About the role

As a Data Platform Engineer in Pune, you will be a key contributor in building and maintaining the new Operational Data Store, developing infrastructure that captures, stores, and publishes master data across the enterprise. Day-to-day work includes building batch and real-time pipelines with Dataflow and Kafka, orchestrating Airflow DAGs, deploying GCP resources via Terraform, creating APIs and microservices with FastAPI and Golang, and modeling data with dbt in BigQuery. This is a full-time hybrid role.

What you’ll do

Build and maintain batch and real-time data pipelines using Dataflow and Kafka
Develop and monitor complex Airflow (Cloud Composer) DAGs to ensure timely data delivery
Use Terraform to deploy and manage GCP resources for environmental consistency
Create internal APIs and microservices using FastAPI and Golang
Use dbt to transform raw data into clean, tested models within BigQuery
Manage Docker containers and CI/CD pipelines (GitLab/Jenkins) for seamless deployments
Transition from legacy point-to-point integrations to a decoupled event-driven architecture

What you’ll bring

Master's or Bachelor's Degree in Computer Science, Data Engineering, Software Engineering, or a related technical field
Strong academic foundation in Distributed Systems, DBMS, Algorithm Design, and Real-time Computing
Advanced Python proficiency
Intermediate Golang proficiency
SQL proficiency
Experience with Dataflow and Kafka
Experience with Airflow (Cloud Composer)
Experience with Terraform and GCP resources

Nice to have

Google Cloud Professional Data Engineer certification
Experience with Jira, Confluence, and ServiceNow
Frontend experience with React.js

Skills

Python (Advanced)Golang (Intermediate)SQLDataflowKafkaAirflow (Cloud Composer)TerraformFastAPI

Education

Master’s or Bachelor’s Degree in Computer Science, Data Engineering, Software Engineering, or a related technical field (e.g., Electromechanical Engineering with a focus on Automation)