GCP Java Full Stack Developer

2 months ago


Southfield, United States Stefanini North America and APAC Full time

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 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 environment. The Data ingestion patterns include a mix of in-house developed components leveraging native GCP services and 3rd party data products such as airflow.


Experience Required

  • 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
  • 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.
  • 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:

  • Knowledge of Python is plus
  • Knowledge of Angular is plus
  • Software Quality tools, CheckMarx, Fossa ,42C and CYCODE

Education Required:

  • Bachelor's degree in Computer Science, Computer Engineering, Information Technology or related field.


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