DataOps Engineer (AWS)

NorthBay Solutions; Remote; AED 293,000 - 441,000; Full time

Job summary

A leading technology firm seeks a skilled DataOps Engineer (AWS) to design and manage scalable cloud infrastructure and data platforms. Candidates should have strong experience in AWS, Terraform, CI/CD, and handling ETL/data pipelines. Responsibilities include automating infrastructure, ensuring high performance and reliability, and collaborating with various teams. Ideal for applicants with 5–7 years of relevant experience, this remote position offers a chance to work with innovative technology in a dynamic environment.

Qualifications

• 5–7 years of experience in DevOps, Data Engineering, or Cloud Engineering.
• Strong hands-on experience with various AWS services.
• Solid experience with Terraform for infrastructure automation.

Responsibilities

• Design, deploy, and manage AWS cloud infrastructure using Terraform.
• Build and optimize ETL/data pipelines for large-scale processing.
• Develop and manage CI/CD pipelines for various workloads.

Skills

AWS services

Terraform

CI/CD

ETL/data pipelines

Python

Shell scripting

Linux systems

Monitoring tools

Tools

AWS

CloudWatch

Prometheus

Grafana

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‑performant 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.