Data Engineer

hace 3 semanas

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

At Ford De México, we are seeking a highly skilled Data Engineer to join our Global Data Insight & Analytics team. As a Data Engineer, you will play a critical role in designing, developing, and implementing data engineering solutions using standards, templates, patterns, and best practices in the Google Cloud Platform.

Responsibilities:
  • Design and develop full-stack data engineering solutions utilizing both structured and unstructured data: development, ingestion, curation, implementation, deployment, automation, and monitoring.
  • 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.
Qualifications:
  • 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.

Ford De México is an Equal Opportunity Employer, committed to a diverse workforce, and does 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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