
1001 - 5000 employees
Founded 1927
💼 Consulting
🏥 Healthcare
📣 Marketing
💰 $650M Post-IPO Debt on 2017-06
Consulting • Healthcare • Marketing
Ziff Davis is a multi-billion dollar digital media and internet company, home to over 40 leading brands in technology, shopping, gaming and entertainment, connectivity, health and wellness, cybersecurity, and martech. With a focus on mergers and acquisitions, Ziff Davis has deployed around $3 billion in capital, leveraging its deep industry knowledge, technological expertise, and investment acumen. The company is committed to corporate responsibility, emphasizing diversity, equity, and inclusion, as well as environmental, social, and governance practices. Ziff Davis serves millions of customers worldwide, offering a diverse range of digital media and internet services.
🕒 Yesterday
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1001 - 5000 employees
Founded 1927
💼 Consulting
🏥 Healthcare
📣 Marketing
💰 $650M Post-IPO Debt on 2017-06
Consulting • Healthcare • Marketing
Ziff Davis is a multi-billion dollar digital media and internet company, home to over 40 leading brands in technology, shopping, gaming and entertainment, connectivity, health and wellness, cybersecurity, and martech. With a focus on mergers and acquisitions, Ziff Davis has deployed around $3 billion in capital, leveraging its deep industry knowledge, technological expertise, and investment acumen. The company is committed to corporate responsibility, emphasizing diversity, equity, and inclusion, as well as environmental, social, and governance practices. Ziff Davis serves millions of customers worldwide, offering a diverse range of digital media and internet services.
• Develop high-volume data processing jobs across Redshift, Athena, Iceberg, Spark, and Airflow • Work closely with Data Scientists to turn theory and methodology into viable products • Identify system performance bottlenecks and recommend process-efficiency improvements • Support and collaborate with data scientists, analysts, and product managers • Mentor and guide junior team members on architectural principles, best practices, and effective ways of working • Build tools, libraries, and operations supporting data scientists and analysts working with mobile and fixed internet performance data
• Bachelor's degree in Computer Science or related field or equivalent experience • Strong understanding of programming concepts • Experience in at least one object-oriented programming language: Python, Scala, or Java • 6+ years of direct experience working with Python • Experience with high-volume distributed data processing in Spark • Strong working knowledge of SQL, MySQL, Redshift, Athena, Trino, data modeling, and modern data warehouse/lakehouse management • Excellent troubleshooting and analysis skills • Strong communication skills in person and via virtual mediums • Strong time management skills and self-driven work ethic • Background check required • Experience with AWS cloud services is a plus • Experience with event-driven architecture and streaming data pipelines is a plus
• Flexible work environment • Individuality, fun, and talent valued equally
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