Candidate should be able to:
* Analyze, re-architect, and re-platform on-premise data warehouses to data platforms on AWS cloud using AWS or 3rd party services.
* Design and implement data engineering, ingestion, and curation functions on AWS cloud using AWS native or custom programming.
* Design and build production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala.
* Perform detailed assessments of current state data platforms and create an appropriate transition path to AWS cloud.
*Design, build and operationalize large-scale enterprise data solutions and applications using one or more AWS data and analytics services in combination with 3rd parties - Spark, EMR, DynamoDB, RedShift, Kinesis, Lambda, Glue, Snowflake.
Candidate should have:
* Has experience in any of the following AWS Athena and Glue Pyspark, EMR, DynamoDB, Redshift, Kinesis, Lambda, Snowflake
* Bachelors Degree in Comput...