Design, build, and manage AWS cloud infrastructure and data platforms. Develop ETL/data pipelines, automate deployments, and ensure system reliability.
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
Top Skills
AWS
Ci/Cd
Cloudwatch
Elk
ETL
Grafana
Linux
Prometheus
Python
Shell Scripting
Terraform
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