AWS Data Engineer
Summary
Designs and builds AWS-based data lakes, warehouses, and ingestion pipelines using Glue, Redshift, S3, Lambda, EMR/Spark, Kinesis, and Athena; writes Python/SQL and scripts in Shell/Scala.
7 plus years of experience in data engineering, with at least 3 years in technical leadership or lead engineer role. Extensive hands-on experience with AWS data services Glue, Redshift, S3, Lambda, EMR/Spark, Kinesis, Athena, RDS, API Gateway, etc. Proficient in programming languages such as Python and SQL. Experience with Shell scripting and Scala is a plus. Strong experience designing, implementing, and managing data lakes, data warehouses, and data ingestion pipelines on AWS. Proven experien…