Female Candidate Are Preferred

Location: Mumbai/ Jaipur

About The Role

We’re looking for a Data Engineer to build and operate up-to-date data platforms on Azure Databricks.

You’ll work with a Senior Architect on solution design and own the implementation end-to-end—from ingestion and transformation to deployment, monitoring and production support. Alongside strong data engineering skills, you’ll also take ownership of the platform/DevOps aspects of the solution.

We’re building for an AI-native world, so we expect you to use AI coding agents, AI-assisted development, reusable skills/workflows and agentic automation to make engineering faster, smarter and more reliable.

What You'll Do

- Build scalable batch and real-time data pipelines using Databricks, PySpark, SQL and Delta Lake.
- Implement Medallion Architecture (Bronze/Silver/Gold) and governed data products using Unity Catalog.
- Build streaming solutions using Structured Streaming and Azure Event Hubs.
- Work with ADLS Gen2, Azure Key Vault and Azure DevOps.
- Own CI/CD, deployment automation, monitoring and production troubleshooting.
- Optimize data pipelines and Databricks workloads for performance, reliability and cost.
- Build analytical datasets and dashboards using BI/visualization tools.
- Develop data products that can support analytics, ML, GenAI and agentic applications.




- Leverage AI agents and AI-native developer tools for coding, testing, documentation, troubleshooting and automation.
- Collaborate with architects, analysts and business stakeholders to deliver production-ready solutions.

What We're Looking For

- 4–6 years of hands-on experience in Data Engineering / Data Platforms.
- Strong Python/PySpark and SQL skills.
- Strong hands-on experience with Azure Databricks, Delta Lake and Medallion Architecture.
- Experience with batch + real-time/streaming data engineering.
- Hands-on experience with Unity Catalog, Databricks Workflows/Jobs and Structured Streaming.
- Experience with ADLS Gen2, Event Hubs, Azure DevOps/Git and Key Vault.
- Good understanding of CI/CD, cloud security and production operations.
- Hands-on experience with a BI/dashboarding tool.
- Strong problem-solving and ownership mindset.
- Comfortable using AI coding assistants/agents and eager to adopt emerging AI-native engineering practices.

Good to Have

- Databricks or Azure certifications.
- Lakeflow/DLT, Terraform/IaC or Kafka.
- Experience with AWS/GCP and Databricks.
- Exposure to GenAI, RAG or agentic applications.
- Experience in Telecom, Media, Advertising/AdTech.

If you enjoy building production-grade data platforms—and using AI to fundamentally improve how you build and operate them—we’d love to hear from

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📌 Data Engineer (Mumbai)
🏢 Qloron
📍 Mumbai