GCP Data Engineer

Position Description: 
*Our 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. 

Skills Required: 
*Required Technical Skills 4-5 years of experience in: 
*Java/Kotlin with Spring Boot, Rest API’s 
*LDAP, Spring Security, 
*B 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 

Skills Preferred: 
*Knowledge of Python is plus 
*Knowledge of Angular is plus 
*Software Quality tools, CheckMarx, Fossa ,42C and CYCODE