Data Engineer

Mission:

• Build new data pipelines, identifying existing data gaps, and providing automated solutions to deliver advanced analytical capabilities and enriched data to applications that are supporting the operations team.


• Responsible for obtaining data from the System of Record and establishing real-time data feed to provide analysis in an automated fashion.

• Working experience on tools like Hive, Spark, HBase, Sqoop, Impala, Kafka, Flume, Oozie, MapReduce, etc.


• Hands on programming experience in perhaps Java, Scala, Python, or Shell Scripting, to name a few


• Experience in end-to-end design and build process of Near-Real Time and Batch Data Pipelines


• Strong experience with SQL and Data modelling


• Experience working in Agile development process and deep understanding of various phases of the Software Development Life Cycle


• Experience using Source Code and Version Control systems like SVN, Git, etc.


• Deep understanding of the Hadoop ecosystem and strong conceptual knowledge in Hadoop architecture components


• Self-starter who works with minimal supervision and the ability to work in a team of diverse skill sets


• Ability to comprehend customer requests and provide the correct solution


• Strong analytical mind to help take on complicated problems


• Desire to resolve issues and dive into potential issues

• Good Programming background


• Strong Hadoop/ Big Data experience


• Python, Spark/Scala, Kafka expertise


• Strong knowledge in Spark and Kafka (does not need to be Sr. level but understand how it works and proven ability to deliver)


• Sr. Level experience

• Prior Banking experience


• Strong communication