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Sr Data Engineer

  • GE Digital
  • Experienced
  • Posted 11/21/2017 8:51:01 AM
  • 3028427
  • Job Function: Digital Technology
  • Business Segment: Digital Technology
Location(s): Hungary; Budapest

About Us:
GE is the world's Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry.

Role Summary:
The Data Engineering team helps solve our customers' toughest challenges; making flights safer, power cheaper, and oil & gas production safer for people and the environment by leveraging data and analytics. The Lead Data Engineer will work with the team to create state-of-the-art data and analytics driven solutions, working across GE to drive business analytics to a new level of predictive analytics while leveraging big data tools and technologies.

Essential Responsibilities:
The Sr Data Engineer, they will be part of a data engineering or cross-disciplinary team on commercially-facing development projects, typically involving large, complex data sets. These teams typically include statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert with partners in GE business units.
Potential application areas include remote monitoring and diagnostics across infrastructure and industrial sectors, financial portfolio risk assessment, and operations optimization. Be Proficient in at least one data modality (e.g., text, numeric, image), conversant in more than one. Implement Data warehouse & Big/Small data designs with automated MDM and data quality capabilities.
Demonstrate proficiency at industry standard data modeling tools (e.g., ERWin, ER Studio, etc.). Integrate domain data knowledge into development of data requirements. Look across multiple systems, understands the purpose of each system and defines data requirements by systems. Identify downstream implications of data loads/migration (e.g., data quality, regulatory, etc.)

  • Bachelor's Degree in Computer Science, Information Technology or equivalent (STEM) with strong experience as data engineer.
  • Strong experience using Hadoop ecosystem, Map-Reduce, Spark, NoSQL (HBase, MongoDB etc.), Cassandra is required
  • Strong experience using Scripting (Pig, Python, Perl, etc.) is required
  • Strong experience with Core Java, Java WebServices development SOAP, REST APIs
  • Experience working on Database(s), SQL is required

Desired Characteristics:
Technical Expertise:
  • Identification of data sources/flows and determination of respective target schemas within data lake based on data domains and the data analytics/reporting requirements.
  • Data analysis and profiling for the ingested data and design the integration and distribution layers’ conceptual data models.
  • Creation of Logical and Physical data models based on data definitions and the results of data analysis.
  • Creation of Data Mapping Specifications (DMS) with BUS matrix for standard dimensions, subject area descriptions and business processes associated with each model. Physicalizing DMS using meta data structures defined within the data lake for data lineage.
  • Deriving Data Quality (DQ) rules and design the mapping rule tables and/or exception tables with appropriate logging mechanisms.
  • Determination of data load frequencies and design the ELT job references on the job control meta data structures.
  • Analyzing ELT scripts for data load performance and recommend optimization techniques to improve the performance and scalability of the solutions.

Domain Knowledge:
  • Expertise in ERP and finance modules including AP, AR, GL, Cash, Order Management, Accounting etc; Oracle and SAP functional knowledge is preferred

Locations: Hungary; Budapest

GE offers a great work environment, professional development, challenging careers, and competitive compensation.  GE is an Equal Opportunity Employer.  Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

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