Data Engineer

InfoVision Inc.
Pune District, Maharashtra, India

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 alertingDatabase 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 analyticsAPI 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 securityProject & 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 stakeholdersCollaboration & 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
  • Relational and non-relational database expertise
  • MongoDB: advanced schema design, aggregation, indexing, sharding, performance optimization
  • Azure Cosmos DB: multi-model APIs, partitioning, consistency, throughput management
  • Graph databases: Cosmos DB Gremlin API, graph modeling, traversals, relationship analyticsAPI & Backend Development
  • FastAPI proficiency: async endpoints, Pydantic models, middleware, dependency injection
  • Background tasks and job scheduling
  • RESTful API design and best practices
  • OpenAPI/Swagger documentationCloud Platform
  • Azure fundamentals and hands-on experience
  • Azure Data Factory or Databricks for ETL/ELT
  • Azure Cosmos DB multi-region setup
  • Azure API Management (APIM) configurationData Pipeline Skills
  • ETL/ELT pipeline design and development
  • Data quality validation and monitoring
  • Schema design for analytics and reporting
  • Performance optimization and scalability

Preferred Experience

  • Databricks Delta Lake experience
  • Azure Synapse Analytics
  • Python for data engineering
  • Spark SQL optimization
  • Real-time data streaming
  • Data governance and metadata management
  • Agile/Scrum development model
  • CI/CD pipeline experience

Score my resume against this job, free →

Questions about this job

How do I apply for the Data Engineer job at InfoVision Inc.?

Use the apply link on this page: you apply directly with InfoVision Inc. on LinkedIn. Before you do, score your resume against this job description on Fitboard. It shows which skills and keywords the job asks for that your resume doesn't show, so you can fix them first.

What skills does InfoVision Inc. want for this Data Engineer role?

The job description asks for Microsoft Azure, Databricks, MongoDB, Azure Cosmos DB, Azure Cosmos DB Gremlin API, FastAPI, Pydantic and Azure API Management. Make sure your resume shows the ones you have, in the words the job uses: applicant tracking systems look for them.

How can I get a job at InfoVision Inc.?

Apply to the InfoVision Inc. roles that match your experience, and tailor your resume to each job description: for this role that means showing Microsoft Azure, Databricks, MongoDB. A resume that matches the job's own keywords is more likely to get past screening. Fitboard scores your resume against this exact job for free.

Is this Data Engineer job remote or onsite?

This is based in Pune District, Maharashtra.

Is it free to apply? Does Fitboard charge anything?

Applying is free: you apply directly with InfoVision Inc., and this job page and its apply link cost nothing. Checking your resume against this job is free too, with 3 free scans when you sign in and no credit card needed.

Will you get shortlisted for this role? Check your match free →