Description

You will lead the design and development of scalable data platforms, including ETL/ELT pipelines, Data Lakes, Lakehouses, and Data Warehouses.

This role is remote.

Responsibilities

• Build and optimize data pipelines using Azure Databricks, PySpark, Python, SQL, Microsoft Fabric, ADF, and Azure Synapse.
• Design Snowflake Data Warehouse solutions, semantic models, and analytical data layers for Power BI reporting.
• Implement Delta Lake, Medallion Architecture, CDC, and incremental processing with robust data quality frameworks.
• Establish data governance, security, lineage, and access-control best practices across Azure and Snowflake.
• Mentor Data Engineers, conduct code reviews, and collaborate with stakeholders to deliver enterprise data solutions.

Required Skills

• 8+ years of Data Engineering experience.
• Strong hands-on expertise in Databricks, PySpark, Python, and SQL.
• Deep experience with Microsoft Fabric, OneLake, Fabric Data Factory, Lakehouse, and Warehouse.
• Strong Snowflake experience for data warehousing and analytical workloads.
• Proficiency in Azure Synapse Analytics and Azure Data Factory (ADF).
• Strong understanding of Power BI, Semantic Models, Data Modeling, and DAX.
• Experience with Delta Lake, Lakehouse Architecture, CDC, and incremental processing.
• Knowledge of Azure cloud services, CI/CD, Git, DevOps, and production support.

Preferred Skills

• Experience with Unity Catalog, Microsoft Purview, and Terraform.
• Proficiency in Apache Kafka, Azure Event Hubs, and Spark Structured Streaming.

Key Skills

Education

Bachelor's degree