Senior Data Engineer - Power BI, Power Automate, Snowflake & Python Specialist
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Job description
Looking for a versatile Senior Data Engineer to develop end-to-end data solutions for automotive and fleet management platforms. You’ll deliver Azure pipelines, Snowflake data warehousing, Python automation, Power BI analytics, and Power Automate workflows for our client, * 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.
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Requirements
6+ years data engineering; 2+ years Snowflake; 3+ years Power BI/Automate; Python automation delivery, C# or Python is needed must have 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) 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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