2, MySQL or SQL Server
  • Experience with Javascript, HTML, CSS, ActionScript
  • Experience with Hadoop is a big plus
  • Ability to work in an agile development environment with minimal documentation and process
7

Assistant Data Engineer Resume Examples & Samples

  • Develop processes to manage ETL schedules, dashboard extracts, and scheduled reports
  • Work with data engineers and report developers to troubleshoot automation issues
  • Automate daily system checks and manage system availability
8

Data Engineer Internship, Di-summer Resume Examples & Samples

  • Basic understanding of Software development process and architecture
  • Exposure to software development/coding
  • Exposure to Java/Python/javascript
  • Exposure to django/tomcat/node.js
  • High level understanding of distributed low-latency computing ( eg: Apache Storm)
  • Understanding of SQL/NoSQL technologies ( Eg; Cassandra/ElasticSearch/MongoDB)
9

Nosql Data Engineer Resume Examples & Samples

  • Implement complex data science products with a focus on collecting, parsing, managing, analyzing and visualizing large sets of data to turn into insights
  • Ability to develop prototypes and proof of concepts for selected solutions
  • Work in teams and collaborate with others to clarify requirements
  • Assist in documenting requirements as well as resolve conflicts or ambiguities
  • Enjoy being challenged and to solve complex problems on a daily basis
  • Have excellent oral and written communication skills
10

Data Validity & Experimental Methods Engineer Resume Examples & Samples

  • Analyst
  • Engineering
  • International Trade Compliance
11

Data Flow Engineer Resume Examples & Samples

  • Commerical and Industry Relations
  • General
  • Information Technology
  • Internal Audit
12

Ens-l Data Operation Engineer Resume Examples & Samples

  • The candidate will be responsible for supporting global data infrastructure, including Incident, Problem, and Change Management as part of a global “follow the sun” group
  • Apply, examine, support and troubleshoot a global network including routers, switches, WAAS, Load Balancers and firewalls
  • Using tools and automation to proactively monitor and assure latency compliance and quickly respond to any issues
  • Successfully receive technical escalations and independently provide solutions to resolve high impacting network incidents. Expertly conduct root-cause analysis for major problems and drive the troubleshooting to resolution
  • Communicate with business units during projects and incidents
  • Point of escalations for offshore Level1 and Level2 for incident management
  • Operational acceptance of new deployments and create technical documentation for as built environment
  • Participate in vendor management and governance process
  • Participate in on-call duties in rotation. Week-end work expected
  • The successful candidate will have 5+ year experience in a similar position in an equivalent Financial Services firm
  • Hands-on experience with Data Network skills,
  • An excellent knowledge of data networking principles as well as an excellent knowledge of the specific technologies to manage and support high-speed networks
  • Hardware: Cisco Switches and Routers, Juniper Switches and Routers, Arista Switches, Nortel/BNT Switches, Adva DWDM, F5 BigIP Load Balancers. a
  • Ethernet technologies: SPT, 812.1Q, VPC, Multilayer Switching
  • WAN technologies: SONET/SDH, MPLS, Classic TDM
  • Protocols: OSPF, BGP, RIP, TCP/IP
  • Certifications: CCIE R&S is a must. CCNP Voice and JNCIP Desirable
  • Financial Market Data, Client and Exchange connectivity is a strong plus
  • Ability to prioritize along with good time management skills
  • High level of initiative, proactive approach
  • Flexible and adaptable to meet the teams needs
  • Ability to use Microsoft applications, Word, Excel and Outlook
13

Data Engineer Resume Examples & Samples

  • You will be responsible for the development of the AWS Redshift-based data gathering and analysis platform, and directing the prioritisation and allocation of data engineering resources
  • You will ensure best practice, working with the team to create and drive innovation in the areas of data transformation and load, cloud based data base work, efficient front end reporting
  • Must have deep experience in building scalable data platforms. This is not an analyst/data scientist role where one uses the data, but an engineering position where you are responsible for building and maintain the data system
  • Significant experience of database design and data modelling OLAP on multiple platforms (Oracle, MySQL, Teradata, Vertica, Redshift) with some at least some exposure and experience with Redshift or other columnar database
  • Very strong SQL programming and Performance tuning
  • Distributed Databases MPP
  • You have excellent ETL development skills and scripting experience in Python
  • Scala programming experience
  • You have expert level skills in performance tuning ETL
14

CO OP Data Engineer Resume Examples & Samples

  • Network data construction and application of Network Analytics to complex business issues, involving relationships among both entities and individuals, to better understand transaction effects and interactions and allow for better business decisions
  • Assist the department with the transition to its new Python and Hadoop environment
  • Open to undergraduate / graduate students / recent graduates / contractors
  • Strong foundation in Software Engineering and Core Computer Science
  • Ability to communicate highly technical material to general audience
15

Data Ingestion Engineer Resume Examples & Samples

  • Spring, Spring Boot, Spring Data, Spring Data (ElasticSearch)
  • Spring Cloud Config (Feign/Zuul)
  • Microservice enterprise design experience
  • Lambda Architectures
  • Use of micro frameworks like Scalatra
  • REST
  • Candidate should know how to implement service approaches with REST
  • Message Brokers
  • Knowledge of how messages queues can be used for distributed computing and concurrency
  • PostGIS, Machine Learning and statistical analysis a big plus!
  • Machine Learning a big plus!
  • Excellent verbal and written communication skills to express ideas in a professional manner
16

