Description

You will design and maintain medallion lakehouse architectures and enterprise data pipelines using Azure Databricks, Snowflake, and Microsoft Fabric.

This role is hybrid.

Responsibilities

• Implement Bronze, Silver, and Gold layer patterns for data ingestion, cleaning, standardization, and curation.
• Build reliable data pipelines using Azure Databricks, SQL, and Python for structured and semi-structured data.
• Design and support orchestration workflows using Azure Data Factory and implement data quality checks and monitoring.
• Enable semantic layers and models through Microsoft Fabric, including Lakehouse, Warehouse, and Power BI integration.
• Optimize pipelines for performance and scalability while collaborating with analysts and stakeholders to deliver trusted data products.

Required Skills

• 3-5 years of experience in data engineering or analytics engineering.
• Strong hands-on experience with SQL and Python for data transformation and validation.
• Experience building ingestion pipelines into a lakehouse or enterprise data warehouse.
• Hands-on experience with Azure Databricks and distributed data processing.
• Experience with Snowflake, including data loading, transformation, and performance tuning.
• Working knowledge of enterprise data warehouse design, dimensional modeling, star schemas, and fact/dimension tables.
• Understanding of data governance, metadata management, lineage, and production support best practices.

Preferred Skills

• Experience with Microsoft Fabric, including Fabric Lakehouse, OneLake, and semantic model integration.
• Certifications in Azure, Microsoft Fabric, Databricks, or Snowflake.
• Experience with Delta Lake, Unity Catalog, or similar lakehouse governance technologies.

Key Skills

Education

Bachelor's degree