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About the role
Responsibilities: Consult, Design, build and operationalize large scale enterprise data solutions using one or more of AWS data and analytics services in combination with 3rd parties - Spark, EMR, DynamoDB, RedShift, Kinesis, Lambda, Glue, Snowflake and Databricks. Analyse, re-architect and re-platform on-premises data stores/ Databases to modern data platforms on AWS cloud using AWS or 3rd party services. Design and build production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala. Design and optimize data models on AWS Cloud using AWS data stores such as Redshift, DynamoDB, RDS, S3 Design and implement data engineering, ingestion and curation functions on AWS cloud using AWS native or custom programming. Perform detail assessments of current state data platforms and create an appropriate transition path to AWS cloud as part of customer consultation and business proposals. Participate in client design workshops and provide trade-offs and recommendations towards building solutions. Mentor other engineers in coding best practices and problem solving
AWS, Java, Python, Shell Scripting, Scala, Communication
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