We are seeking an experienced BI Developer / Data Engineer to design, build, and maintain scalable data solutions that support enterprise analytics and reporting needs. This role combines strong expertise in ETL development, SQL databases, and Microsoft Fabric, with experience in modern Azure-based data platforms and DevOps practices.
The ideal candidate is comfortable working in international, cross-functional teams, understands data architecture best practices, and can contribute across the full data lifecycle — from ingestion and transformation to semantic modeling and reporting.
Key Responsibilities
Design, develop, and maintain robust ETL/ELT pipelines using modern data platform tools
Build and optimize data models within Microsoft Fabric and related Azure services
Develop and maintain complex SQL queries, stored procedures, and performance-tuned database solutions
Create and maintain semantic models and business logic using DAX
Develop data processing and automation solutions using Python (preferred)
Collaborate with business stakeholders, analysts, and data consumers to translate requirements into technical solutions
Implement and maintain CI/CD pipelines for data solutions
Apply DevOps best practices to ensure code quality, version control, testing, and deployment automation
Monitor, troubleshoot, and optimize data pipelines and reporting performance
Ensure data quality, governance, and security standards are met
Participate in architectural discussions and contribute to data strategy initiatives
Required Qualifications
3+ years of experience in Business Intelligence and/or Data Engineering roles
Strong hands-on experience with:
SQL databases (query optimization, indexing, performance tuning)
ETL/ELT processes and data transformation frameworks
Microsoft Fabric or comparable modern data platform environments
DAX for data modeling and reporting logic
Building Power BI reports
Experience working with Azure data services
Experience with CI/CD pipelines and deployment automation
Familiarity with Azure DevOps or similar DevOps tools
Strong understanding of data warehousing concepts (star schema, dimensional modeling, data lakes)
Experience working in international and cross-functional teams
Strong analytical and problem-solving skills
Excellent written and verbal communication skills in English
Preferred Qualifications
Experience with Python for data processing, scripting, or automation
Knowledge of data governance and data quality frameworks
Experience with large-scale, cloud-based data platforms
Familiarity with Agile/Scrum methodologies
Key Competencies
Strategic and systems thinking
Strong ownership and accountability
Ability to balance technical depth with business needs
Proactive mindset with continuous improvement focus
Effective collaboration across geographies and cultures
What We Offer
Opportunity to work on modern cloud-based data platforms
Collaboration with international teams
Exposure to enterprise-scale data and analytics initiatives
Professional growth in data architecture, engineering and creating reports
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GPC conducts its business without regard to sex, race, creed, color, religion, marital status, national origin, citizenship status, age, pregnancy, sexual orientation, gender identity or expression, genetic information, disability, military status, status as a veteran, or any other protected characteristic. GPC's policy is to recruit, hire, train, promote, assign, transfer and terminate employees based on their own ability, achievement, experience and conduct and other legitimate business reasons.
Skills Required
- 3+ years of experience in Business Intelligence and/or Data Engineering roles
- SQL databases (query optimization, indexing, performance tuning)
- ETL/ELT processes and data transformation frameworks
- Microsoft Fabric or comparable modern data platform environments
- DAX for data modeling and reporting logic
- Building Power BI reports
- Experience working with Azure data services
- Experience with CI/CD pipelines and deployment automation
- Familiarity with Azure DevOps or similar DevOps tools
- Strong understanding of data warehousing concepts (star schema, dimensional modeling, data lakes)
- Experience working in international and cross-functional teams
- Strong analytical and problem-solving skills
- Excellent written and verbal communication skills in English
- Python for data processing, scripting, or automation
Genuine Parts Company Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Genuine Parts Company and has not been reviewed or approved by Genuine Parts Company.
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Retirement Support — Retirement programs include a 401(k) with company match and an Employee Stock Purchase Plan, with profit sharing and pension plans also mentioned. These elements indicate strong long-term financial support alongside ownership opportunities.
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Healthcare Strength — Benefits encompass medical, dental, and vision coverage with HSA and FSA options plus income-protection coverages like life, AD&D, and disability. This breadth suggests a robust core health and protection offering.
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Parental & Family Support — Paid maternity and paternity leave are provided in addition to short‑term disability, and an Employee Assistance Program supports families with counseling and life tools. These programs reinforce family support alongside standard PTO.
Genuine Parts Company Insights
What We Do
Genuine Parts Company (GPC), founded in 1928, is a global service organization engaged in the distribution of automotive and industrial replacement parts. We serve hundreds of thousands of customers from a network of more than 10,000 locations in 14 countries and have approximately 50,000 employees.
