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 Mongo DB: 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 Fast API with async endpoint design Implement Pydantic models, middleware, dependency injection, background tasks Generate and maintain auto-generated Open API/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 Required Experience:
Data Engineering & Databases
4+ years data engineering or data platform experience

📌 Data engineer (Pune)
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📍 Pune