Data Engineer + Power Automate
Cloudious LLC
Job Title: Senior Data Engineer - Power BI, Power Automate, Snowflake & Python Specialist Looking for a v ersatile 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 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, 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 #J-18808-Ljbffr Cloudious LLC
Vacancy posted 4 days ago
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