Job highlights

- Hands on experience in AWS serverless technologies such as Lake formation,Glue,Glue Python,Glue Workflows,Step Functions,S3,Redshift,Quick sight,Athena,AWS Lambda,Kinesis. Must have experience in Glue
- Minimum 6 years of relevant experience with
- Experience in design,build,orchestration and deploy multi-step data processing pipelines using Python and Java . .
- Experience in designing and building a serverless data lake solution using a layered components architecture including Ingestion, Storage, processing, Security & Governance, Data cataloguing & Search, Consumption layer.
- Hands on experience in AWS serverless technologies such as Lake formation, Glue, Glue Python, Glue Workflows, Step Functions, S3, Redshift, Quick sight, Athena, AWS Lambda,



Kinesis. Must have experience in Glue. Experience in design, build, orchestration and deploy multi-step data processing pipelines using Python and Java Experience in managing source data access security, configuring authentication and authorisation, enforcing data policies and standards.

Experience in AWS Workplace setup and configuration.

- Minimum 6 years of relevant experience with atleast 3 years in building solutions using AWS

- Ability to work under pressure and commitment to meet customer expectations

📌 Data Engineer (Noida)
🏢 Stanra Tech Solutions
📍 Noida