Senior Data Engineer

Location:

Work Mode:

1. 5-14 Years of in Big Data & Data related technology experience
2. Expert level knowledge and experience in Apache

   Spark

    (Advance Concepts i.e. RDDs, DataFrames, fault tolerance, Spark internals, Catalyst optimizer and AQE).
3. Hands on programming with

   Scala Or Java.

4. Understands exception handling and its practical applications.
5. Proficient in using Python for data engineering and automation.  
6. Experience with building stream-processing systems, using technologies such as Spark-Streaming
7. Experience with integration of data from multiple data sources such as RDBMS (SQL Server, Oracle), ERP, Files
8. Good understanding of SQL queries, joins, stored procedures, relational schemas
9. Knowledge of ETL techniques and frameworks
10. Performance tuning of Spark Jobs
11. Experience with native Cloud data services

    Azure/AWS

12. Ability to lead a team efficiently
13. Experience with designing and implementing Big data solutions
14. Practitioner of AGILE methodology

WE OFFER

1. Opportunity to work on technical challenges that may impact across geographies
2. Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
3. Opportunity to share your ideas on international platforms
4. Sponsored Tech Talks & Hackathons
5. Possibility to relocate to any EPAM office for short and long-term projects
6. Focused individual development
7. Benefit package:

•         Health benefits, Medical Benefits•         Retirement benefits•         Paid time off•         Flexible benefits

1. Forums to explore beyond work passion (CSR, photography, painting, sports, etc.