Bachelor's Degree in a quantitative field
3+ years of work experience or equivalent practical experience
2+ years of experience with Python, Java or Scala
Experience designing and implementing data pipelines
Experience with SQL and Spark
Designing Logical Data Model and Physical Data Models including data warehouse and data lake designs
Expertise in writing complex, highly optimized queries across large data sets
Cloud System experience on with GCP
Design, build, test and deploy cutting edge Big Data solutions at scale
Extract, Clean, transform, and analyze vast amounts of raw data from various Data Sources
Build data pipelines and API integrations with various internal systems
Proactively monitor, identify, and escalate issues or root causes of systemic issues
Evaluate and communicate technical risks effectively and ensure assignments delivery in scheduled time with desired quality
Work across Data Engineering, Data Architecture, Data Science functions

Data Engineer I

Key skills