Job#: 2033489

Job Description:

Hybrid On-Site Dearborn MI
12 Month Contract
Skills: Required: Required Technical Skills 4-5 years of experience in: Java/Kotlin with Spring Boot, Rest API's LDAP, Spring Security, DB migration using Liquibase/Flyway Git and Tekton Google Cloud Platform (Google Cloud Platform) Development in Cloud Run/Cloud Function Cloud PubSub and Kafka BigQuery development/operations Cloud Logging/Monitoring principles/operations CI/CD on Google Cloud Terraform Development Knowledge of Dataflow with streaming Preferred: Knowledge of Python is plus Knowledge of Angular is plus Software Quality tools, CheckMarx, Fossa ,42C and CYCODE
Education: Required: Bachelors degree in Computer Science, Computer Engineering, Information Technology or related field. Preferred:
Description: The Ford Data Factory Platform covers all business processes and technical components involved in ingesting a wide range of enterprise data into the Global Data Insight & Analytics Data Factory (Data Lake) and the transformation of that data into consumable data sets in support of analytics. This role will be part of our Ingest Pattern team which owns end-to-end responsibility to design, build and support ingestion solutions that allow ingesting teams to quickly build pipelines to ingest data into the Data Factory Platform. These ingestion solutions provide a framework and code templates that provide no/low code solutions for developers and operators to deploy data pipelines to our Google Cloud Platform (Google Cloud Platform) based Data Factory environment. The Data Factory ingestion patterns include a mix of in-house developed components leveraging native Google Cloud Platform services and 3rd party data products such as airflow. Experience Required: Minimum 4-5 years of experience with large scale solutioning and operationalization of data warehouses, data lakes and analytics platforms on Google Cloud Platform is a must. We are looking for a Senior developer who is well versed with Google Cloud Services, can lead, support, and manage existing applications while developing new deliverables on Google Cloud Platform. Industry Knowledge: Knowledge of coding best practices and production code standards The ability to quickly propose Google Cloud Platform-based solutions by recalling the latest best practices learned from Google documentation, whitepapers, and community publications is required. Working with Agile and Lean methodologies Experience Preferred: 0 Additional Safety Training/Licensing/Personal Protection Requirements: Additional Information: This is NOT a remote position. Must be able to come into the Dearborn office at least weekly and occasionally more frequently as required. Google Cloud Platform Engineer Required
EEO Employer
Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at or .

Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Google Cloud Platform Data Engineer