Cloud Data Engineer

Overview

Why Valvoline Global Operations?

Valvoline Global is a worldwide leader in automotive and industrial solutions, creating future-ready products and best-in-class services for partners around the globe.

Established in 1866, we introduced the world’s first branded motor oil, claiming our position as The Original Motor Oil.

As an affiliate of Aramco, one of the world's largest integrated energy and chemicals companies, we continue to invest strategically and expand globally, driving unparalleled product innovation and sustainable business solutions.

Our corporate values of care , integrity , passion , and excellence shape everything we do. Living out our values is what makes our company, our employees, our partners, our customers, and the communities we serve great.

When you join Valvoline Global, you join a culture that is committed to : treating all people with care, operating with integrity, striving for excellence in everything we do, and showing passion about delivering on our commitments.

Careers for the Driven

Valvoline has a rewarding opportunity as a Cloud Data Engineer. We whole-heartedly adopt a never idle' mindset. We also know that outstanding service begins and ends with our employees.

So, we’re looking for good people to join our team. You bring your skills, talents, and drive. We will give you a great place to work, a competitive salary and benefits, and the resources and support to develop and advance within our global company.

The Cloud 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.

How You’ll Make an Impact

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.

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

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.

Must be authorized to work in the U.S.

What Will Set You Apart

AWS and Databricks certifications.

Experience in implementing machine learning algorithms in big data environments.

Familiarity with GitHub, DevOps practices and CI / CD pipelines in a cloud environment.

Benefits That Drive Themselves

Health insurance plans (medical, dental, vision)

HSA and flexible spending accounts

401(k)

Incentive opportunity*

Life insurance

Short and long-term disability insurance

Paid vacation and holidays*

Employee Assistance Program

Employee discounts

Tuition reimbursement*

Adoption assistance*

Terms and conditions apply, and benefi ts may differ depending on position.

Valvoline provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Are you good at what you do? Join us.

The Company endeavors to make its recruitment process accessible to any and all users. Reasonable accommodations will be provided, upon request, to applicants with disabilities in order to facilitate equal opportunity throughout the recruitment and selection process.

Please contact Human Resources at 1-800-Valvoline or email [email protected] to make a request for reasonable accommodation during any aspect of the recruitment and selection process.

The contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications.

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Job Locations US-Remote

Job Post Information : Posted Date

1 month ago (5 / 6 / 2024 1 : 59 PM)

Division Global Operations

Requisition # 2024-40703

of Openings 1