Senior Data Engineer - Power BI, Power Automate, Snowflake & Python Specialist

Apptad Inc.
Irving, TX, United States
24 days ago
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Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Airflow Microsoft Azure C Sharp (Programming Language) Information Engineering Data Governance Extract Transform Load (ETL) Data Systems Data Warehousing Python (Programming Language) PostgreSQL Microsoft SQL Server
+22 more
Power BI Azure Data Lake Microsoft SharePoint SQL Databases SQL Server Integration Services Data Streaming Azure Service Bus Microsoft Power Automate Azure Data Factory Snowflake Powerquery Pandas Scikit Learn Information Technology Collibra Apache Kafka Data Management Azure Synapse Analytics Data Pipelines Devsecops Atlassian Bamboo Databricks

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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