Data Engineer

November 15

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Logo of Ziff Davis

Ziff Davis

Technology β€’ Shopping β€’ Gaming and Entertainment β€’ Connectivity β€’ Health

1001 - 5000 employees

Founded 1927

πŸ“± Media

πŸ’° $650M Post-IPO Debt on 2017-06

Description

β€’ Develop high volume data processing jobs across various platforms including Redshift, Athena, Iceberg, Spark and Airflow β€’ Work closely with Data Scientists to turn theory and methodology into viable products β€’ Identify bottlenecks in system performance and make recommendations on improving process efficiency β€’ Support and collaborate with data scientists, analysts, and product managers

Requirements

β€’ Bachelor's degree in Computer Science or related field or equivalent experience β€’ Strong understanding of programming concepts with experience in at least 1 OOP language (Python, Scala, Java) β€’ Strong background and 3+ years of direct experience working with Python β€’ Experience with high volume distributed data processing in Spark β€’ Strong working knowledge of SQL, databases (MySQL / Redshift / Athena / Trino), data modeling, and modern data warehouse (lakehouse) management β€’ Excellent troubleshooting and analysis skills β€’ Excited to learn and work with new technologies in a dynamic environment β€’ Strong communication skills both in person and via virtual mediums β€’ Strong time management skills and a self-driven work ethic β€’ Experience with AWS cloud services is a plus β€’ Experience with event driven architecture and streaming data pipelines is a plus β€’ Background check required

Benefits

β€’ 401(k) matching β€’ Unlimited PTO β€’ Employee Stock Purchase Plan options β€’ Health/dental/vision insurance coverage β€’ Wellness benefits (Calm app, gym reimbursement, ERG groups, etc) β€’ Employee Assistance Programs (EAP) (mental health, financial advice, legal guidance, and more) β€’ Maven Fertility options β€’ Pregnancy support β€’ Pet insurance β€’ Enhanced parental leave β€’ Disability coverage β€’ Excellent hardware, software, and tools β€’ Tuition reimbursement β€’ Educational opportunities β€’ Anti-racism and LGBTQIA+ resource libraries β€’ Transit passes β€’ Team happy hours and activities β€’ Gym reimbursements

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