JD for Senior Data Engineers.
Data Engineering
- Basic understanding of Data landscape (ETL, Data processing, Data Storage, Reporting)
- Working experience in Spark mandatory
- Experience in RDBMS
- Basics of Data Modeling and Data Architecture
- Data Testing - Unit Testing, Functional Testing and end to end Data Validation
Performance Optimization
Nice to have: Scala, Hadoop & Hive
Behavioral Competency
- Excellent Communication and collaboration skills in a geographical distributed environment
- Strong interpersonal skills and proven track record of performing well in a team-oriented environment
- Analytical mind with problem-solving aptitude
- Result Oriented and focus on end-results
- Innovation skills
- should have Design thinking and user-centric mindset
Exp (4 to 6 years)
