· Proven experience with large data sets and related technologies – SQL, NoSQL, Google / AWS Cloud, Hadoop, Hive, Spark
· Excellent understanding of computer science fundamentals, data structures, and algorithms
· Data pipeline software - Airflow, RJ Metrics, Segment, Amazon Data Pipeline, Apache Pig
· ETL software’s - Amazon RedShift, CA Erwin Data Modeler, Oracle Warehouse Builder, SAS Data Integration Server, Pentaho Kettle, Apatar
· Hands-on experience and knowledge of the Data Lake technology
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