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.
• Solid 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.
• Strong 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 Apply
Interested 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