Description

You will design, build, and support ingestion solutions within the GCP-based Data Factory environment, owning end-to-end delivery of data pipelines and infrastructure.

This role is on-site.

Responsibilities

• Design and build end-to-end ingestion solutions and code templates to enable rapid pipeline deployment.
• Develop no/low-code frameworks for developers and operators to ingest enterprise data into the Data Lake.
• Maintain and support in-house components leveraging native GCP services and third-party products like Airflow.
• Manage data transformations to produce consumable datasets for analytics.
• Implement CI/CD pipelines using Git and Tekton on Google Cloud.

Required Skills

• 5+ years of experience in data engineering or software development.
• Java or Kotlin with Spring Boot and REST APIs.
• Google Cloud Platform (GCP) including Cloud Run, Cloud Functions, and Cloud PubSub.
• BigQuery development and operations.
• Terraform for infrastructure development.
• Kafka and Cloud PubSub for messaging.
• Database migrations using Liquibase or Flyway.
• Cloud Logging and Monitoring principles.

Preferred Skills

• Python and Angular.
• Experience with software quality tools including CheckMarx, Fossa, 42C, and CYCODE.

Key Skills

Education

Bachelor's degree in Computer Science