Data ETL Engineer

Link Group is hiring a Data ETL Engineer to design, build, and maintain scalable BigQuery data models and ETL/ELT pipelines, turning raw data into structured, business-ready datasets while optimizing performance and ensuring data quality in cloud environments.

• 3+ years of experience with SQL and complex data transformations (preferably in BigQuery)
• Experience building ETL/ELT pipelines and working with Data Vault models
• Hands-on experience with GCP services: Cloud Composer/Airflow, Cloud Run, Pub/Sub
• Proficiency in Python and Terraform
• Familiarity with CI/CD pipelines and version control (Git)
• Experience in Agile and DataOps environments
• Strong analytical and problem-solving skills

Nice to have:

• Experience with data ingestion pipelines using Data Fusion/CDAP or similar tools
• Experience ingesting data from APIs, SFTP, CSV, JSON, or XML
• Knowledge of modern data contract practices
• Java development experience (e.g., custom plugins for Data Fusion)
• Experience with CI/CD for cloud-based data solutions

• Design, build, test, and deploy BigQuery data models and transformations
• Develop and maintain ETL/ELT pipelines based on Data Vault principles
• Integrate data from multiple sources while ensuring accuracy and consistency
• Optimize SQL queries and pipelines for performance, scalability, and cost
• Monitor pipelines and troubleshoot failures or performance issues
• Implement CI/CD processes and manage code with Git and Jenkins
• Collaborate in Agile teams and support knowledge transfer to operations