Description

Job Description

  • Must have minimum 5+ years of experience as AWS Data Engineer
     
  • Nice to have AWS Certified Data Analytics Specialty certification
     
  • Experience in designing and implementing data pipelines using AWS Glue and orchestration using Airflow for batch, streaming (Kafka/Kinesis) and API ingestion patterns
     
  • Work closely with DevOps engineer to support implementation of deployment of data engineering code using  CI/CD pipelines such as  CodePipeline and CodeDeploy and enterprise Git
     
  • Experience in designing and implementing streaming data pipelines using AWS MSK, AWS SQS, Amazon Kinesis
     
  • Experience working on scripting language preferably Python using Cargill standard tools such as AWS Glue (Spark)
     
  • Experience in designing and implementing API ingestion pipeline using AWS API Gateway
     
  • Work with Solution architect to enhance the data ingestion framework using AWS native services to make it metadata driven supporting multiple ingestion patterns such as batch processing, streaming data and API integration.

Key Skills
Education

Any Graduate

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