Lead Data Engineer
LumosFull Time
Expert & Leadership (9+ years)
Key technologies and capabilities for this role
Common questions about this position
Candidates need 5+ years of professional experience in software or data engineering, proven track record building and optimizing large-scale batch and streaming data systems, proficiency with Spark, Spark Streaming, Airflow, and either Python or Scala, deep understanding of distributed system design, data modeling, and performance optimization, strong experience with test-driven development and CI/CD practices.
You'll design and develop scalable data processing workflows and microservices using Spark, Spark Streaming, and Airflow, write modular code in Python or Scala, lead system components, diagnose issues in distributed systems, and collaborate with cross-functional teams.
This information is not specified in the job description.
This information is not specified in the job description.
A strong candidate has 5+ years in software or data engineering, proficiency in Spark, Airflow, Python or Scala, experience with large-scale data systems, distributed design, TDD, CI/CD, and the ability to drive technical outcomes independently, plus nice-to-haves like graph data models.
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