Azure Databricks Data Engineer Job ID: QTAJH10613

Experience:
4–6 Years Technology: Azure Databricks | PySpark | Python | SQL | Delta Lake ? Job SummaryQloron Technology is looking for an experienced Azure Databricks Data Engineer to build, deploy, 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, including ingestion, transformation, deployment, monitoring, and production support. We are looking for an AI-native engineer who actively uses AI coding assistants, AI agents, reusable workflows, and automation to improve development speed, code quality, and operational reliability. ?

Key Responsibilities
• Build scalable batch and real-time data pipelines using Azure 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 Azure Data Lake Storage Gen2 (ADLS Gen2), Azure Key Vault, and Azure DevOps.
• Own CI/CD pipelines, deployment automation, monitoring, and production troubleshooting.
• Optimize data pipelines and Databricks workloads for performance, reliability, and cost.
• Build analytical datasets and dashboards using BI and visualization tools.
• Develop data products that support analytics, machine learning, GenAI, and agentic applications.
• Leverage AI coding agents and AI-assisted 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 proficiency in Python, PySpark, and SQL.
• Strong hands-on experience with Azure Databricks, Delta Lake, and Medallion Architecture.
• Experience building both batch and real-time/streaming data pipelines.
• Hands-on experience with Unity Catalog, Databricks Workflows/Jobs, and Structured Streaming.
• Experience with ADLS Gen2, Azure Event Hubs, Azure DevOps/Git, and Azure Key Vault.
• Good understanding of CI/CD, cloud security, deployment automation, and production operations.
• Hands-on experience with at least one BI/dashboarding tool.
• Solid problem-solving skills and an ownership-driven mindset.
• Comfortable using AI coding assistants/agents and adopting emerging AI-native engineering practices. ? AI-Native Engineering FocusCandidates should be comfortable using modern AI-assisted development tools and agentic workflows to:
• Accelerate coding and testing.
• Automate repetitive engineering tasks.
• Improve documentation and troubleshooting.
• Build reliable, reusable development workflows. ?

How to Apply
Interested candidates can share their updated resumes at: ? [email protected] ? Website: www.qloron.com Email Subject: Application – Azure Databricks Data Engineer – QTAJH10613 Please mention your total experience, Azure Databricks experience, PySpark/SQL expertise, streaming experience, BI tools, and AI coding assistants used. #Hiring #DataEngineer #AzureDatabricks #PySpark #Python #SQL #DeltaLake #UnityCatalog #Azure #DataEngineering #DataPipelines #GenAI #AIAgents #QloronTechnology

📌 Azure Databricks | PySpark | Python | SQL | Delta Lake (Mumbai)
🏢 Qloron
📍 Mumbai