Experienced Data Engineer (L5) - Customer Service at careerzynith

• *Join careerzynith, a global leader in entertainment services, and revolutionize the way we experience storytelling. As a Data Engineer (L5) - Customer Service, you'll play a pivotal role in shaping the future of entertainment by leveraging data to drive customer satisfaction and product improvement.**

• *About careerzynith**

careerzynith is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films, and games across a wide variety of genres and languages. Our mission is to deliver an incredible customer experience, and we're committed to using data to rigorously measure, optimize, and personalize our Customer Service investments to enable a delightful, efficient experience and to improve our product based on what our members tell us.

• *The Role**

As a Data Engineer (L5) - Customer Service at careerzynith, you'll collaborate with data engineers, software engineers, and CS business owners to build reliable, scalable data pipelines, transform raw data into core business metrics, and work with custom visualization tools that surface CS insights. You'll be part of a small team, requiring a high degree of autonomy, strong technical judgment, and the ability to span across the data stack, from pipeline development to business metrics and tools.

• *Key Responsibilities:**

• Design, develop, and maintain large-scale data pipelines using big data technologies (Hive, Presto, Spark, Flink) on medium to large-scale data sets (10s of millions of records)
• Collaborate with data engineers, software engineers, and CS business owners to build reliable, scalable data pipelines and transform raw data into core business metrics
• Work with custom visualization tools that surface CS insights and drive customer satisfaction and product improvement
• Develop and maintain advanced SQL skills and advocate for data quality
• Analyze business problems and prioritize autonomously to drive data-driven decision-making
• Communicate effectively with analysts, engineers, and business leaders to drive collaboration and results

• *Essential Qualifications:**

• At least 4 years of experience engineering data pipelines using big data technologies (Hive, Presto, Spark, Flink) on medium to large-scale data sets (10s of millions of records)
• Strong data modeling skills, designing structures that are adaptable to changes in the source data or business processes
• Strong proficiency in Python or Scala and passion for writing clean, supportable code
• Advanced SQL skills and advocacy for data quality
• Analytical aptitude to think through business problems and prioritize autonomously
• Strong communication and productive partnership with analysts, engineers, and business leaders

• *Preferred Qualifications:**

• Experience working with cloud-based data platforms (e.g., AWS, GCP, Azure)
• Familiarity with data visualization tools (e.g., Tableau, Power BI)
• Experience with machine learning and predictive analytics
• Strong understanding of data governance and data quality principles

• *careerzynith Culture**

careerzynith's culture is an integral part of what makes us successful, and we approach diversity and inclusion seriously and thoughtfully. We are an equal-opportunity employer and celebrate diversity, recognizing that bringing together different perspectives and backgrounds helps build stronger teams.

• *Compensation and Benefits**

careerzynith offers a comprehensive compensation structure, including an annual salary, with a range of $170,000 - $720,000. You'll also have the opportunity to choose how much of your compensation you want in salary versus stock options. careerzynith provides comprehensive benefits, including:

• Health Plans
• Mental Health support
• 401(k) Retirement Plan with employer match
• Stock Option Program
• Disability Programs
• Health Savings and Flexible Spending Accounts
• Family-forming benefits
• Life and Serious Injury Benefits
• Paid leave of absence programs
• Flexible time off for full-time salaried employees

• *Why Join careerzynith?**

• Be part of a global leader in entertainment services
• Collaborate with a talented team of data engineers, software engineers, and CS business owners
• Drive customer satisfaction and product improvement through data-driven decision-making
• Enjoy a comprehensive compensation structure and benefits package
• Be part of a culture that values diversity, inclusion, and innovation

• *How to Apply**

If you're passionate about using data to drive customer satisfaction and product improvement, we encourage you to apply for this exciting opportunity. Please submit your application through our website, and we'll be in touch to discuss your qualifications further.

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