Company Background:
Genuine Parts Company ("GPC" or the "Company"), founded in 1928 and based in Atlanta, Georgia, is a leading distributor of automotive and industrial replacement parts and value-added services. The Company operates a global portfolio of businesses with more than 10,000 locations across the world. GPC has approximately 50,000 global employees with operations in the United States, Canada, Mexico, Australia, New Zealand, Indonesia, Singapore, France, the U.K., Germany, Poland, the Netherlands, Belgium, Spain, and China.
Position Purpose:
This role will function as the Senior Engineer in the Enterprise Data & Analytics (EDA) team with responsibility as the Site Reliability Engineer of the next generation business intelligence (BI) platforms at GPC. Working with a highly talented team, you'll play a key role to build and run one of the world's largest automotive and industrial replacement parts operations.
This is a senior SRE role with responsibility for enabling cloud transformation and managing GPC's unified business intelligence (BI) platform. She/he must exhibit a deep understanding of modern BI technology stacks and demonstrated focus on customer experience.
Close collaboration and alignment with the data engineering team, business functions, application development teams, and cyber security group will be required. As such, exceptional abilities in building and maintaining strong working relationships and organizational savvy will be required.
Position Responsibilities:
Run the production environment by monitoring availability and taking a holistic view of BI platform health.
Understanding the high-level architecture of infrastructure, underlying components, and Data platforms
Improve reliability, quality, and time-to-market of our next generation analytics solutions built on Power BI
Measure and optimize system performance, with an eye toward pushing our capabilities forward, getting ahead of customer needs, and continuous improvement.
Partner with the platform teams (Data + BI) to implement design patterns that ensure solutions meet operational requirements, such as availability, scalability, reliability, extensibility, manageability, and security.
Communicate and interact with business and technical stakeholders to solve complex data related problems (business + technical)
Strong understanding of the data assets, reporting solutions, and analytics capabilities to provide appropriate support.
Provide guidance to BI user community on best practices and finding optimal solutions, who are facing similar challenges to enable consistent solutions
Build and drive the BI Platform standards, capabilities, cost, capacity optimization strategies, tenant level configuration, and tooling (native and external) for the BI platform
Partner with development teams to improve services through rigorous testing and release procedures.
Participate in system design consulting, platform management, and capacity planning
Provide mentorship to team members, domain teams, and business stakeholders on available data assets, reporting solutions, and analytics capabilities
Coordinate/manage technology integrations between various system and application teams
Other duties assigned
Location:
GPC has two work locations to choose from, Duluth or Atlanta office.
We offer a Flexible Work Policy that permits eligible employees to work a hybrid remote schedule.
Desired Qualifications & Experiences:
Bachelor's degree in computer science, MIS, Business, or related degree, and/or equivalent experience. MS degree preferred.
2 years' (8 preferred) experience in developing and implementing BI solutions using various technology stacks and BI platforms
Expertise in Power BI administration, Fabric Platform capabilities, features/functionality, development best practices, deployment strategies, and operations/support is required
Strong knowledge of Agile and DevOps methodologies
Strong problem-solving skills, project management skills, and organizational skills
Highly self-motivated with a strong work ethic
Expert knowledge of SQL, knowledge in Python or a similar programming language
Experience in Public cloud environments (Azure, GCP)
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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.
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