AWS Cloud Data Platform Engineer

Hiring

Role: Data Engineer

Location: Pune (Hybrid)

Type: Full Time

Role Overview:

As an Engineer in the IWBP Platform Engineering & Automation team at CLIENT, you will contribute to the design, development, and delivery of infrastructure automation solutions across global environments. This role requires hands-on experience with Python, Terraform, and AWS, and a strong foundation in DevOps practices. You will work closely with senior engineers and stakeholders to implement scalable, secure, and compliant automation workflows that align with CLIENTs global engineering standards.

Key Responsibilities:

We are currently seeking a motivated engineer to join our team in the role of Infrastructure Automation & DevOps Engineer.

In this role you will:

• Contribute to automation development using Python, Terraform, Docker, Jenkins, AWS CODE DEPLOY, Digital Nexus tools.
• Support infrastructure automation initiatives across regions under the guidance of technical leads
• Collaborate with cross-functional teams within CLIENT infrastructure to ensure smooth integration and delivery
• Participate in requirement analysis, solution design, development, testing, and deployment of automation solutions
• Investigate technical challenges, propose solutions, and adopt best practices from the global engineering community
• Follow and help implement technical standards, governance models, and automation tooling across the engineering lifecycle
• Work within a scrum team to support the technical roadmap and service delivery goals
• Build and maintain CI/CD pipelines and infrastructure-as-code modules
• Demonstrated hands-on experience on cloud environments , Git hub, and Jenkins in a production environment

Requirements:

To be successful in this role you should meet the following requirements:

• 812 years of experience in infrastructure automation using Python, Shell scripting, Ansible, Terraform, and Cloud SDKs
• Working knowledge of AWS services and cloud-native architecture principles, SDLC governance and implementation using gitops workflow
• Understanding of cloud infrastructure, networking, security, and data management fundamentals
• Experience with DevOps tools and practices including CI/CD, configuration management, and automated testing
• Strong analytical, troubleshooting, and communication skills
• Exposure to AI/ML concepts or interest in applying them to automation is a plus
• Ability to work independently on assigned tasks and collaborate effectively within a team
• Awareness of financial services industry standards, compliance, and security best practices
• Preferred certified cloud engineer AWS/GCP. Have worked on observability etc.
• Design, build, and maintain scalable ETL/ELT data pipelines using AWS services such as Glue, Lambda, EMR, Step Functions, and S3.
• Automate CI/CD pipelines for ETL code deployments using GitHub Actions, GitLab CI, AWS Code Pipeline, or Jenkins.
• Perform version control for ETL scripts, Glue jobs, Terraform modules, and Ansible playbooks.
• Support containerization of ETL workloads using Docker & ECS/EKS.

Thanks & Regards

Ashwani Sharma

Technical Recruiter

Email: