About this role
This is an exciting and fast-paced role, which requires exceptional technical data and Data Engineering skills with the opportunity to create huge impact to Ford Pro Commercial business.
Pro 360 Data Analytics & AI Portfolio: Leads design and product teams wi create the operational core data capability for Ford Pro Tech. Includes ETL processes, multi-tier data model designs and implementations, data quality strategy & monitoring, plus domain expertise of data sets in the environment, third-party data evaluations, data quality, creating intelligence layers for ease of use.
Qualifications for Internal Candidates
Minimum Qualifications
- Bachelors Degree
- 3+ years of experience with SQL and Python
- 2+ years of experience with GCP or AWS cloud services; Strong candidates with 5+ years in a traditional data warehouse environment (ETL pipelines with Informatica) will be considered
- 3+ years of experience building out data pipelines from scratch in a highly distributed and fault-tolerant manner.
- Comfortable with a broad array of relational and non-relational databases.
- Proven track record of building applications in a data-focused role (Cloud and Traditional Data Warehouse)
Preferred Skills:
- Experience with GCP cloud services including BigQuery, Cloud Composer, Dataflow, CloudSQL, GCS, Cloud Functions and Pub/Sub.
- 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.
- 1+ year 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.
- M.S. in a science-based program and/or quantitative discipline with a technical emphasis.