Overview
Data Engineer role within Genpact's Application Development JAVA practice, building and supporting data pipelines and ETL solutions for business domains.
What you'll do
- Develop a thorough understanding of data definitions, domain values, data relationships, business rules, sources, and data integration used in the business domain.
- Develop and test programs to load, unload, transform and aggregate data from and into data stores.
- Build data pipelines to link data processing programs together into jobs.
- Set up jobs to run daily, weekly and monthly under scheduler control.
- Incorporate programs into automated CI/CD build and test pipelines.
- Work with Data Analysts to perform data analysis, data profiling and data sourcing in relational and Big Data database environments to implement solutions to business requirements.
- Support business analysts and developers with data subject expertise, query building and optimization.
- Translate business requirements into data models and ETL design specifications.
- Assist in ETL development, testing and troubleshooting of ETL issues.
- Troubleshoot data issues and work with data providers for resolution.
- Perform L3 support when needed.
What you'll need
- Bachelors in Computer Engineering, Computer Science, Information Technology, or Masters in Software Engineering.
- Oracle Certified Professional certification (Oracle) listed as a certification.
- Agile Methodology and Data Engineering skills.
- English language proficiency, Proficient - C2.
Nice to have
- Ability to design a database plant consisting of a number of end-to-end data flows.
- Strong knowledge of relational databases and data modeling.
- Strong SQL query-writing skills.
- Strong Azure knowledge.
- Strong knowledge of Linux shell and experience with coding Python programs.
- Strong analytical, profiling and troubleshooting skills.
- Strong knowledge of Big Data/Hadoop platform.
- Proficient in ETL tools, data integration and data conversions.
- Financial industry technology experience and knowledge of financial services data.
- Good verbal and written communication skills.
Details
- Location: 1401-GIPL: Prestige Technology Park IV, Bangalore.
- Work mode: Hybrid.
- Work shift: Day Job (India).
- Job type: Regular.
Read the full description and apply on the company’s own careers page.