Data Engineer

You will be responsible for designing and building a serverless data lake solution using a layered components architecture. This includes Ingestion, Storage, processing, Security & Governance, Data cataloguing & Search, Consumption layer. Your key responsibilities will include: - Hands-on experience in AWS serverless technologies such as Lake formation, Glue, Glue Python, Glue Workflows, Step Functions, S3, Redshift, QuickSight, Athena, AWS Lambda, Kinesis. - Must have experience in Glue. - Design, build, orchestration, and deploy multi-step data processing pipelines using Python and Java. - Managing source data access security, configuring authentication and authorization, enforcing data policies and standards. - Experience in AWS Environment setup and configuration. - Minimum 6 years of relevant experience with at least 3 years in building solutions using AWS. - Ability to work under pressure and commitment to meet customer expectations. If any additional details of the company are provided in the job description, please provide them here.,