Description

You will design, develop, and maintain scalable data pipelines and ETL processes while architecting end-to-end technical solutions.

Responsibilities

• Design and implement technical solutions, patterns, and frameworks to meet functional and non-functional requirements.
• Write, review, and maintain high-quality code and perform POCs to validate design decisions.
• Lead and support UAT and production rollouts.
• Troubleshoot complex bugs and provide technical guidance to team members through constructive feedback.
• Coordinate requirements, schedules, and activities to enable application development.

Required Skills

• 10+ years of professional experience in Data Engineering.
• Expert-level knowledge of Snowflake and PostgreSQL (cloud-hosted on AWS, Azure, or GCP).
• Advanced proficiency in SQL and database programming.
• Extensive experience with Python and working knowledge of machine learning models.
• Deep understanding of database internals, stored procedures, performance tuning, and index optimization.
• Experience with SQL security features, encryption methods, and user role management.
• Hands-on experience with Git and DevOps platforms.
• Exposure to CI/CD automation processes and ETL processes.
• Programming experience in Golang.
• Working knowledge of Agile frameworks like Scrum or Kanban.

Preferred Skills

• Experience managing WBS and task effort estimation.

Key Skills

Education

Any Graduate