Design and implement analytical platforms that provide insightful dashboards to customers.
Develop and maintain data warehouse schemas, such as star schemas, fact tables, and dimensions, to support efficient querying and data access.
Oversee data propagation processes from source databases to warehouse-specific databases/tools, ensuring data accuracy, reliability, and timeliness.
Ensure the architectural design is extensible and scalable to adapt to future needs.

Qualification: B.E/B.Tech/M.E/M.Tech/PhD from tier 1/2 Engineering institutes with relevant work experience with a top technology company.
9+ years of Backend and Infrastructure Experience with a strong track record in development, architecture and design.
Hands on experience with large scale databases, high scale messaging systems and real time Job Queues.
Experience navigating and understanding large scale systems and complex code-bases, and architectural patterns.
Proven experience in building high scale data platforms.
Strong expertise in data warehouse schema design (star schema, fact tables, dimensions).
Experience with data movement, transformation, and integration tools for data propagation across systems.
Ability to evaluate and implement best practices in data architecture for scalable solutions.
Experience mentoring and providing technical leadership to other engineers in the team. ** Nice to have:
Experience with Google Cloud, Django, Postgres, Celery, Redis.
Some experience with AI Infrastructure and Operations.

Principal Engineer

Key skills