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Cloud Data Engineer

2 months ago

Houston, Texas, United States Ford Motor Company Full time
About the Role

We are seeking a highly skilled Cloud Data Engineer to join our team at Ford Motor Company. As a Cloud Data Engineer, you will play a critical role in designing, building, and launching shared data services to support our business operations.

Key Responsibilities
  • Develop EL/ELT/ETL pipelines to make data available in BigQuery analytical data store from disparate batch, streaming data sources for the Salesforce, Business Intelligence, and Data Science teams.
  • Work with on-prem data sources (Hadoop, SQL Server) and Cloud data sources (GCP) to understand the data model, business rules behind the data, and build data pipelines (with GCP) for one or more Ford Pro verticals.
  • Build cloud-native services and APIs to support and expose data-driven solutions.
  • Partner closely with our data scientists to ensure the right data is made available in a timely manner to deliver compelling and insightful solutions.
  • Design, build, and launch shared data services to be leveraged by the internal and external partner developer community.
  • Manage, optimize, and Monitor data pipelines.
  • Provide extensive technical, strategic advice and guidance to key stakeholders around data transformation efforts.
Requirements
  • Bachelor's degree in Computer Science, Engineering, Data Analytics, or related field, or a combination of education and equivalent work experience.
  • 3+ years of experience with SQL and Python.
  • 2+ years of experience with GCP or AWS cloud services.
  • 3+ years of experience building out data pipelines from scratch in a highly distributed and fault-tolerant manner.
  • 3+ years of experience with a broad array of relational and non-relational databases.
  • 2+ years of experience building applications in a data-focused role (Cloud and/or Traditional Data Warehouse).
Preferred Qualifications
  • Master's Degree in a science-based program and/or quantitative discipline with an emphasis on data analysis.
  • Experience with GCP cloud services, including BigQuery, Cloud Composer, Dataflow, CloudSQL, GCS, Cloud Functions, and Pub/Sub.
  • Data warehouse environment experience, such as ETL pipelines with Informatica.
  • Inquisitive, proactive, and interested in learning new tools and techniques.
  • Familiarity with big data and machine learning tools and platforms.
  • Comfortable with open-source technologies, including Apache Spark, Hadoop, Kafka.
  • Experience with Hive, Spark, Scala, JavaScript.
  • Strong oral, written, and interpersonal communication skills.
  • Comfortable working in a dynamic environment where problems are not always well-defined.
About Ford Motor Company

Ford Motor Company is an established global company that offers a work-life balance that works for you. We provide a range of benefits, including immediate medical, dental, and prescription drug coverage, flexible family care, parental leave, new parent ramp-up programs, subsidized back-up childcare, and more.

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.