Manager Market Data Engineer Resume Examples & Samples

  • The Market Data Technology team is responsible for the delivery, support and maintenance of market data infrastructure such as
  • Market Data Distribution Platforms
  • Exchange Connectivity
  • Financial Market Interbank connectivity (FIX or otherwise)
  • Market Data Desktop Products
  • Within the above technical disciplines, the team performs the following functions
  • Delivery of new market data infrastructure and services in both front office and back office to support business growth and changes
  • Support, troubleshooting and maintenance of market data infrastructure
  • Coordination with applications support for market rehearsals and business recovery tests
  • Providing consultancy to business on best of breed in market data technology
  • Identifying risk in daily operations and developing mitigation plans
  • Vendor management on price negotiation and contract renewal
  • Monitoring and capacity management
  • This role is based in Hong Kong, forming part of the global market data technology team. He/She will support the market data infrastructure mainly in Asia with minimal coverage for those in other regions as required
  • The successful candidate will have proven ability and skills in the following areas
  • Minimum 3 years working experience as a market data engineer in similar banking environment
  • Demonstrated ability to build and support Reuters TREP component servers such as ADH, ADS, ATS
  • Demonstrated ability to build and support integration of different market data feeds into TREP platform
  • In-depth knowledge in delivering and supporting exchange connectivity in the region, e.g. HKEx, SGX, JPX, NSE, BSE, KRX, TWSE, PSE, SET
  • Experience working with interbank connectivity providers such as BT Radianz, TNS and IPC
  • Experience and demonstrated understanding of Market Data front end products such as Bloomberg, Reuters Eikon, Iress, DCASS, CCASS, DataStream and Factset, ThomsonOne, Factiva
  • Knowledge and understanding the differences within the scope of networking, e.g. SPT/802.1Q/RIP/OSPF/BGP/HSRP/VRRP, firewall/router/switch/load-balancer
  • Understanding of multicast protocol, e.g. IGMP/PIM
  • Ability to configure and understand Geneos ITRS for Market Data monitoring
  • Ability to troubleshoot complex technical problems within a time pressured environment
  • Proficiency in Linux or Unix
  • Knowledge in Windows user and application security policy
  • Skills in shell scripting and API programming
  • Understanding of security policies in Cisco and Palo Alto firewalls
  • Experience in Corvil
  • Incident and Change Management processes experience through Remedy
  • Risk Management techniques
  • Knowledge and understanding of Business Continuity
  • Demonstrate strong, articulate documentation and communication skills
  • Experience in delivering infrastructure projects according to defined scope and timeframes
  • Sense of ownership and accountability
  • Able to manage time and priorities between multiple tasks
  • Be an enthusiastic global team player
  • Be available to work on weekends
17

Business Intelligence Data Engineer Resume Examples & Samples

  • Online marketing and distribution of tee times
  • At least 5 years of experience in data analysis, design and development of reporting and business intelligence solutions in a data warehouse environment
  • Minimum of 1-3 years development experience with MicroStrategy 8 with the following components: Architect Desktop, Schema Objects, Administrator, Report Services and Web
  • Experienced in development of PL-SQL scripts
  • Well versed in normalization/de-normalization techniques for optimum performance in relational and dimensional database environments
  • Skills in OLAP design and development
  • Involved in generating multi-dimensional cubes and reports using Microstrategy
  • Ability to design and develop reports using Microstrategy
  • Excellent analytical, interpersonal and communication skills with clear understanding of business process flow
  • Ideal candidate will have a minimum of 1 year ETL tool (Informatica, Datastage, Talend) experience
  • MicroStrategy Education a plus
  • Knowledge and experiences in developing and deploying Dashboard, Analytics/OLAP and performance management solutions and assisting in developing a BI architecture and components for all BI, reporting and dashboard technologies
  • UNIX/Linux command knowledge a plus
18

Data Engineer, ASO Resume Examples & Samples

  • Accept the freedom to create and drive impact for Facebook
  • Leverage tools like SQL, Hadoop, R, PHP, Python, Oracle, Java, and Excel to drive efficient analytics and reporting or performing data extraction from mysql/oracle/hive leveraging an extremely large data set
  • Focus on collecting, parsing, managing, analyzing and visualizing large sets of data to turn information into insights using multiple platforms
  • Work with internal technical operations teams to define metrics, automate data collection, synthesize relevant data, build analytical models and forecasts
  • Create and manage failure and/or trend analysis
  • Create and/or assist in the development of tools or data dashboards that drive efficiency
19

CO OP Data Engineer Resume Examples & Samples

  • The role for this position is further specialized in two main areas
  • Platform integration: Build/optimize data flows to bridge other systems with Hadoop platform
  • Data visualization: Create tools for exploring and visualizing relationships among both entities and individuals within existing network data
  • Apply Statistical Analysis, Machine Learning that will provide actionable insight to internal banking clients
  • Create documentation of existing tools / methodologies / processes
  • Assist with ad hoc tasks
  • Strong foundation in RDBMS concepts, relational algebra and SQL
  • Experience in Python. Will consider experienced Java/C++ developers willing to learn Python 3
  • Experience with web visualization technologies (ie. d3.js) is a plus
20

