Cloud Data Engineer

3 weeks ago

Columbus, Ohio, United States Ford Motor Company Full time
Job Summary

At Ford Motor Company, we're seeking a highly skilled Cloud Data Engineer to join our team. As a Cloud Data Engineer, you will be responsible for designing and implementing data-centric solutions on Google Cloud Platform (GCP) using various GCP tools. Your expertise will be crucial in building ETL pipelines to ingest data from heterogeneous sources, developing data processing pipelines using programming languages like Java and Python, and creating and maintaining data models for efficient storage, retrieval, and analysis of large datasets.

Key Responsibilities
  • Design and implement data-centric solutions on GCP using various GCP tools.
  • Build ETL pipelines to ingest data from heterogeneous sources.
  • Develop data processing pipelines using programming languages like Java and Python.
  • Create and maintain data models for 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.

Requirements
  • 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, preferably implementing complete data-centric models.
  • Automotive experience is preferred.
  • Support in an onshore/offshore model is preferred.
  • Excellent problem-solving and prevention skills.
  • Knowledge and practical experience of agile delivery.
  • Experience in IDOC processing, APIs, and SAP data migration projects is a plus.
  • Experience working in SAP S4 Hana environment is a plus.

About Ford Motor Company

At Ford Motor Company, we offer a work-life balance 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. We're 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. If you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

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