Key Responsibilities
ETL & Pipeline Development: Design and optimize scalable ETL batch pipelines in AWS for high performance and reliability.
Orchestration: Manage data workflows using tools like AWS Glue, MWAA, or Step Functions.
Data Processing: Develop large-scale processing jobs using PySpark while ensuring data quality and integrity.
Infrastructure as Code (IaC): Automate and manage AWS infrastructure using Terraform.
Containerization: Deploy and manage applications using Amazon EKS and Docker.
Required Skills & Qualifications
AWS Services: Hands-on expertise with Glue, S3, IAM, KMS, SNS, Athena, Lambda, SQS, CloudWatch, and EC2.
Programming: Proficiency in PySpark for complex data transformations.
Migration: Proven experience moving data from on-premises systems to AWS.
DevOps Tools: Skilled in Terraform for IaC and Docker/Containers for application packaging.
📌 AWS Data Engineer _Pune/Hyderabad,_5 to 8 yrs (India)
🏢 Tata Consultancy Services
📍 India
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