Principal Engineer, Data as a Service Resume Examples & Samples

  • Assesses the value of emerging technologies by assisting with opportunity assessments and proofs-of-concept
  • Assists in the development of strategies, road maps and business systems architectures for information technology and the business
  • Assists in the development of technical and modeling standards across Information Technology and the business
  • Assists in the facilitation of business and systems decisions
  • Participates in all phases of enterprise architecture development in support of business objectives: defining scope, modeling systems, analyzing requirements and developing plans
  • Researches and represents information technology within an applied business context
  • Supports the implementation of enterprise programs to enable business growth and strategic goals
  • Actively participate in the development, testing and deployment of highly scalable and extensible analytics platform
  • Software Development experience, (10 years)
  • Big Data Application Development experience, (5 years)
  • Implementing Big Data Analytics Platforms, (5 years)
  • Enterprise Architecture experience, (2 years)
  • Architecting and implementing cloud solutions, (2 years)
  • Ability to provide leadership, with the ability to coach and mentor team partners
  • Ability to think in broad strategic terms for technology and business
  • Ability to interact and communicate with all levels of the organization
  • Possesses a broad understanding of Information Technology (IT) Service Delivery and can effectively represent IT to business customers
21

CO OP Data Engineer Resume Examples & Samples

  • Open to undergraduate / graduate students
  • Strong foundation in Software Engineering and Core Computer Science (including data structures and algorithms)
  • Experience with Python, Java or C++
22

Engineer, Data Centers Resume Examples & Samples

  • Must be able to work any shift
  • Monitors and optimizes Data Center power utilization, HVAC utilization and related requirements
  • Continued focus on streamlining Methods and Procedure for equipment deployment and implementation
  • Some direction required for job duties and high performance
  • Be available to support 24 x 7 shift schedule
23

Associate Data Engineer Resume Examples & Samples

  • Develop new or enhance features across the platform: interactive data visualizations, data models, interfaces for analytics, and data pipelines
  • Work with data science colleagues: generate powerful datasets for analysis and bring their successful analytics to market
  • Learn the business strategy and generate ideas for insightful tools
  • Masters or Bachelor’s degree in Computer Science or related field or relevant experience
  • Python, Django, Flask, JS, D3, Angular
  • Experience with RDBMs, Cassandra, HDFS, and/or graph databases
  • Enjoy working on both frontend & backend
  • High performance, pragmatic, detail-oriented person
  • Ability to work independently as well as in a team, while fostering consensus in a complex, demanding and fast-paced environment
24

Test Data Engineer Resume Examples & Samples

  • Create, prepare and maintain test data sets
  • Coordinate tasks within test data management: test data definition, test data generation, test data anonymization, test data preparation, test data archiving
  • Adequately prepare test data in a timely fashion
  • Continuously optimize central management of test data
  • Participate in and support data migrations
  • Qualification in Information Technology, as a banking specialist or other relevant background
  • Several years of professional experience in test projects, ideally in the banking sector
  • Know-how of testing methods, testing procedures and testing tools
  • Knowledge of data privacy policies
  • Preferably ISTQB Certified Tester – Foundation Level Certification
  • Solution-driven and quality-oriented work ethic
  • Team player with excellent communication skills within the organization as well as with customers
  • High level of organizational and analytical skills as well as entrepreneurial thinking
  • Good English
  • Basic German
25

Lead SW Engineer, Data Resume Examples & Samples

  • Work with peer leads, local and remote, to make local team part of the global team to deliver Big Data Product Predictive Analytics Product using Spark and Hadoop
  • Understand end to end product and deliver on the module you are leading; on time, with high quality in an agile team by owning design, development and testing
  • Understand complex data processing pipelines and the associated business logic, and understand the impact of work you are doing to the overall system
  • Accurately scope effort, identify risks and clearly communicate trade-offs with the team members and other stakeholders
  • Mentor Engineers on technology, process, people, and product skills
  • Ship high quality products and features with an end-to-end mindset from conception to delivery and production support, owning specifications, quality, release deployments and monitoring of production health
  • 10+ year experience in working with Big Data or data products as database engines
  • BS/MS in computer science from a reputed university
  • Expert in data structure, algorithm and passion for solving hard problems
  • Expert in coding in at least one language: Scala, Java or C++
  • Strong technical knowledge in current Big Data technologies including Hadoop, Spark, Hive etc
  • Familiarity with modern web technologies as HTML5, AngularJS, CSS and REST API development is a big plus
  • Familiarity in scripting with at least one language (Perl/python/shell script)
  • Experience with Agile & DevOps methodologies
26

Data Engineer Intern Resume Examples & Samples

  • Explore data sources to better understand the availability and quality of data
  • Currently pursuing a degree in a computer science, mathematics or equivalent
  • Pursuit of a graduate degree is a plus
  • Experience with Bash or Korn Shell Scripting desired
  • Solid written and oral communication skills
  • Desire to share and inform others
27

