Senior Data Platform Engineer: Power BI & Fabric

Fracht Group - North America; Houston (TX); On-site; USD 120,000 - 150,000; Full time

Job summary

Fracht Group - North America is seeking a Senior Data Engineer to design and manage the enterprise data platform. This full-stack position requires expertise in Microsoft Fabric, Power BI, and extensive experience in data pipeline engineering.

The ideal candidate will have a minimum of 5 years in data engineering with proficiency in technologies like Spark and PySpark, and a strong commitment to documentation and governance.

The role also involves working collaboratively with business stakeholders to ensure the alignment of technical specifications and data products.

Qualifications

• Minimum of 5 years of experience in data engineering or analytics engineering.
• Proven experience with Microsoft Fabric and Azure cloud platforms.
• Experience in creating production data pipelines and enterprise-level Power BI semantic models.

Responsibilities

• Designs and builds end-to-end data pipelines using Microsoft Fabric architecture.
• Creates and optimizes Power BI semantic models and Row-Level Security.
• Conducts data reconciliation and validates data quality.

Skills

Spark

PySpark

SQL

T-SQL

Power BI

DAX

Microsoft Fabric

Data Warehousing

Data Pipeline Engineering

GIT

Education

Bachelor's degree in Computer Science, Data Engineering, or related field

Master's degree in Computer Science or Data Analytics (preferred)

Tools

Microsoft Fabric components

dbt

Azure Data Factory

Job description

Fracht Group - North America is seeking a Senior Data Engineer to design and manage the enterprise data platform. This full-stack position requires expertise in Microsoft Fabric, Power BI, and extensive experience in data pipeline engineering.

The ideal candidate will have a minimum of 5 years in data engineering with proficiency in technologies like Spark and PySpark, and a strong commitment to documentation and governance.

The role also involves working collaboratively with business stakeholders to ensure the alignment of technical specifications and data products.