Data Engineer

-Knowledge and experience with relational and non-relational databases.

- Strong hands-on experience with MongoDB, including schema design, aggregation pipelines, indexing strategies, sharding, replica sets, and performance optimization.

- Proficiency in Azure Cosmos DB, including multi-model data access (Cosmos DB API for MongoDB, SQL API), partitioning strategies, consistency levels, throughput management (RU/s), and global distribution.

- Strong experience in graph data modeling and querying using Azure Cosmos DB Gremlin API, including graph traversals, vertex/edge design, and relationship-driven analytics.

- Strong hands-on experience in building RESTful APIs using FastAPI, including async endpoint design, Pydantic models, middleware, dependency injection, background tasks, and auto-generated OpenAPI/Swagger documentation.

- Experience with Azure API Management (APIM) for API gateway configuration,Python.

- Collect progress updates from Squad on a regular basis.

- Consolidate updates into weekly project status reports and share with the Squad Leads for their review.

- You participate in early state design and feature definition activities.

- Responsible for implementing robust data pipeline using Microsoft, Databricks Stack.

- Responsible for creating reusable and scalable data pipelines.

- You are a Team-Player, collaborating with team members across multiple engineering teams to support the integration of proven prototypes into core intelligence products.

- You have strong communication skills to effectively convey complex data insights to non-technical stakeholders.

- Develop and manage L3-level project plans with sufficient details for tasks, milestones, and dependencies

-Knowledge and experience with relational and non-relational databases.

- Strong hands-on experience with MongoDB, including schema design, a