Company: Qloron Technology

Job ID: QTVIS10123

Experience: 4–6 Years

Female Candidates Preferred

? Job SummaryQloron Technology is looking for an experienced Azure Databricks Data Engineer to build and operate modern, scalable data platforms on Azure Databricks.

The selected candidate will work closely with a Senior Architect and take end-to-end ownership of data engineering solutions, from ingestion and transformation to deployment, monitoring, and production support.

We are building for an AI-native environment and expect candidates to leverage AI coding agents, AI-assisted development tools, reusable workflows, and agentic automation to improve engineering productivity and reliability.

? Key Responsibilities

- 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.
- Develop 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 Databricks workloads for performance, reliability, and cost.
- Build analytical datasets and dashboards using BI/visualization tools.
- Develop data products supporting analytics, ML, GenAI, and agentic applications.
- Use 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.

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

? AI-Native Engineering FocusCandidates should be comfortable using AI-assisted development tools and agentic workflows to accelerate coding, testing, documentation, troubleshooting, and automation. ? How to ApplyInterested candidates can share their updated resumes at:

? [email protected]

? www.qloron.com

Email Subject: Application – Azure Databricks Data Engineer – QTVIS10123

📌 Azure Databricks Data Engineer (Mumbai)
🏢 Qloron
📍 Mumbai