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

Apptad Inc; Dallas (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

Apptad Inc. is seeking a versatile Senior Data Engineer to design end-to-end data solutions for automotive and fleet platforms. You will build hybrid data pipelines across Azure, Snowflake, and ADLS, while crafting Python automation and Snowflake data models.

The role integrates Power BI analytics and Power Automate workflows for streamlined operations. Required: 6+ years in data engineering, 2+ years Snowflake, 3+ years Power BI/Automate; proficiency in Python or C#.

Qualifications

• 6+ years data engineering experience
• 2+ years Snowflake experience
• 3+ years Power BI/Power Automate experience
• Python automation delivery; C# or Python proficiency

Responsibilities

• Design end-to-end data pipelines across Azure, Snowflake, and ADLS
• Develop Snowflake data models (star schemas, materialized views) with Snowpark Python UDFs
• Create enterprise Power BI semantic models and paginated reports with Fabric integration
• Implement Power Automate flows for workflow automation across Service Bus, Teams, SharePoint, and vendor APIs
• Deploy Python-based data quality frameworks and monitoring with Snowflake streams and Purview

Skills

Snowflake

Python

Azure Data Factory

Power BI

Power Automate

Databricks

Education

Bachelor's or Master's in CS/Data Engineering/Statistics

Related field

Tools

Snowpark

Azure Data Factory

Synapse

dbt

Airflow

Job description

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

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

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