Experienced Full Stack Data Engineer – Customer Service – careerzynith

Join careerzynith's Data Science & Analytics Team and Revolutionize Customer Experience

At careerzynith, we're on a mission to deliver an exceptional customer experience that sets the standard for the industry. As a leading entertainment services company with 278 million paid memberships in over 190 countries, we're constantly pushing the boundaries of innovation and storytelling. Our Data Science and Engineering (DSE) team plays a critical role in harnessing the power of data to drive business decisions and improve our product offerings.

About careerzynith

careerzynith is a global entertainment leader that's changing the way people consume content. With a vast library of TV series, films, and games, we're committed to delivering an unparalleled viewing experience that's accessible anywhere, anytime. Our customer service team is at the forefront of this mission, engaging with millions of members via phone and chat in 25 different languages.

The Role

As a Data Engineer (L5) – Customer Service at careerzynith, you'll be part of a dynamic team that's passionate about using data to drive business outcomes. 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. Your expertise will help us measure, optimize, and personalize our customer service investments to deliver a delightful, efficient experience.

Key Responsibilities:

* Design and develop reliable, scalable data pipelines using big data technologies (Hive, Presto, Spark, Flink) on medium to large-scale data sets (10s of millions of records)

• Develop strong data modeling skills to create adaptable structures that can handle changes in source data or business processes
• Work with Python or Scala to write clean, supportable code and advocate for data quality
• Collaborate with analysts, engineers, and business leaders to prioritize business problems and develop metrics
• Communicate effectively with stakeholders to drive business outcomes and improve our product offerings

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 with the ability to design adaptable structures
• Advanced SQL skills and a passion for data quality
• Analytical aptitude to think through business problems and prioritize autonomously
• Strong communication and partnership skills with analysts, engineers, and business leaders

Preferred Qualifications:

* Experience working with custom visualization tools and surfacing CS insights

• Familiarity with careerzynith's products and services
• Strong understanding of data engineering principles and best practices
• Experience working in a remote or distributed team environment

careerzynith Culture

At careerzynith, we're committed to creating a culture that's inclusive, diverse, and supportive. We believe that our differences are what make us stronger, and we're dedicated to fostering a workplace that's free from bias and prejudice. Our compensation structure is designed to be fair and transparent, with a range of benefits that support your physical and mental well-being.

Compensation and Benefits:

* Competitive salary range: $170,000 - $720,000

• Comprehensive benefits package, 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 and flexible time off

Why Join careerzynith?

* Be part of a dynamic team that's shaping the future of entertainment

• Collaborate with talented professionals who are passionate about using data to drive business outcomes
• Enjoy a comprehensive benefits package that supports your physical and mental well-being
• Work in a remote or distributed team environment that offers flexibility and autonomy
• Contribute to a culture that's inclusive, diverse, and supportive

How to Apply:

If you're a motivated and experienced data engineer who's passionate about using data to drive business outcomes, we'd love to hear from you. Even if you feel you're not a perfect match, we encourage you to apply and join our friendly team. Apply for this job