Cloud Data Engineer
Company: Valvoline Global
Location: Little Rock
Posted on: April 19, 2024
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Job Description:
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
1-800Valvoline@valvoline.com 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.
#LI-DS1
Job Locations US-Remote
Job Post Information : Posted Date* 7 hours ago (4/17/2024 3:41
PM)
Division Global Operations
Requisition # 2024-40703
# of Openings 1
Keywords: Valvoline Global, North Little Rock , Cloud Data Engineer, Engineering , Little Rock, Arkansas
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