Job Title: Senior AWS Data & DevOps Engineer

Location: Bangalore (Hybrid)

Experience: 5+ Years

The Role

We are looking for a hybrid Data & DevOps Engineer to bridge the gap between cloud infrastructure and data platforms. You will manage high-availability AWS environments while building scalable ETL pipelines using AWS Glue (PySpark).

Core Responsibilities

Infrastructure: Design and manage secure, scalable AWS environments (VPC, EC2, S3, RDS, IAM).
Data Engineering: Develop AWS Glue ETL jobs (PySpark), manage Data Catalogs, and optimize S3 Data Lakes.
Automation: Build CI/CD pipelines and manage Infrastructure as Code (Terraform/CDK).
Containers: Package and deploy workloads using Docker and EKS/ECS.
Operations: Implement CloudWatch monitoring, troubleshoot Glue job failures, and optimize for cost/performance.

Required Qualifications

5+ years in AWS/DevOps or Cloud Engineering.
Expert PySpark/Python skills for AWS Glue development.
Strong IaC experience (Terraform, CloudFormation, or CDK).
Deep AWS Knowledge: S3, IAM, VPC, and CloudWatch.
CI/CD Tools: GitHub Actions, Jenkins, or GitLab CI.

Recro

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