Business Segment: Digital Information Technology & Digital Thread
Location(s): India ; Bangalore
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 Engineer will be a part of the Digital Data Lake team and will be responsible for developing ETL solutions to migrate critical ERP Finance data from GE Business platforms to the Data Lake platform for analytics and reporting. The candidate should have strong expertise with database design, analysis, scripting and data engineering with a focus on HDFS, Talend, real-time replication, Kafka, Spark, Greenplum & PostgreSQL development in a Finance ERP domain.
Essential Responsibilities: • Design ELT/ETL Strategy, Logic for the Finance modules within the Digital Data Lake • Analyze Finance data models, create and optimize data ingestion processes for the Data Lake through ETL technologies like data replication and scripting with Greenplum, Talend, etc. • Works closely with teams and individuals on HDFS, Talend, Kafka, Spark, Greenplum, PostgreSQL scripting, has experience with real-time data replication, Data Quality and profiling to ensure quality of extracted data. • Understand and work with reporting tools like OBIEE & Tableau to drive an internal suite of products for the Finance community • Ability to query data both in source and destination and anticipate corrective measures; measure and publish data migration metrics on a sustainable basis • Strong interpersonal skills, with ability to professionally interact with a diverse blend of personalities to reach resolution and maintain strong relationships • Ensures that plans for assigned applications integrate effectively with other aspects of the technical infrastructure • Assists in developing project plan and cost estimations.
Qualifications/Requirements: • Bachelor's Degree in Computer Science, Finance or Industrial or Mechanical Engineering • Prior experience in Finance domain with Oracle/SAP ERP • Minimum 2 years of work experience in database scripting, modeling and design. • Strong experience in ETL and Big Data Technologies like HDFS, Talend, Greenplum, PostgreSQL • Prior experience with Analytics and Reporting including OBIEE, Tableau, Python, R
Desired Characteristics: • Prior experience and knowledge of General Ledger, Accounts Payables, Receivables, Fixed Assets etc. within financial systems • Can communicate complex issues effectively to internal staff and customers • Manages his/her own daily activities of issue resolution and communication across project execution teams in order to deliver projects on-time, and on-budget • Work with teams across the globe • Work effectively with project managers and client stakeholders to understand and deliver on project requirements and deadlines #DTR
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