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