Business Intelligence Data Engineer Resume Examples & Samples

  • Envision, align and execute team’s long-term BI and analytics roadmap
  • Perform data modeling, ETL construction, and data warehousing for team’s data platform
  • Manage, prioritize and deliver on ad hoc analytical projects
  • Collect, analyze and present actionable data insights to drive operational support and supply chain logistics decisions
  • Own end-to-end production of metrics reporting that the organization relies on to run the business
  • Act as Subject Matter Expert for anything data related to Operations Technology
  • 4+ years of experience managing data at internet scale
  • Experience in Data Warehouse concepts, ETL and Business Intelligence application development
  • Knowledge of business processes, logical data models and relational database implementations for data analysis
  • Experience in SQL and optimization of complex queries
  • Experience with defining design and test scenarios
  • BS/MS degree in Computer Science or equivalent
  • Programming experience using Java/Perl/Python is preferred
  • Experience working with Distributed databases and AWS or other cloud technologies
  • Experience writing efficient SQL in a Data Warehouse / analytic environment
  • Experience with Redshift and/or MapReduce, distributed computing
  • Experience with Linux and/or system administration
  • Predictive Analytics
28

Data Engineer, Business Intelligence Resume Examples & Samples

  • You will be designing, developing, and implementing the data infrastructure that elevates data-driven decision-making for the AWS Network Scaling and Deployment organization
  • You will work with business customers and development teams to define analytics requirements and then deliver flexible, scalable solutions from end-to-end, harvesting process-level data and transforming it into normalized data marts from which operational and process metrics and analysis can be reliably generated
  • Data modeling, ETL, and Data Warehousing experience 3+ years
  • Familiar with AWS as a Platform
  • Capable of data processing and transference outside of ETL tools or databases (custom scripts to pull and load from APIs or Files)
  • Experience writing software requirements
  • Familiar with Enterprise Networking
29

Data Engineer Intern Resume Examples & Samples

  • Assistant setup Big Data platform setup
  • Write code in Java and Python
  • Apply web analytics requirements on Big Data
  • Identify the solution to Integrate SAS with Amazon Web Services (AWS)
  • Identify the solution to Integrate R with AWS
  • Graduate student in Math, Computer Science, Computer Information Systems, Statistics or Public Health preferred
  • Familiar with Ecommerce and web analytics
  • Experience with website tracking system
  • Interesting in Hive, Hadoop, EMR, S3
  • Strong Statistical background and predictive modeling skills
  • Excellent documentation ability
  • High proficiency in MS Suite to manipulate data and create analysis and presentations required
30

Service Engineer / Data Analyst Resume Examples & Samples

  • Provide recommendations on technical design that transforms raw data into a sound data models and actionable information
  • Translate business requirements to system/functional requirements; work with teams to implement
  • Perform data profiling and business analysis - used to determine requirements and implementation
  • Troubleshoot root cause of issues reported by stakeholders and make recommendations to resolve
  • 10+ years of relevant industry experience
  • 3+ years of financial management experience
  • Ability to leverage PowerShell and TSQL to generate automation tools and data views in SQL
  • Known as someone who can “solve tough technical challenges fast”
  • Proven track record of developing targeted, simple, scalable and sustainable applications
  • Desire to work in an iterative Agile environment
  • Resourcefulness to drive issue resolution
  • Hands on experience across the Microsoft technology stack
  • Proficiency in Microsoft Office required
31

Distinguished Engineer, Data Fabric Resume Examples & Samples

  • Be an active member of an agile development team
  • Define, design, implement and test, debug and launch software in a variety of technologies
  • Lead design discussions
  • Be a technology and software development thought leader in the organization
  • Work in a cross-functional team environment
  • Have fun
  • Expertise in Object Oriented Software Development
  • Built and delivered several complex software products
  • Strong Engineering Leadership Skills
  • Presenting technical material to technical and non-technical audiences
  • Making the case for new technology
  • Leading design discussions
  • Working cross functionally with colleagues in Operations and Quality Engineering
  • Proficient in one or more high-level languages: Java, C++, Scala, etc
  • Proficient in at least one scripting language: Python, Ruby, Perl, etc
  • One or more query languages desired: SQL, SPARQL, Gremlin, etc
  • Distributed computing concepts and practical experience building distributed systems
  • Solid full software lifecycle development experience
  • Solid functional programming knowledge a plus
  • Excellent communication skills (oral and written)
  • BS/MS in CS or equivalent work experience
32

Data Engineer Intern Resume Examples & Samples

  • Candidates must have a Bachelors/ Masters in Computer Science or Engineering from premier institute or strong math degree
  • Possess an extremely sound understanding of areas in the basic areas of Computer Science such as Algorithms, Databases
  • Knowledge of Java, Python, R, SQL
  • Solid UNIX or Linux experience and Oracle
  • Strong debugging/troubleshooting skills and build cross-platform network & database solutions
  • Excellent verbal & written communication skills & problem solving skills
  • Passionate to work with analytic tools, providing a comprehensive platform for customers to access their data
  • Exposure to any big data technology like Hadoop is a plus
33

