Responsibilities -
- 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.
Requirements -
- 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.
- Experience with Google Cloud, Django, Postgres, Celery, Redis.
- Some experience with AI Infrastructure and Operations.
