- At least 8+ years of experience in designing and developing large scale, distributed data processing pipelines using Apache Spark and related technologies.

- Having expertise in Spark Core, Spark SQL and Spark Streaming.

- Experience with Hadoop, HDFS, Hive and other BigData technologies.

- Familiarity with Data warehousing and ETL concepts and techniques

- Having expertise in Database concepts and SQL/NoSQL operations.

- UNIX shell scripting will be an added advantage in scheduling/running application jobs.

- At least 8 years of experience in Project development life cycle activities and maintenance/support projects.

- Work in an Agile environment and participation in scrum daily standups, sprint planning reviews and retrospectives.

- Understand project requirements and translate them into technical solutions which meets the project quality standards

- Ability to work in team in diverse/multiple stakeholder environment and collaborate with upstream/downstream functional teams to identify, troubleshoot and resolve data issues.

- Strong problem solving and Good Analytical skills.

- Excellent verbal and written communication skills.

- Experience and desire to work in a Global delivery environment.

- Stay up to date with new technologies and industry trends in Development.