Build scalable distributed data systems processing TBs daily and a petabyte warehouse
Design data models and analytics-ready datasets
Develop data pipelines focused on data quality and resilience to poor sources
Own data mapping, business logic, transformations, and data quality standards
Debug, measure performance, and optimize on large production clusters
Participate in architecture discussions and drive new projects from inception to delivery

🎯 Requirements

8+ years of professional Data Engineer experience
Extensive SQL skills with complex queries
Proficiency in Python
Experience with Hadoop, Hive, Kafka, Spark, Airflow, Presto/Trino
Deep Spark expertise: tuning and scalable pipelines
Data modeling and data quality standards

🎁 Benefits

Health insurance
Equity awards
Life insurance
Disability benefits
Parental leave
Paid time off

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