Description

You design and implement hybrid data pipelines and automation frameworks across Azure and Snowflake ecosystems.

This role is on-site.

Responsibilities

• Build hybrid data pipelines using Azure Data Factory, Synapse, Databricks, Snowflake, and ADLS.
• Develop Python automation scripts for data quality validation, API orchestration, and custom ETL processes.
• Design Snowflake data models including star schemas, materialized views, and streams/tasks with Snowpark Python UDFs.
• Create enterprise Power BI semantic models, DAX measures, and paginated reports with Fabric integration and row-level security.
• Implement Power Automate flows and Python-based monitoring solutions integrated with Azure Purview.

Required Skills

• 5+ years of experience with Python, Azure Data Factory, Synapse, and Databricks.
• Strong proficiency in Snowflake, including Snowpark and data modeling.
• Experience building Power BI semantic models, DAX, and Power Automate flows.
• Knowledge of DBT for transformations and SharePoint integration.

Preferred Skills

• Snowflake certifications (SnowPro Core/Advanced) or Azure Data Engineer Associate (DP-203).
• Familiarity with Azure DevSecOps and Python ML libraries.

Key Skills

Education

Bachelor's or Master's degrees