About GPC Global Technology Center

Established in 1928, Genuine Parts Company (GPC) is a leading global service organization specializing in the distribution of automotive and industrial replacement parts. GPC's commitment to innovation and technology is evident in the GPC Global Technology Center in Krakow, established in 2022. This center serves as a hub for research and development, supporting GPC's digital transformation efforts. The center's team of highly skilled IT engineers focuses on developing advanced technologies and solutions that enhance GPC's operations and growth. Their work spans across various areas, including e-commerce and data platforms, supply chain solutions, selling systems, and cyber security. Learn more at genpt.com.

Position Purpose

This role will function as the Senior Data Quality Engineer of a newly formed AI/ML Engineers team to build the next models and analytics. 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 data quality/engineering role with responsibility of supporting and validating data science initiatives that drive business profitability, increased efficiencies, and improved customer experience. This individual must be a engineer at heart and be comfortable in enabling new technology and being hands on with the execution of the strategy. She/he must exhibit a deep understanding of modern technology stack and agile delivery models, demonstrated focus on customer experience, and must have a proven track record of modernizing technologies.

We are seeking an experienced Senior Data Quality Engineer to join our team. The ideal candidate will have a strong background in devops and cloud technologies. Familiar with retail business and/or search domain is an added advantage. In this role, you will work closely with cross-functional teams to drive insights and recommendations to inform business decisions along with data scientists and data engineers.

Suppose you are passionate about leveraging data to drive business decisions and have a strong background in data operations and cloud technologies. In that case, we encourage you to apply for this exciting opportunity.

You’ll work on the GPC's Data Science team collaborating with data scientists, AI/ML engineers and product managers to build and augment our AI-driven digital Catalog products. You’ll leverage Python and/or scripting languages to validate data output from ML models, explore and analyze various data sources like catalog, customer engagement, financial reports.

Understand and follow Agile principles, best-practice software design, participate in code reviews, create a maintainable and well-tested codebase with relevant documentation.

3+ years’ experience in software engineering

BS in Mathematics, Statistics, Operations Research, Industrial Engineering, Physics, Computer Science, or other related fields

Strong hands-on programming skills in Python. Knowledge of SQL, Spark/equivalent.

Expertise in running queries against data (preferably with Google BigQuery or SQL)

Experience in designing and running A/B Tests and analyze the Key Metrics

Experience with cloud computing on at least one of the major providers (Google Cloud Platform, AWS, or Azure).

Some experience with Prompt Engineering in QA and Software Testing

Not the right fit?  Let us know you're interested in a future opportunity by joining our Talent Community on jobs.genpt.comor create an account to set up email alerts as new job postings become available that meet your interest!

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.