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 Computer Science, Information Technology or other relevant fields