Data Engineer

hace 1 mes

Naucalpan de Juárez, México Ford Motor Company A tiempo completo
Job Title: Data Engineer

At Ford Motor Company, we are seeking a highly skilled Data Engineer to join our Global Data Insights & Analytics team. As a Data Engineer, you will play a critical role in developing scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization.

Key Responsibilities:
  • Design, develop, and implement data engineering solutions using standards, templates, patterns, and best practices in the Google Cloud Platform.
  • Collaborate with the Data Factory Engineering Organization, Data Architecture, PEM, GDIA, Information Technology, and Data Consumers to drive data engineering capabilities, product design, and proof of concepts.
  • Create high-quality, elegant data engineering solutions that focus on cloud-first, encapsulation, repeatability, automation, and auditability.
  • Work as an individual contributor and part of a team to build, test, maintain, and troubleshoot data solutions.
  • Continuously integrate and deploy data solutions via CI/CD.
  • Use Test Driven Development and Code Pairing Practices.
Requirements:
  • Bachelor's degree in a Technical Field: Computer Science, Data Science, Computational Finance, Statistics, Economics, and/or Mathematics: Masters Preferred.
  • 5+ years of experience in data solution, pipeline, mart, and/or warehouse development and delivery using agile development methodology.
  • Critical thinking skills to propose solutions, test, and make them a reality.
  • 2+ years of experience in a Data Engineering Competency on a public cloud - Google, MS Azure, AWS.
  • 2+ years Integration and Configuration Scripting in Tekton and Terraform.
  • 3+ years of experience writing complex SQL.
  • 3+ years of experience writing data solutions in Python, Java, Scala, or Go.
  • Deep understanding of data service ecosystems including data warehouses, lakes, metadata, meshes, fabrics, and analytical use cases.
  • User experience advocacy through empathetic stakeholder relationship.
  • Excellent Communication Skills, Verbal and Written, for both internal and external team members.
Desired Skills:
  • 2+ years Extensive knowledge and understanding of GCP offerings, bundled services, especially those associated with data operations Cloud Console, BigQuery, Data Flow, Data Fusion, PubSub/Kafka, Looker Studio, and VertexAI.
  • Experience with Teradata, Hadoop, Hive, Spark, and other on-premise/legacy data solutions.
  • Experience optimizing data solutions and data science/analytical workflows: re-coding/re-developing/re-factoring.
  • Data Governance concepts including GDPR (General Data Protection Regulation), CCPA (California Consumer Protection Act), PoLP, and how these can impact technical architecture.
About Ford Motor Company:

Ford Motor Company is an Equal Opportunity Employer, committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability.

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