Data Engineer

Responsibilities

• Build scalable data pipelines using BigQuery, Dataflow, and Cloud Composer. 
• Develop ELT transformations and data models using dbt following modular, testable, and governed practices. 
• Apply advanced data warehousing techniques, performance optimization, partitioning, clustering, and data modeling patterns. 
• Implement data governance, quality rules, lineage, and metadata workflows through Dataplex. 
• Develop production-ready code in Python/Java for orchestration, automation, and data processing. 
• Collaborate with analytics, product, and business teams (including HR/Workday domains) to define data requirements. 
• Ensure secure, reliable, and cost-optimized data pipelines aligned to best practices. 
  • Support CI/CD, monitoring, troubleshooting, and continuous improvement of pipelines and dbt models.