Job Description Senior Data Engineer – Data Pipelines & Cloud Databases
N Location: Pune | Experience: 4+ years | Type: Full time
NRole Overview
nDesign, build, manage enterprise data pipelines on Azure and Databricks. Own schema design, API development, and data infrastructure for analytics and intelligence products.
NKey Responsibilities
n N Data Pipeline Development
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- Implement robust,scalable data pipelines using Microsoft Azure and Databricks stack N
- Build reusable data pipeline components and frameworks N
- Design and optimize data workflows for performance and reliability N
- Monitor pipeline healthand implement automated alerting N

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



relationship analytics N

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

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

n Collaboration & Integration
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- Work across multiple engineering teams on prototype integration N
- Support integration of proven prototypes into core intelligence products N
- Strong team col

📌 Hiring: Data Engineer (India)
🏢 InfoVision
📍 India