Location: Must be based in the U.S., UK, or Netherlands; fully remote with East Coast U.S. hours 9am-6pm EST
What you will do
- Design and maintain scalable distributed transactional data processing systems
- Optimize resource usage for Kafka, Hadoop, Presto, Spark, and Kubernetes
- Monitor data quality and increase data accessibility for analysts and developers
- Collaborate with a diverse small team and mentor junior members
Requirements
- 6+ years of data engineering experience
- Fluency in Python and SQL
- Strong recent Spark experience
- Experience with Hadoop, Hive, and on-prem environments
- Proficiency in Linux and understanding of RDBMS and query optimization
- Notice period less than or equal to 2 months
Nice to have
- Experience in Scala/Java (polyglot programming)
- Knowledge of distributed production systems and cloud migration (AWS/GCP/Azure)
Culture & Benefits
- Opportunity for personal and professional growth
- Use of cutting-edge open-source technologies
- Fully remote work with flexible location options
Hiring process
- Recruiter screen
- Hiring manager interview
- CodeSignal online assessment
- Technical challenge
- Interviews with senior data engineer and team
- Final interviews with SVP of Engineering and Sr. Director, DBA
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