Data Engineer

Roles and Responsibilities 

• 4+ years of experience in data engineering with a strong 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 good 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).
• Good 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