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 We are looking for a Data ETL Engineer to design, build, and maintain scalable BigQuery data models and ETL/ELT pipelines. You will turn raw data into structured, business-ready datasets, optimize performance, ensure data quality, and support secure, cost-efficient cloud 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] Requirements: SQL, Python, Terraform, Cloud, ETL, Vault, GCP, PUB, Cloud Composer, CD pipelines, BigQuery, SFTP, CSV, JSON, XML, Java