⦁ At least 8+ years of experience and strong knowledge in Scala programming language.
⦁ Able to write clean, maintainable and efficient Scala code following best practices.
⦁ Good knowledge on the fundamental Data Structures and their usage
⦁ 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 Python, 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.