Associate Data Engineer Resume Examples & Samples

  • Compile project data to meet project requirements
  • Compile project documentation in accordance with the BMS (business management system) as assigned by Project Engineer, Project Leader and/or Technical Authority
  • Identify and seek clarification on technical and project issues from the relevant person
  • Progress work in accordance with the project plan
  • Timely identification and resolution of data issues
  • Prepare test specifications for TRESA product in accordance with current test procedures
  • Document test results and make corrections as appropriate
  • Produce System Release Notes and Delivery Notes prior to delivery
  • Assist with the delivery and assembly of TRESA systems on site
  • Carry out post-delivery corrections
  • Feedback and seek guidance from the Project Engineer, Project Leader or Technical Authority
  • Enhance working relationships both internal and external to the project team
  • Working with the Senior Data Engineer to ensure the Operational Requirements Specification complies with Hitachi ICS product design
  • Prepare and update design documents and attend design workshops
  • Good knowledge of using PC tools especially Microsoft Office
  • Capable of working on own initiative in a structured manner
  • Learning attitude with attention to detail
  • Ability to think logically with good approach to problem solving
  • Good time management skills and able to work to appropriate deadlines
  • Basic understanding of simulation systems
  • Understanding of signalling design principles
  • Understanding of railway traffic operation, particularly signalling control centres
  • Knowledge of signalling control system design, and especially data structures associated with SSI, IECC, MCS, Panels, ARS, WESTLOCK, SMARTLOCK and WESTCAD
  • Knowledge of Timetables
  • IRSE Licence of the appropriate category for current product line desirable
34

Associate Data Engineer Resume Examples & Samples

  • Contribute to determining programming approach, tools, and techniques that best meet the business requirements
  • Be pro-active and diligent in identifying and communicating design and development issues
  • Provide business analysis and develop ETL code and Hadoop scripting to meet all technical specifications and business requirements according to the established designs
  • Offer system support as part of a support rotation with other team members
  • 2+ years of systems development and analysis experience in designing, developing, implementing & maintaining applications
35

Senior Distributed Engineer, Data Platforms Resume Examples & Samples

  • Build distributed systems – work on improving and adding new functionality to ESPN’s distributed systems backbone
  • Scale the network – work on tuning and optimizing the delivery of sports data, ads data, and consumer data in a network with thousands concurrent events, unique data scalability challenges and advanced ad selection techniques
  • Keep it running – help troubleshoot data systems and application operational issues
  • Learn and grow – learn from local experts and expand your skills and responsibilities
  • Design and implement features evolving our data platform product offerings
  • Develop instrumentation/profiling tools and systems
  • First-hand experience – Have 6+ years of professional experience focusing on building and managing data distributed systems infrastructure using open source software in a large-scale environment. Experience with Java, C++ or C# is a must
  • Data Systems Enthusiast – Must have firm understanding of database systems – Data modeling, SQL query Processing and Transactions. Know how to scale systems and make them fast with experience debugging and tracing performance issues
  • Visionary -- Solid understanding of software development from design and architecture to production
  • Have a data systems toolbox – Solid understanding and working knowledge of modern operating systems, networking, and/or scalability techniques. Proven skills in scalability analysis and performance monitoring and measuring techniques. Experience with Linux based operating systems is a plus
  • Experience with AWS, Azure, Google Cloud
  • Experience with Big Data, Apache Cassandra, Kafka, Spark, ElasticSearch, etc
  • Experience with Open Source technologies such as Mesos or YARN etc
  • Bachelor’s Degree in Computer Science or related technical discipline or its equivalent
36

Engineer, Data Center Solutions Resume Examples & Samples

  • Performs analysis of overall information management systems. Assists in analysis of specific system elements, such as system software, components transactions, integration architecture, data modeling, and processes, with recommendations for appropriate changes
  • Maintains a comprehensive view of current information assets, program/project architecture, and future information needs while delivering data effectively and efficiently across projects and programs
  • Tracks and documents requirements for enterprise development projects and enhancements (e.g. architectural functional requirements)
  • Gathers information for planning and design of new or upgraded systems
  • Aids the evolution of enterprise product and system roadmaps
  • Collaborates with departments to implement improvements in processes and with cross-organizational teams to determine Business Support System/Operations Support System support for business requirements
  • Promotes the effective use of the information management systems throughout the Company
  • Other duties and responsibilities as assigned
37

Business Intelligence Data Engineer Resume Examples & Samples

  • 4+ years working in a successful business intelligence or data engineering team
  • Expert knowledge of at least one mature programming language - Ruby (and Rails), Python, Java, Go, or similar
  • Experience in data modeling concepts and implementation
  • Strong technical accomplishments in SQL, ETLs; familiarity with technologies such as Airflow is a plus
  • Experience with Linux/OSX command line, version control software (git), and general software development
  • Hadoop/HIVE, Vertica or other Big Data storage handling experience
  • Hands on experience in processing extremely large data sets
38

Engineer, Data Resume Examples & Samples

  • Analyzes, models, designs, develops and implements EDI & QNXT Data components and X12 Transaction Sets for Medicaid sites
  • Designs, develops and implements customized functionality to accommodate business processes related to EDI & QNXT Data components
  • Identifies the need for and develop new EDI & QNXT Data functionality to accommodate new business processes and procedures as they are introduced to the solution
  • Assists and mentors peers with understanding EDI & QNXT Data components, technical architecture, custom development, and operations support
  • Identifies and prescribes technical solution requirements in support of the MMS Business Development group's efforts in writing proposals and responding to RFPs and RFIs, etc
  • Represents the EDI and QNXT Data group as a new implementation lead or existing customer support lead, managing junior Integrated Solutions resources
  • 5-10 years of Medicaid, Health PAS EDI solution sets, and project management experience
39

