ETL Developer

Interview : Video

Visa : USC, GC, GC EAD, H4

This is onsite from day-1 ( Need local candidates )

Description :About the job

Overview

We are seeking a highly skilled engineer to contribute to the development, automation, and optimization of our cloud based data ecosystem. The ideal candidate has deep experience in Python, AWS, infrastructure-as-code, and enterprise scale data platforms. This role will work cross functionally to build automation, develop ETLs, support data architecture initiatives, and evangelize key technologies within the organization.

Key Responsibilities

• Develop automation scripts and tools for system provisioning, deployment, upgrades, and scaling using Python.
• Design, build, and maintain ETL pipelines to ingest and transform data from various operational systems.
• Develop solutions within a modern cloud-based architecture.
• Champion strategic technologies across public APIs, Big Data, and Analytics.
• Collaborate with data engineering, architecture, and operations teams to support enterprise data platforms.
• Apply strong understanding of metadata management and data modeling to support scalable data solutions.
• Work hands-on with AWS services, including CloudFormation and Lambda.
• Provide advanced SQL expertise across large data environments.
• Contribute to team communication, documentation, and knowledge-sharing efforts.

Required Qualifications

• 5+ years of hands-on experience with relational, dimensional, and/or analytical data environments (RDBMS, NoSQL, ETL frameworks, and data ingestion protocols).
• Experience with enterprise data warehouse, data lake, or big data platforms.
• Strong knowledge of metadata management, data modeling, and relevant tools.
• Advanced SQL skills.
• Advanced Python development experience.
• Experience with AWS CloudFormation and Lambda.
• Terraform and GitLab experience required (due to Client ecosystem).
• Strong technical acumen in AWS environments supporting large-scale, data-driven projects.

Preferred Skills (Nice to Have)

• Experience in data governance, lineage, or cataloging tools.
• Familiarity with CI/CD pipelines and DevOps best practices.
• Prior experience working within financial services or large enterprise environments.
• Strong communication skills and ability to collaborate across technical teams.