7+ years of Experience in the Data Engineering field Experience working with Hadoop and Big Data processing frameworks (Hadoop, Spark, Hive, Airflow etc.) Experience with relational SQL and at least one programming language such as Python, Scala, or Java Experience working in AWS environment primarily EMR, S3, Kinesis, Redshift, Athena, etc. Experience with source control tools such as GitHub and related CI/CD processes. Experience working with Big Data streaming services such as Kinesis, Kafka, etc. Experience working with NoSQL data stores such as HBase, DynamoDB, etc. - provided by Dice