Cloud Engineer Senior

Why Valvoline Global Operations?
 
At Valvoline Global Operations, we’re proud to be The Original Motor Oil, but we’ve never rested on being first. Founded in 1866, we introduced the world’s first branded motor oil, staking our claim as a pioneer in the automotive and industrial solutions industry. Today, as an affiliate of Aramco, one of the world’s largest integrated energy and chemicals companies, we are driven by innovation and committed to creating sustainable solutions for a better future.

With a global presence, we develop future-ready products and provide best-in-class services for our partners around the world. For us, originality isn’t just about where we began; it’s about where we’re headed and how we’ll lead the way. We are originality in motion.

Our corporate values—Care, Integrity, Passion, Unity, and Excellence—are at the heart of everything we do. These values define how we operate, how we treat one another, and how we engage with our partners, customers, and the communities we serve. At Valvoline Global, we are united in our commitment to:

•    Treating everyone with care.
•    Acting with unwavering integrity.
•    Striving for excellence in all endeavors.
•    Delivering on our commitments with passion.
•    Collaborating as one unified team.

When you join Valvoline Global, you’ll become part of a culture that celebrates creativity, innovation, and excellence. Together, we’re shaping the future of automotive and industrial solutions.

How You’ll Make an Impact

Data Engineer plays a crucial role in designing, implementing, and managing advanced data solutions using both AWS and Data Lakehouse platforms. This position requires a blend of skills in cloud computing, data engineering, and analytics. Responsible for optimizing performance, ensuring security and compliance, and providing support and troubleshooting. Collaboration with data scientists and analysts is also key, ensuring the platform meets analytics needs while staying updated with the latest technologies and practices in the field.

Responsibilities Include

• Design and implement scalable and efficient data pipelines using AWS and Data Lakehouse Platform services. Leverage AWS cloud services like S3, Redshift, EMR, Glue, Lambda, and others in combination with Data Lakehouse platform/Apache Spark Integration for advanced data processing and analytics. Collaborate with cross-functional teams to understand business needs and translate them into technical solutions. Utilize Databricks for big data processing and streaming analytics.
• Develop and maintain data lakes and data warehouses on AWS and Data Lakehouse Platform, ensuring data integrity and accessibility. Optimize data storage and processing for performance and cost efficiency. Automate data workflows and ensure high data quality and reliability. Monitor, troubleshoot, and resolve data pipeline issues.
• Organizing and managing data within the environment, ensuring stored efficiently, securely, and in a manner that supports easy access and analysis. Monitor the performance of data processes and queries and optimize for efficiency and speed.
• Ensure high standards of data quality and implement data governance practices. Stay current with emerging trends and technologies in cloud computing, big data, and data engineering.
• Provide ongoing support for the platform, troubleshoot any issues that arise, and ensure high availability and reliability of data infrastructure.
• Create documentation for the platform infrastructure and processes, and train other team members or users in platform effectively.
• Collaborate with the global pricing team to design scalable, end-to-end data pipelines that integrate diverse pricing data, including market data, currency exchange rates, and competitive intelligence, into a centralized data lake or warehouse.”
• Work closely with data scientists to deploy machine learning models for price forecasting, price elasticity analysis, and promotional efficacy, ensuring robust model monitoring, version control, and performance optimization on Databricks and AWS
• Design and implement comprehensive global analytical data models, leveraging star schema architecture to optimize query performance and support high-impact pricing analytics and dashboarding within Power BI

What You’ll Need

• BS in Computer Science, IT, Software or Computer Engineering, Data Science or Analytics, Mathematics or related field
• 3-5 years of data engineering experience
• AWS and Databricks certifications preferred

What Will Set You Apart

• Experience in designing, building, and maintaining data warehouses. Understanding of data modeling, data warehousing, and data lake concepts.
• Proficiency in programming languages such as Python, Java, Scala, and scripting languages like Bash or PowerShell.
• Experience with big data technologies, such as Apache Hadoop, Spark, Kafka, and others.
• Proficiency in AWS cloud services and Databricks.
• Proficiency in SQL and experience with relational databases.
• Experience in building and optimizing big data pipelines, architectures, and data sets.
• Familiarity with ETL tools, processes, and data integration techniques.
• Excellent communication and team collaboration skills.
• Hands-on experience deploying and monitoring machine learning models for business-critical use cases (e.g., pricing optimization, demand forecasting, etc.).”
• Proficiency in administering and integrating Databricks with business intelligence tools such as Power BI, including managing security configurations, optimizing performance, and deploying scalable dashboards
• Demonstrated expertise in star schema architecture for global analytical data models to support complex pricing analysis and reporting
• Experience in implementing machine learning algorithms in big data environments preferred.
• Familiarity with DevOps practices and CI/CD pipelines in a cloud environment preferred.

 Valvoline Global is an equal opportunity employer. We are dedicated to fostering an environment where every individual feels valued, respected, and empowered to contribute their unique perspectives and skills. We strictly prohibit discrimination and harassment of any kind, regardless of race, color, religion, age, sex, national origin, disability, genetics, veteran status, sexual orientation, gender identity, or any other legally protected characteristic.

We are committed to ensuring accessibility throughout our recruitment process. If you require a reasonable accommodation to participate in any stage of the recruitment or selection process, please contact us at:.

•    Phone: 1-800-Valvoline
•    Email: 1800valvoline@valvolineglobal.com

This contact information is solely for accommodation requests. For inquiries about application status, please use the appropriate channels listed in your application materials.

Are You Ready to Make an Impact?

At Valvoline Global, we’re looking for passionate and talented individuals to join our journey of innovation and excellence. Are you ready to shape the future with us? Apply today.

Requisition ID: 1324