Responsibilities

  • Design, develop, and maintain scalable ETL and ELT data pipelines within the BigQuery and GCP ecosystem.
  • Write and optimize advanced SQL queries for data processing, validation, troubleshooting, and performance improvement.
  • Develop production-grade data solutions using Python or Node.js to support enterprise marketing and online analytics initiatives.
  • Perform data validation, debugging, and root cause analysis to ensure data accuracy and operational reliability.
  • Collaborate with data, product, and engineering stakeholders to address business requirements and deliver data-driven solutions.
  • Support production environments by resolving data issues, monitoring workflows, and ensuring minimal operational disruption.
  • Contribute to backlog enhancements, system optimization efforts, and continuous improvement initiatives across data platforms.
  • Maintain documentation, governance standards, and best practices for data engineering and operational processes.
  • Communicate project progress, risks, dependencies, and solution updates effectively across technical and business teams.


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