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.
Required Qualifications
Category Details
Experience 6+ years data engineering; 2+ years Snowflake; 3+ years Power BI/Automate; Python automation delivery
Core Technical
Skills Snowflake (Snowpark, Streams, Tasks), Python (pandas, Airflow, dbt), Azure Data Factory/Synapse, Power BI Premium, Power Automate, & Databricks
Data Platforms ADLS Gen2, Service Bus Topics/Queues, PostgreSQL; real-time streaming (Kafka/Event Hubs equivalent)
Category Details
Visualization &
Automation DAX, Power Query, Fabric, Power Automate RPA/API connectors, paginated reports
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.
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