The Data Sherpas

GCP Data Engineer Spark and SQL

Job description

Data Engineer - What you do:

  • Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.
  • Design, implement and deploy new data models and data processes
  • Experience in data processing using traditional and distributed systems such as Hadoop, Spark, Dataproc, Airflow, etc...
  • Experience designing data models and data warehouses and using SQL and NoSQL database management systems.
  • Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.
  • Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
  • Writes unit/integration tests, contributes to engineering wiki, and documents work.
  • Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
  • Defines company data assets and data models, spark, sparkSQL, and hiveSQL jobs to populate data models.
  • Designs data integrations and data quality framework.

Data Engineer - What you bring:

  • BS in Computer Science or a related technical field
  • 4+ years experience with Python or Java
  • 4+ years experience with Spark (Databricks)
  • 4+ years experience with SQL and NoSQL
  • 4+ years of experience with schema design and dimensional data modeling
  • 2+ years experience in AWS or GCP
  • 2+ years experience with Looker or Tableau
  • Ability in managing and communicating data warehouse plans to team members
  • Experience designing, building, and maintaining data processing systems

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