Analytics Engineer: Data Modeling & BI on Databricks

Shawfloorscareers; Dalton (GA); Hybride; USD 90 000 - 130 000; Plein temps

Résumé du poste

Shaw Industries Group, Inc. in Dalton, GA is seeking an Analytics Engineer to join the Residential Enablement and Insights team.

The role blends business strategy with advanced analytics and data engineering, focusing on scalable data models and self-service analytics across Residential Sales and Marketing. The ideal candidate will design data models, pipelines, and dashboards using Power BI and Databricks, with a strong emphasis on data governance and collaboration across teams.

Qualifications

• Experience building dashboards and reports in Power BI with DAX, Power Query, and data security concepts.
• Experience with Databricks in a cloud environment to process, transform, and model data using notebooks and modern storage formats like Delta Lake.
• Understanding of ETL/ELT, orchestration, and data lake architectures (Azure Data Lake).
• Proficiency in Python or R for data transformation, automation, and analytics tasks.

Responsabilités

• Partner with business stakeholders to gather requirements and translate them into scalable data models and analytic solutions.
• Design, develop, and maintain data models, semantic layers, star schemas, and data marts for self-service analytics.
• Build and maintain data pipelines using modern data platforms (e.g., Databricks) to create analytics-ready datasets.
• Collaborate with Data Engineering and cross-functional teams to ensure data quality, integrity, and governance.

Connaissances

Power BI

SQL

Python

Data Modeling

Data Governance

Communication

Analytical Thinking

Cross-functional collaboration

Formation

Bachelor's degree in CS/IS

Outils

Databricks

Git

Delta Lake

Azure Data Lake

Description du poste

Shaw Industries Group, Inc. in Dalton, GA is seeking an Analytics Engineer to join the Residential Enablement and Insights team.

The role blends business strategy with advanced analytics and data engineering, focusing on scalable data models and self-service analytics across Residential Sales and Marketing. The ideal candidate will design data models, pipelines, and dashboards using Power BI and Databricks, with a strong emphasis on data governance and collaboration across teams.