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 (GCP) * 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 CYCODEEducation: 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 (GCP) based Data Factory environment. The Data Factory ingestion patterns include a mix of in-house developed components leveraging native GCP 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 GCP 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 GCP. Industry Knowledge: * Knowledge of coding best practices and production code standards * The ability to quickly propose GCP-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.