Lead Data Engineer

• Must have exp in AWS’ Glue ETL, RedShift, Lambda, EMR Pyspark • 6-7+ years as a Python, PySpark, SQL developer; building scalable ETL applications and data warehouses• Advanced understanding of both SQL and NoSQL technologies, to preferably include AW Redshift• Advanced proficiency programming in PySpark and Python ETL modules is required.• Experience in working with and processing large data sets in a time-sensitive environment while minimizing errors• Hands-on experience working with big data technologies (Hadoop, Hive, Spark, Kafka)• Hands-on experience working within the AWS and AWS tools (S3, Glue, EMR, Athena, Redshift)