CLOUD DATA ENGINEER
Company: Ford Motor Company
Location: Little Rock
Posted on: October 15, 2024
Job Description:
We are the movers of the world and the makers of the future. We
get up every day, roll up our sleeves and build a better world --
together. At Ford, we're all a part of something bigger than
ourselves. Are you ready to change the way the world
moves?Enterprise Technology plays a critical part in shaping the
future of mobility. If you're looking for the chance to leverage
advanced technology to redefine the transportation landscape,
enhance the customer experience and improve people's lives, this is
the opportunity for you. Join us and challenge your IT expertise
and analytical skills to help create vehicles that are as smart as
you are.Materials Management Platform (MMP) is a multi-year
transformation initiative aimed at transforming Ford's Materials
Requirement Planning & Inventory Management capabilities. This is
part of a larger Industrial Systems IT Transformation effort. This
position responsibility is to design & deploy Data Centric
Architecture in GCP for Materials Management platform which would
get / give data from multiple applications modern & Legacy in
Product Development, Manufacturing, Finance, Purchasing, N-Tier
Supply Chain, Supplier Collaboration
- Design and implement data-centric solutions on Google Cloud
Platform (GCP) using various GCP tools like Storage Transfer
Service, Cloud Data Fusion, Pub/Sub, Data flow, Cloud compression,
Cloud scheduler, Gutil, FTP/SFTP, Dataproc, BigTable etc.
- Build ETL pipelines to ingest the data from heterogeneous
sources into our system
- Develop data processing pipelines using programming languages
like Java and Python to extract, transform, and load (ETL)
data
- Create and maintain data models, ensuring efficient storage,
retrieval, and analysis of large datasets
- Deploy and manage databases, both SQL and NoSQL, such as
Bigtable, Firestore, or Cloud SQL, based on project
requirements
- Collaborate with cross-functional teams to understand data
requirements and design scalable solutions that meet business
needs.
- Implement security measures and data governance policies to
ensure the integrity and confidentiality of data.
- Optimize data workflows for performance, reliability, and
cost-effectiveness on the GCP infrastructure.
- Work with data scientists and analysts to integrate machine
learning models into data pipelines for predictive analytics.
- Troubleshoot and resolve issues related to data processing,
storage, and retrieval.
- Stay updated on industry best practices and emerging
technologies within the GCP ecosystem for continuous improvement of
data engineering processes.
- Collaborate with stakeholders to gather and define data
requirements, ensuring alignment with business objectives.
- Design and implement scalable, fault-tolerant solutions for
data ingestion, processing, and storage.
- Develop and maintain documentation for data engineering
processes, ensuring knowledge transfer and ease of system
maintenance.
- Utilize GCP monitoring and logging tools to proactively
identify and address performance bottlenecks and system
failures.
- Implement version control and CI/CD practices for data
engineering workflows to ensure reliable and efficient
deployments.
- Collaborate with DevOps teams to automate infrastructure
provisioning and management tasks.
- Optimize and tune database queries and indexing strategies for
improved query performance.
- Stay abreast of advancements in GCP services and incorporate
relevant technologies into data engineering solutions.
- Provide mentorship and guidance to junior team members,
fostering a collaborative and knowledge-sharing environment.
- Participate in on-call rotations to address critical issues and
ensure the reliability of data engineering systems.
- Bachelor's degree or equivalent work experience (minimum of 12
years), or an associate degree with a minimum of 6 years of
equivalent work experience
- At least 5 years of experience in leading/implementing GCP data
projects, preferrable implementing complete data centric model
- Automotive experience is preferred
- Support in an onshore/offshore model is preferred
- Excellent at problem solving and prevention.
- Knowledge and practical experience of agile deliveryEven
better, you may have..
- Experience in IDOC processing, APIs and SAP data migration
projects.
- Experience working in SAP S4 Hana environmentYou may not check
every box, or your experience may look a little different from what
we've outlined, but if you think you can bring value to Ford Motor
Company, we encourage you to apply!As an established global
company, we offer the benefit of choice. You can choose what your
Ford future will look like: will your story span the globe, or keep
you close to home? Will your career be a deep dive into what you
love, or a series of new teams and new skills? Will you be a
leader, a changemaker, a technical expert, a culture builder---or
all of the above? No matter what you choose, we offer a work life
that works for you, including:--- Immediate medical, dental, and
prescription drug coverage--- Flexible family care, parental leave,
new parent ramp-up programs, subsidized back-up child care and
more--- Vehicle discount program for employees and family members,
and management leases--- Tuition assistance--- Established and
active employee resource groups--- Paid time off for individual and
team community service--- A generous schedule of paid holidays,
including the week between Christmas and New Year's Day--- Paid
time off and the option to purchase additional vacation time.For a
detailed look at our benefits, click here: Benefit Summary
(https://corporate.ford.com/content/dam/corporate/us/en-us/documents/careers/2024-benefits-and-comp-GSR-sal-plan-2.pdf)This
position is a salary grade 7-8 .This position is a range of salary
grades 7-8.Visa sponsorship is not available for this
position.Candidates for positions with Ford Motor Company must be
legally authorized to work in the United States. Verification of
employment eligibility will be required at the time of hire.We are
an Equal Opportunity Employer committed to a culturally diverse
workforce. All qualified applicants will receive consideration for
employment without regard to race, religion, color, age, sex,
national origin, sexual orientation, gender identity, disability
status or protected veteran status. In the United States, If you
need a reasonable accommodation for the online application process
due to a disability, please call 1-888-336-0660.#
LI-HybridRequisition ID : 34761
Keywords: Ford Motor Company, North Little Rock , CLOUD DATA ENGINEER, Engineering , Little Rock, Arkansas
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