Description

Key Responsibilities

• Design and implement hybrid data pipelines across Azure Data Factory, Synapse, Databricks, Snowflake, and ADLS
• Build Python automation scripts for data quality validation, API orchestration, and custom ETL processes
• Develop Snowflake data models (star schemas, materialized views, streams/tasks) with Snowpark Python UDFs for complex transformations.
• Create enterprise Power BI semantic models, DAX measures, and paginated reports with Fabric integration and row-level security.
• Implement Power Automate flows for workflow automation across Service Bus, Teams, SharePoint, and vendor APIs.
• Deploy Python-based data quality frameworks and monitoring solutions integrated with Snowflake streams and Azure Purview.

Preferred Skills

• Snowflake certifications (SnowPro Core/Advanced), Azure Data Engineer Associate (DP-203)
• Python ML libraries (scikit-learn), dbt for transformations, Azure DevSecOps

Education

• Bachelor's/Master's in Computer Science, Data Engineering, Statistics, or related field

Key Skills

Education

Bachelor's or Master's degrees