Senior Engineer, Data Resume Examples & Samples

  • Identifies the need for and develops new EDI & QNXT Data functionality to accommodate new business processes and procedures as they are introduced to the solution
  • Assists all other Molina Medicaid groups involved in integration efforts across the practice that involve EDI & QNXT Data
  • 12 years of Medicaid, Health PAS EDI solution sets, and project management experience
40

Data Engineer Intern Resume Examples & Samples

  • To qualify, a candidate must be pursuing a bachelor’s or master’s degree in: MIS, Computer Science, Statistics, Math, IT Security, Engineering, Operations Research, Accounting or Finance (with a specific concentration in MIS), Information Systems, Information Technology, Technology Risk, Computer Engineering or related technology disciplines
  • SQL, Java, Informatica; experience with SQL server, Oracle and big data technologies a plus
  • LI-BM
41

Engineer, Data Resume Examples & Samples

  • Be the expert at moving data from A to B – both one-time movements as well as automated incremental updates. Includes data feeds to/from vendors and moving data between internal databases
  • Architect tables and database to optimize analytic performance. Includes table structure, field types, indexes, sort / distribution keys, compression, etc
  • Own our big data Analytics platform which includes improving the database design, optimizing the data flows, and ensuring reliable up-time
  • Understand all nuances of the database and the business rules associated with pulling the data accurately
  • Be one of the go-to people on the team to answer questions and validate queries. Support the technical development of teammates
  • Innate intellectual curiosity and drive for root cause analysis. Be able to creatively solve problems with the tools and resources available, when necessary
  • Be a trusted partner of IT with superior technical communication skills
  • Bachelors degree in engineering, economics, computer science (or similar)
  • Expert in query language such as SQL or equivalent
  • Expert with data wrangling tools such as Informatica, SSIS, Pentaho, or others
  • Expert with data wrangling techniques such as imputation, fuzzy matching, or others
  • Experience designing and executing ETL processes and techniques
  • Experience with database performance optimization techniques such as partitioning, indexing, or others
  • Experience with database quality assurance processes such as audit reports, error triggers, or others
  • Experience with architecting and executing automated jobs
  • Experience working on a big data platform such as AWS, Google Cloud, or Azure a plus
  • Strong technical, data transformation, and problem solving skills
  • Ability to manage multiple projects and deliver against aggressive deadlines
42

Associate Data Engineer Resume Examples & Samples

  • Gathers functional requirements, develop technical specifications, perform development and identify testing approach (unit, system, end user review and validation)
  • Design with a view of key architectural quality metrics such as performance, scalability, reliability, availability, agility and interoperability, and under oversight of more senior team members
  • Designs and develops schema (database) or document (JSON, XML…) definitions
  • Design and develops ETL jobs across multiple platforms and tools (i.e. T-SQL, SSIS, snapLogic, SaaS APIs, XSLT, etc.)
  • Collaborate with business partner and IT teams to implement and support the management of the Enterprise Integration and Business process management layer (Reporting & Analytics, HR and Finance BPs, MDM, etc.)
  • Resolves defects/bugs during QA testing, pre-production, production, and post-release patches
  • Participation in development of the integration team, contributing to documentation and reviews of methodologies, standards, and processes
  • Comprehensive internal documentation of designs and service components
  • Proactive in operations, issue prevention, and resolution of defects in response to support issues
  • 1) Bachelor's Degree or 5+ years of relevant work experience
  • 2) Experience developing DB schemas and creating ETLs
  • 3) Experience with the following languages/technologies: T-SQL, Python, SSIS, SSRS, SOAP/REST web services, XSLT
  • 4) Strong understanding of the Software design/architecture process
  • 5) Proven experience in participating in and leading projects
  • 2) Experience with the following languages/technologies: SOA, SaaS, SnapLogic or other IpaaS, Data Transformation, Workday Studio
  • 3) Experience with the design, deployment and operations of Web Services-based environments
  • 4) Experience with big data concepts and API development and consumption
  • 5) Exposure to ITIL and other related standards and industry best practices
  • 6) Solid communication skills: Demonstrated ability to explain complex technical issues to technical and non- technical audiences
  • 7) Experience with unit testing and data quality checks
43

Associate Data Engineer Resume Examples & Samples

  • Assist in end to end data on boarding and in creating a data pipeline for the end application
  • Analyse the source data to provide insights for data mapping & business rules setup
  • Support the production clients on data refresh activities
  • Develop, code & implement the data pipeline
  • Work in a high paced and rewarding environment with bleeding edge technologies and innovative concepts
  • Bachelor’s Degree with 0-2 years related IT experience
  • Must possess strong SQL & querying skills
  • Hands on experience on MySQL/Oracle/SQL Server or any relational databases preferred
  • Proficient in working with relational databases
  • Exposure to distributed systems / big data environments would be an added plus
  • Keen to learn and work with an innovative bend of mind to develop creative solutions for complex problems
  • "Self-starter" attitude
  • Ability to work closely with fellow Developers and Managers to understand requirements
44

Data Engineer Intern Resume Examples & Samples

  • Get an opportunity to work with a team of Senior Data Engineers with average 10 years of industry experience
  • Skills learned on these projects is applicable towards understanding and standing up data infrastructures for analytics purposes in his future assignments
  • Awesome and fun-loving team!
45

