Job Description
Key Responsibilities
nETL & Pipeline Development: Design and optimize scalable ETL batch pipelines in AWS for high performance and reliability.
nOrchestration: Manage data workflows using tools like AWS Glue, MWAA, or Step Functions.
nData Processing: Develop large-scale processing jobs using PySpark while ensuring data quality and integrity.
nInfrastructure as Code (IaC): Automate and manage AWS infrastructure using Terraform.
nContainerization: Deploy and manage applications using Amazon EKS and Docker.
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nRequired Skills & Qualifications
nAWS Services: Hands-on expertise with Glue, S3, IAM, KMS, SNS, Athena, Lambda, SQS, CloudWatch, and EC2.
nProgramming: Proficiency in PySpark for complex data transformations.
nMigration: Proven experience moving data from on-premises systems to AWS.
nDevOps Tools: Skilled in Terraform for IaC and Docker/Containers for application packaging.
📌 AWS Data Engineer (Pune)
🏢 Tata Consultancy Services
📍 Pune
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