Description

You will provide technical leadership and architect scalable data solutions.

Responsibilities

• Design, architect, and implement highly scalable and performant data pipelines using GCP technologies.
• Guide the team in adopting best practices for data engineering, including CI/CD and infrastructure-as-code.
• Develop and maintain data pipelines to ingest, process, and transform large volumes of structured and unstructured data.
• Conduct code reviews and provide technical guidance to team members.

Required Skills

• 7+ years of experience in data engineering and Software Development.
• 7+ years of coding experience in SQL and Python/Java.
• 3+ years of hands-on experience building and managing data pipelines in a cloud environment like GCP.
• Strong programming skills in Python or Java for data-intensive applications.
• Expertise in SQL and data modeling for transactional and analytical workloads.
• Experience with CI/CD pipelines and automated testing frameworks.
• Experience leading or mentoring a team of engineers.
• Familiarity with GCP, BigQuery, and Airflow is required.

Key Skills

Education

Any Graduate