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 configuratio

Responsibilities:

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