1. 6+ Years of in Big Data & Data related technology experience 2. Expert level understanding of distributed computing principles 3. Expert level knowledge and experience in Apache Spark 4. Hands on programming with Python 5. Proficiency with Hadoop v2, Map Reduce, HDFS, Sqoop 6. Experience with building stream-processing systems, using technologies such as Apache Storm or Spark-Streaming 7. Experience with messaging systems, such as Kafka or RabbitMQ 8. Good understanding of Big Data querying tools, such as Hive, and Impala 9. Experience with integration of data from multiple data sources such as RDBMS (SQL Server, Oracle), ERP, Files 10. Good understanding of SQL queries, joins, stored procedures, relational schemas 11. Experience with NoSQL databases, such as HBase, Cassandra, MongoDB 12. Knowledge of ETL techniques and frameworks 13. Performance tuning of Spark Jobs 14. Experience with native Cloud data services Azure databricks 15. Ability to lead a team efficiently 16.



Experience with designing and implementing Big data solutions 17. 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. Prospect 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 perks 1. Forums to explore beyond work passion (CSR, photography, painting, sports, etc. Thanks

📌 Azure Data Engineer (Pune)
🏢 Mytech
📍 Pune