Data Engineer: Azure Data Factory & Power BI Pipelines

Qualibar; Gainesville (GA); On-site; USD 90,000 - 110,000; Full time

Job summary

A data solutions company based in Gainesville, GA, is seeking a Data Engineer to support data engineering and analytics initiatives. The ideal candidate will excel in SQL performance optimization, Azure Data Factory, and Power BI. Key responsibilities include designing data pipelines and optimizing database performance. The candidate must demonstrate strong analytical skills and experience with data warehousing concepts. This full-time position offers an opportunity to work within a dynamic team and implement scalable data solutions.

Qualifications

• Experience in Data Engineering or a related field.
• Strong expertise in SQL with advanced querying and execution plans.
• Proven experience with SQL performance tuning.
• Hands-on experience with Azure Data Factory.
• Experience with Power BI reporting and dashboards.
• Good understanding of star schema and fact/dimension tables.

Responsibilities

• Design and maintain data pipelines and ETL/ELT workflows.
• Develop and optimize SQL queries for performance.
• Perform SQL performance tuning and indexing strategies.
• Support Power BI dashboards for analytics teams.
• Design and maintain data warehouse structures.

Skills

SQL performance optimization

Azure Data Factory

Power BI

Data Pipeline Architecture

Data Warehousing Concepts

Analytical Skills

Tools

SQL Server Analysis Services

Azure SQL Database

Azure Synapse Analytics

Job description

A data solutions company based in Gainesville, GA, is seeking a Data Engineer to support data engineering and analytics initiatives. The ideal candidate will excel in SQL performance optimization, Azure Data Factory, and Power BI. Key responsibilities include designing data pipelines and optimizing database performance. The candidate must demonstrate strong analytical skills and experience with data warehousing concepts. This full-time position offers an opportunity to work within a dynamic team and implement scalable data solutions.