2 days ago
• Develop high volume data processing jobs across various platforms including Redshift, Athena, Iceberg, Spark and Airflow • Work closely with Data Scientists to turn theory and methodology into viable products • Identify bottlenecks in system performance and make recommendations on improving process efficiency • Support and collaborate with data scientists, analysts, and product managers
• Bachelor's degree in Computer Science or related field or equivalent experience • Strong understanding of programming concepts with experience in at least 1 OOP language (Python, Scala, Java) • Strong background and 3+ years of direct experience working with Python • Experience with high volume distributed data processing in Spark • Strong working knowledge of SQL, databases (MySQL / Redshift / Athena / Trino), data modeling, and modern data warehouse (lakehouse) management • Excellent troubleshooting and analysis skills • Excited to learn and work with new technologies in a dynamic environment • Strong communication skills both in person and via virtual mediums • Strong time management skills and a self driven work ethic • Experience with AWS cloud services is a plus • Experience with event driven architecture and streaming data pipelines is a plus
• 401(k) matching • Unlimited PTO • Employee Stock Purchase Plan options • Health/dental/vision insurance coverage • Wellness benefits (Calm app, gym reimbursement, ERG groups, etc) • Employee Assistance Programs (EAP) (mental health, financial advice, legal guidance, and more) • Maven Fertility options • Pregnancy support • Pet insurance • Enhanced parental leave • Disability coverage • Excellent flexibility for working remotely • Tuition reimbursement • Educational opportunities • Anti-racism and LGBTQIA+ resource libraries • Transit passes • Team happy hours and activities • Gym reimbursements
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