Job description

ComResource is seeking an experienced Data Engineer. You will architect, build, and optimize large-scale data pipelines and analytics platforms that turn data into actionable insights.


  • Design scalable and reliable data lake architecture, ETL processes, and data modeling solutions
  • Develop and maintain optimized data pipelines, SQL queries, and data processing systems on Google Cloud Platform
  • Leverage technologies like BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Storage to ensure smooth data flow from source to output
  • Collaborate with stakeholders to understand business needs and deliver data-driven solutions that enable smarter decisions
  • Monitor data pipeline health, troubleshoot issues, and ensure integrity through rigorous testing and quality standards
  • Stay up-to-date on the latest GCP services and data engineering best practices to improve developer productivity
  • Coach and mentor junior data engineers in designs, technologies, and techniques


  • 5+ years of Data engineering experience with expertise in GCP services
  • Ability to design complex data models supporting petabyte-scale data volumes
  • Excellence writing, tuning, and optimizing large-scale BigQuery SQL queries
  • Proficiency with Python, Java, Scala or related programming languages
  • Experience building enterprise-grade ETL and data integration processes
  • Deep understanding of data structures, pipeline orchestration, logging, monitoring, and alerting
  • Track record of delivering high-quality data solutions on time
  • Strong analytical abilities and technical leadership skills
  • BS/MS in Computer Science, Engineering or a quantitative field

We are looking for someone passionate about harnessing the power of data to drive meaningful change.

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