Job Description

Job Title: DataOps Engineer (AWS)
Experience: 5-7 Years
Employment Type: Full-Time
Work Mode: Remote
Location: India
Job Summary
We are looking for a skilled DevOps + Data Engineer (AWS) to design, build, and manage scalable cloud infrastructure and data platforms. The ideal candidate will have strong experience in AWS, Terraform, CI/CD, and ETL/data pipelines, and will work closely with data engineers, analytics teams, and application developers to ensure reliable, secure, and high-performing systems.
Key Responsibilities

• Design, deploy, and manage AWS cloud infrastructure using Infrastructure as Code (Terraform)
• Build, maintain, and optimize ETL/data pipelines for large-scale data processing
• Automate infrastructure provisioning, deployment, and monitoring
• Develop and manage CI/CD pipelines for data and application workloads
• Ensure high availability, scalability, security, and cost optimization of AWS environments
• Support data ingestion, transformation, and orchestration workflows
• Monitor systems, troubleshoot issues, and improve system reliability
• Implement logging, monitoring, and alerting for infrastructure and data pipelines
• Collaborate with Data Engineers, Analytics teams, and DevOps teams
• Enforce security best practices, IAM policies, and compliance standards

Required Skills & Qualifications

• 5-7 years of experience in DevOps, Data Engineering, or Cloud Engineering
• Strong hands-on experience with AWS services (EC2, S3, RDS, Lambda, EMR, Glue, Redshift, etc.)
• Solid experience with Terraform for infrastructure automation
• Experience building and maintaining ETL/data pipelines
• Proficiency in Python and/or Shell scripting
• Experience with CI/CD tools (GitHub Actions, Jenkins, GitLab CI, etc.)
• Strong understanding of Linux systems and networking fundamentals
• Experience with monitoring tools (CloudWatch, Prometheus, Grafana, ELK, etc.)

Preferred / Nice-to-Have Skills

• Experience with Airflow, AWS Glue, or similar orchestration tools
• Knowledge of Docker and Kubernetes
• Experience with data warehouses and analytics platforms
• Understanding of security best practices and data governance
• Exposure to cost optimization and performance tuning on AWS

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