Configuration Engineer Data Resume Examples & Samples

  • 1 Configure IP & Data platforms
  • Coordinate with the various Chorus programmes and projects requiring IP & Data configuration work, to align with their schedule and requirements
  • Respond to incoming requests for IP & Data configuration work
  • Use standard processes to implement configuration changes across the IP & Data platforms
  • Provide peer support and cross training where needed
  • Commission new network elements, or decommission, in conjunction with the field force
  • Co-ordinate hardware/software changes
  • Allocate physical and logical resources via management tools
  • Load configuration settings and services in accordance with needs
  • Test functionality and ensure that all changes are successful, or rollback
  • Update network records in an accurate and timely fashion
  • Troubleshoot any problems, escalate if needed
  • Minimise/avoid network disruption at all times
  • Meet all deliverable deadlines
  • Update process documents when required
  • Manage work flow & relationships with Service Companies/field force
  • Provide feedback to customers & suppliers
  • 2 Cross-Functional Support
  • Provide help and assistance as appropriate to other Configuration staff, also the Assure and Performance Teams
  • 3 Business Performance
  • Proactive in identifying process improvements
  • Participate in process re-engineering projects
  • At least 5 years’ experience in operations and support of Telecommunications Systems and Platforms
  • Proven experience in configuration work including Nokia ISAM, GPON, 7450, AMS and SAM management systems, and Chorus tools FSSP, FAIMS, ICMS, and use of Windows and Linux servers
  • Formal certification in ALU/Nokia network routing certification programme, NRS1
46

Test Data Engineer Resume Examples & Samples

  • Assists with the creation and maintenance of the TDM Governance lifecycle
  • Gathers test data requirements in support of provisioning testing environments for systems under test
  • Identifies and recommends operational improvement opportunities through reporting, process and trend analysis
  • Maintains team procedures and process documentation for test data management activities
  • Manages ad-hoc test data requests to resolution
  • Manages reported test data issues to resolution
  • Produces status reports on test data management activities
  • Collaborates with project stakeholders on test data requirements and delivery
  • Proactively recommend/develop/implement test data management solutions to improve services
  • Receives mentoring from Lead and Senior TDM engineers
  • Required A Bachelor's Degree in Computer Science, MIS, or related technical degree
  • Required 2+ years of experience in analytics, preferably healthcare
  • Required 2+ years of experience in Software Development and/or Quality Engineering and/or Business Analysis
  • Preferred 2+ years of experience in working with Healthcare Insurance test data
  • Intermediate Demonstrated interpersonal/verbal communication skills
  • Intermediate Ability to work in a fast paced environment with changing priorities
  • Intermediate Ability to effectively present information and respond to questions from peers and management
  • Intermediate Ability to multi-task
  • Intermediate Ability to work within tight timeframes and meet strict deadlines
  • Intermediate Demonstrated organizational skills
  • Intermediate Demonstrated time management and priority setting skills
  • Intermediate Ability to analyze information and covert related activities into a comprehensive work plan
  • Intermediate Ability to implement process improvements
  • Intermediate Demonstrated customer service skills
  • Required Intermediate Microsoft Word
  • Required Intermediate Microsoft PowerPoint
  • Required Intermediate Microsoft Outlook
  • Required Beginner Microsoft Visio
  • Preferred Intermediate Healthcare Management Systems (Generic) Must be familiar with Software Development and SDLC
  • Required Beginner SQL Server System Ability to determine the best approach for testing applications and identifying data requirements and should also be familiar with how to diagnose and resolve problems in the creation and running of automation scripts
  • Preferred Intermediate Oracle Database Management System (DBMS) Ability to interface with multiple teams in order to design a suitable workflow for the enterprise
  • Preferred Beginner PL SQL Must be familiar with relational databases (Oracle, Access, SQL Server) to create and review databases, queries, and reports as required
47

Associate Data Engineer Resume Examples & Samples

  • Partner with various parts of the organization to build a working knowledge of the organization, business, processes, and its customers
  • Learn and utilize tools such as Informatica, B2B, PL/SQL, Hadoop, etc.to develop data assets that support organizational decision making via prototyping, data discovery, profiling, etc
  • Solve a range of core business and technical questions through data analysis
  • Work is guided by more senior members of the team
  • Desired majors include, but are not limited to: Computer Science, Engineering, IT, Management Information Systems, Data Analytics, Applied Mathematics, and Business
  • Prefer working knowledge of ETL process and experience with SQL
48

Data Ingestion Engineer Resume Examples & Samples

  • Strong knowledge base in Java, J2EE, Microservice, Kafka, Hadoop, Spark, Ranger, Knox and big data technologies
  • Mentoring the Jr. Developers and achieve all the technology goals
  • Working with various cross -functional teams to deliver robust technology solutions
  • Reduce technical debt and provide inputs to the product backlog grooming sessions
  • Master in Computer Science with 6 years of experience or Bachelor in Computer Science with 8 years of experience
  • Experience working with complex software in a parallel processing environment gained through a combination of academic studies and work experience
  • Experience in the following technologies
  • Kubernetes
  • Elastic Search
  • Confluent Kafka Connect
  • Hadoop, HDFS
49

