Senior Data Engineer – Data Pipelines & Cloud Databases

Location: Pune | Experience: 4+ years | Type: Full time

Role Overview

Design, build, manage enterprise data pipelines on Azure and Databricks. Own schema design, API development, and data infrastructure for analytics and intelligence products.

Key Responsibilities

Data Pipeline Development
- Implement robust, scalable data pipelines using Microsoft Azure and Databricks stack
- Build reusable data pipeline components and frameworks
- Design and optimize data workflows for performance and reliability
- Monitor pipeline health and implement automated alerting

Database Architecture
- Design relational and non-relational database schemas
- MongoDB: schema design, aggregation pipelines, indexing, sharding, replica sets, performance tuning
- Azure Cosmos DB: multi-model access, partitioning, consistency levels, throughput management (RU/s), global distribution
- Azure Cosmos DB Gremlin API: graph data modeling, traversals, vertex/edge design, relationship analytics

API Development




- Build RESTful APIs using FastAPI with async endpoint design
- Implement Pydantic models, middleware, dependency injection, background tasks
- Generate and maintain auto-generated OpenAPI/Swagger documentation
- Configure Azure API Management (APIM) for API gateway and security

Project & Stakeholder Management
- Collect progress updates from squads regularly
- Consolidate updates into weekly project status reports
- Develop L3-level project plans with task details, milestones, dependencies
- Participate in early-stage design and feature definition
- Communicate complex data insights to non-technical stakeholders

Collaboration & Integration
- Work across multiple engineering teams on prototype integration
- Support integration of proven prototypes into core intelligence products
- Strong team collaboration and cross-functional communication
- Knowledge sharing and documentation

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Required Experience:

Data Engineering & Databases

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