Data Engineer

You should have experience in designing and building serverless data lake solutions using a layered components architecture. This includes expertise in Ingestion, Storage, processing, Security & Governance, Data cataloguing & Search, and Consumption layer. Proficiency in AWS serverless technologies like Lake formation, Glue, Glue Python, Glue Workflows, Step Functions, S3, Redshift, Quick sight, Athena, AWS Lambda, and Kinesis is required. It is essential to have hands-on experience with Glue. You must be skilled in designing, building, orchestrating, and deploying multi-step data processing pipelines using Python and Java. Experience in managing source data access security, configuring authentication and authorization, and enforcing data policies and standards is also necessary. Additionally, familiarity with AWS Environment setup and configuration is expected. A minimum of 6 years of relevant experience with at least 3 years in building solutions using AWS is mandatory. The ability to work under pressure and a commitment to meet customer expectations are essential traits for this role. If you meet these requirements and are ready to take on this challenging opportunity, please reach out to hr@Stanratech.com.,