Engineer, Data Resume Examples & Samples

  • Collaborate with our stakeholders, DBAs and software engineers to refine project scope and definition
  • Design and develop ETL data and event driven packages
  • Utilize ETL and Data Warehouse development best practices
  • Understand the business operations and processes on assigned projects
  • Create and maintain strategic documentation in support of the Data Warehouse
  • Assist in the design and development of the Data Warehouse
  • Design and maintain effective business intelligence reports by retrieving, analyzing, and transforming data
  • Work with our System Administrators and other Software Engineers in trouble shooting and resolving complex problems within our SaaS platform
  • Work across both project roadmap initiatives as well as production systems support
  • Production Systems Support and on-call dues maybe required in this role
  • Must be presently authorized to work in the U.S. without a requirement for work authorization sponsorship by our company for this position now or in the future
  • Must be committed to incorporating security into all decisions and daily job responsibilities
  • 5+ years' of experience designing databases
  • 2+ years' of experience with data-driven and event-driven ETL processes
  • 5+ years' of experience with SQL and Stored Procedure development
  • 2+ years' of experience with Unix Shell scripting
  • 2+ years' of experience working with MySQL or MariahDB
  • 3+ years' of experience designing and maintaining business intelligence reports
  • Must have strong communication skills both written and verbal
  • Must possess the ability to work in a dynamic environment
  • Must possess initiative, results-oriented drive and a solid work ethic requiring minimal direction
  • Must possess effective analytical, problem-solving and decision-making skills
  • Must possess resiliency and flexibility in the face of changing priorities and requirements
50

Data Engineer Intern Resume Examples & Samples

  • The Data Integration Intern will have the unique opportunity to support development of methods and techniques to improve data integration and adoption of smart grid technologies, including renewable energy and advanced metering infrastructure for market operations
  • The Intern will integrate data into our cloud computing platform
  • He/she will receive mentorship and guidance throughout their internship
  • Focuses on cloud computing process specifications and data registry standardization to improve the value of smart grid technologies and market knowledge to grid operators
  • Ensure that all cloud computing process specifications are written with specific focus on high availability and ease of use for our users
  • Shows creativity in the design and ability to identify, find, work with and/or develop scalable analytical and data visualization techniques
  • Challenges the quality of data and can validate modeling results
  • Identifies hidden issues and unclear requirements for developing a cloud-based analytical solution
  • Clarifies distinctions and definitions and directs assessments around data integration and effective communication of data availability
  • Fast learner and comfortable experimenting with innovations to data integration tools and methods
  • Pursuing a B.S. degree in a data-centric field (Economics, Computer Science or other science field), Information Systems, Information Processing or engineering-related curricula, OR an equivalent combination of education and experience
  • 1-2 years of experience in performing complex data intensive analysis and data manipulation
  • Familiarity with SQL and RDBMS concepts (SQL Server, Oracle, MySQL, PostgreSQL, etc.)
  • Familiarity with scripting languages such as Python, bash and command-line
  • Strong proficiency with Microsoft Office Excel
  • Working with, extending and defining data interchange standards and best practices
  • Excellent information and data analysis skills
  • Excellent communication, facilitation and elicitation skills - Written and verbal communication, including technical writing skills
  • Sound planning and organizational skills
51

Data Engineer Intern Resume Examples & Samples

  • Build a monitoring tool to automatically monitor business and data warehousing status
  • Build a push reporting tool automatically push reports to stakeholders
  • Code refactor and improve the code base
52

Business Intelligence Data Engineer Resume Examples & Samples

  • Production of data workflows and Industrialisation of tactical data projects
  • Monitoring and support of data analytics infrastructure
  • Liaise with data providers to solve data issues
  • Assist management of the business by blending, extracting and analysing data
  • Contribute to the implementation of improvements to the data processing systems: e.g. analysis and validation of feeds etc
  • Facilitate good communication flow with GCA team globally
  • Proof of concept data projects
  • Relationship with other departments - GCA teams globally, IT teams and Marketing and Trading teams
  • Bachelor or Master in Computer Science or Engineering
  • Interest in Data Science
  • Good understanding of Computer Science: algorithms, complexity, etc
  • Experience with a few programming languages (object orientated eg Python/ Java/C++)
  • Strong knowledge of SQL and database modelling
  • An excellent track record of data processing and analysis
  • Wider IT culture & interest: OS, parallelization, network, machine learning, databases
  • Strong analytical and interpersonal skills as well as reporting capabilities
  • Strong communication and presentation skills both verbal and written
  • Proactive & innovative approach to dealing with challenges and finding solutions
  • Accuracy and absolute attention to detail required
  • Effective problem solver and consensus builder
  • Fluency in English is mandatory
  • Available for a training period abroad (in either London or Paris)
53

Service Engineer Data Analyst Resume Examples & Samples

  • Gain end to end understanding of operational processes and data flow for the business
  • Make recommendations to improve development processes and maintain high standards of data quality
  • BS or MS in computer science, a related field, or equivalent experience. MBA Preferred
  • 5+ years of information architecture, and / or data analytics
  • 3+ years of report development (Excel, PowerBI, SSRS, etc)
  • Solid UML understanding with the ability to efficiently apply principles for architecting at scale
  • Excellent technical design, problem solving and debugging skills across a wide range of platforms, such as SharePoint, TFS/ VSTS, Aras, SAP and other PLM/ ERP systems
  • Strong focus on solving problems as a team with equally strong IC Skills
  • Capability to guide others on best software development practices
  • Knowledge on good modern architectural design patterns including Cloud and Mobile
  • Performs well under ambiguity and pressure
  • Self-driven and self-sufficient delivery skills