We are looking for a skilled Azure Data Engineer with hands-on experience in Azure Data Factory (ADF) and Microsoft Fabric to design, build, and maintain scalable data pipelines and analytics solutions. The ideal candidate will play a key role in enabling data-driven decision-making across the organization through robust, high-performance data solutions on the Azure platform.

Key Responsibilities:
Design and implement ETL/ELT workflows using Azure Data Factory (ADF).
Leverage Microsoft Fabric (including OneLake, Dataflows Gen2, Notebooks, Pipelines, and Lakehouse) to develop end-to-end data engineering solutions.
Build and maintain data pipelines to ingest, transform, and store data from various sources (structured and unstructured).
Optimize data processes for performance, scalability, and reliability.
Work closely with data analysts, BI developers, and stakeholders to deliver business-ready data models.
Ensure data quality, security, and governance standards are implemented and followed.
Participate in solution architecture, technical documentation, and performance tuning.
Troubleshoot and resolve data-related issues in development, QA, and production environments.





Required Skills and Qualifications:
4+ years of experience in data engineering with a solid focus on the Azure ecosystem.
Expertise in Azure Data Factory (ADF) pipelines, data flows, triggers, integration runtimes.
Hands-on experience with Microsoft Fabric, especially with Lakehouse architecture, OneLake, and Fabric Pipelines.
Have positive hands-on experience in notebook development and Apache Spark.
Strong SQL skills and experience working with Azure Synapse, Databricks, or other distributed compute platforms.
Experience in working with delta lakes, parquet files, and data lake storage (ADLS Gen2).
Positive understanding of data modeling, data warehousing, and ETL best practices.
Familiarity with DevOps, CI/CD pipelines, and Git integration for data solutions.
Strong problem-solving, analytical, and communication skills.
Knowledge of Azure Data Lake, Azure SQL, and Data Governance tools like Purview.
Understanding of security & access control mechanisms in Azure.
Experience working in Agile/Scrum teams

📌 Sr Etl Fabric Engineers Pune
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📍 Pune