Data Engineer - Azure Databricks

Data Engineer - Azure Databricks Company: Qloron Technology Job Location: Nagpur, Maharashtra, India Employment Type: Full-time Experience Required: 4+ years Job highlights Build scalable batch and real-time data pipelines using Azure Databricks,PySpark,SQL,and Delta Lake. Experience with batch processing and real-time data streaming. Required Skills 4+ years of experience in Data Engineering or Data Platforms. . Strong hands-on experience with Python,PySpark,and SQL. JOB ID:QT - AJH -10-613 We are looking for an experienced Data Engineer with strong Azure Databricks expertise to build, deploy, and manage modern data platforms. The ideal candidate will own end-to-end data engineering delivery, including ingestion, transformation, CI/CD, monitoring, and production support, while leveraging AI-powered development tools to improve engineering productivity. 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 pipelines using Structured Streaming and Azure Event Hubs. Work with ADLS Gen2, Azure Key Vault, and Azure DevOps. Own CI/CD pipelines, deployment automation, monitoring, and production troubleshooting. Optimize data pipelines for performance, reliability, and cost efficiency. Build analytical datasets and dashboards using BI and visualization tools. Develop data products that support Analytics, ML, Gen AI, and agentic applications. Use AI coding assistants, AI agents, and automation workflows for development, testing, documentation, and troubleshooting. Collaborate with architects, analysts, and business stakeholders to deliver production-ready solutions. Required Skills 4+ years of experience in Data Engineering or Data Platforms. Strong hands-on experience with Python, PySpark, and SQL. Expertise in Azure Databricks, Delta Lake, and Medallion Architecture. Experience with batch processing and real-time data streaming. Knowledge of Unity Catalog, Databricks Jobs/Workflows, and Structured Streaming. Experience with ADLS Gen2, Azure Event Hubs, Azure DevOps, Git, and Key Vault. Understanding of CI/CD, cloud security, monitoring, and production support. Hands-on experience with BI/dashboarding tools. Familiarity with AI coding assistants, agentic automation, and AI-native engineering practices. Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying. .