Data Engineer

Experience : 7 + Years

We are seeking a highly skilled Azure Data Engineer with strong expertise in Azure Databricks, Apache Spark, and the Azure data ecosystem to design and deliver scalable, high-performance data platforms. The ideal candidate will have hands-on experience building ETL/ELT pipelines, optimizing big data workloads, and enabling analytics and automation across enterprise environments.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using Azure Databricks and Apache Spark .
• Ingest, process, and integrate structured, semi-structured, and unstructured data from multiple sources.
• Optimize Spark and Databricks workloads for performance, reliability, and cost efficiency.
• Build and manage ETL/ELT pipelines using Azure Data Factory (ADF) and related services.
• Develop low-code/no-code automation solutions using Power Apps, Power Automate, and Azure Logic Apps .
• Implement CI/CD pipelines to automate data engineering workflows and deployments.
• Collaborate with data analysts, business users, and citizen developers to deliver analytics-ready datasets.
• Ensure data governance, security, compliance, and lineage across Azure data platforms.
• Support data modeling, performance tuning, and troubleshooting of production data systems.