Description As a GCP Data Engineer, you will be instrumental in modernizing our data infrastructure by building robust, automated ETL/ELT pipelines and leveraging Google Cloud Platform's powerful suite of big data tools. Collaborating closely with Enterprise Architects, you will spearhead the migration from legacy Hadoop/CDP systems to BigQuery. Your daily focus will involve architecting historical and incremental data loads, orchestrating tasks with Apache Airflow, and creating scalable, data-driven solutions that empower the organization with clean, accessible, and organized data.
ResponsibilitiesResponsibilities
- Pipeline Development: Develop and maintain efficient ETL/ELT pipelines, implementing and automating tasks using Apache Airflow.
- Data Architecture: Architect historical and incremental data loads, continuously evaluating and refining the data architecture to ensure optimal performance.
- Data Warehousing: Support, organize, and optimize data within Google BigQuery data warehouses.
- System Migration: Work alongside Enterprise Architects to lead and deliver the migration of data from legacy Hadoop/Cloudera Data Platform (CDP) systems to BigQuery.
- Enterprise Solutions: Design and build end-to-end, GCP data-driven solutions for enterprise data warehouses and data lakes.
Must Have:
- Certification: Professional GCP Data Engineer Certification or equivalent.
- Development Experience: 2+ years of coding experience in Java/Python and Infrastructure as Code using Terraform.
- GCP Expertise: 2+ years of experience working in GCP-based Big Data deployments (both Batch and Real-Time), specifically leveraging BigQuery, Bigtable, Google Cloud Storage, Pub/Sub, Data Fusion, Dataflow, Dataproc, and Airflow.
- Data Design: Proven history of designing and delivering comprehensive data lake and data warehousing solutions.
- Data Processing: Strong hands-on experience in extracting, loading, transforming (ETL/ELT), cleaning, and validating data, as well as designing pipelines and architectures for data processing.
- Database Skills: Proficiency in at least one SQL language.
- Big Data Tools: Practical experience working with Spark services.
- Methodologies: Experience working within Agile and Lean methodologies.
Good to Have (Preferred):
- Data Visualization: Experience using visualization tools such as Qlik or Looker Studio.
- Migration Experience: Proven experience in migrating legacy systems (preferably Big Data Cloudera Data Platform) into GCP technologies.
- Large-Scale Systems: Experience working with either a MapReduce or an MPP (Massively Parallel Processing) system at any size or scale.
Skills Required
- Professional GCP Data Engineer Certification or equivalent
- 2+ years of coding experience in Java or Python
- Infrastructure as Code experience using Terraform
- 2+ years of experience with GCP-based Big Data deployments
- Experience with BigQuery, Bigtable, Google Cloud Storage, Pub/Sub, Data Fusion, Dataflow, Dataproc, and Apache Airflow
- Experience designing and delivering data lake and data warehousing solutions
- Hands-on ETL/ELT, data extraction, loading, transformation, cleaning, validation, pipeline, and data-processing architecture experience
- Proficiency in at least one SQL language
- Practical experience with Spark services
- Experience working within Agile and Lean methodologies
- Experience with data visualization tools such as Qlik or Looker Studio
- Experience migrating legacy systems, preferably Cloudera Data Platform, into GCP technologies
- Experience with MapReduce or MPP systems
Ford Motor Company Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Ford Motor Company and has not been reviewed or approved by Ford Motor Company.
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Healthcare Strength — Medical, dental, and vision coverage start on day one with options that include zero-premium plans, free mental health support, and wellness resources. For represented hourly employees, health plans are described as low-cost with strong coverage value.
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Retirement Support — A 401(k) with company match and additional company contributions is available from day one, alongside life and disability coverage. Pension eligibility in certain situations and financial-planning support reinforce long‑term security.
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Parental & Family Support — Paid parental leave, fertility, surrogacy, and adoption benefits, plus a ramp‑up program for returning parents, reflect a family‑focused package. Flexible Family Care days and generous time‑off options help address short‑term caregiving and personal needs.
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Ford is a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place – one that benefits lives, communities and the planet. We are here to provide the means for every person to move and pursue their dreams, serving as a bridge between personal freedom and the future of mobility. In that pursuit, our 186,000 employees around the world help to set the pace of innovation every day.
