Data Engineer Mid-Level | Microsoft Azure

Responsibilities:

• Develop and maintain data pipelines for ingestion, transformation, and modeling using Microsoft Azure and Databricks.
• Work with PySpark, Azure Data Lake Storage, and Delta Lake to build scalable and performant data solutions.
• Collaborate in Agile/SCRUM teams to deliver end-to-end data engineering projects.

Essential Skills:

• 2-5 years of experience in Data Engineering with solid Microsoft Azure skills.
• Experience with Azure Databricks, PySpark, and ETL/ELT development.
• Knowledge of Azure Data Lake Storage, Parquet, and Delta Lake.

Desired Skills:

• Experience with Azure Data Factory and migration from Scala to PySpark.
• Familiarity with Azure Synapse, JIRA, and Confluence.
• Ability to work remotely and manage full data lifecycle.