Experienced Data Engineer for Customer Service Team - Big Data Pipeline Development and Data Analytics Expert

Introduction to arenaflex

arenaflex is a pioneering entertainment service, renowned for its commitment to delivering unparalleled customer experiences. With a global presence spanning over 190 countries and a membership base of 278 million, arenaflex has revolutionized the way people enjoy TV series, films, and games. Our mission is to provide seamless, personalized entertainment experiences that cater to diverse tastes and preferences. As a leader in the entertainment industry, we are dedicated to fostering a culture of innovation, inclusivity, and creativity.

About the Role

We are seeking an experienced Data Engineer to join our Data Science & Analytics team, focusing on Customer Service. As a Data Engineer at arenaflex, you will play a pivotal role in developing and maintaining reliable, scalable data pipelines that transform raw data into actionable insights. Your expertise will enable us to optimize our Customer Service investments, personalize experiences, and improve our products based on member feedback. This is an exceptional opportunity to collaborate with cross-functional teams, including data engineers, software engineers, and business owners, to drive business growth and excellence.

Key Responsibilities

• Design, develop, and maintain large-scale data pipelines using big data technologies such as Hive, Presto, Spark, and Flink, with a focus on medium to large-scale data sets (10s of millions of records)
• Apply strong data modeling skills to create adaptable structures that accommodate changes in source data or business processes
• Utilize Python or Scala to write clean, supportable code, with a passion for delivering high-quality solutions
• Demonstrate advanced SQL skills and advocate for data quality, ensuring the integrity and accuracy of our data assets
• Collaborate with analysts, engineers, and business leaders to develop metrics, prioritize projects, and drive business outcomes
• Work autonomously, exercising strong technical judgment and analytical aptitude to resolve complex problems and optimize our Customer Service operations

Essential Qualifications

• At least 4 years of experience in engineering data pipelines using big data technologies, with a focus on medium to large-scale data sets
• Strong data modeling skills, with the ability to design adaptable structures that accommodate changing business needs
• Proficiency in Python or Scala, with a passion for writing clean, supportable code
• Advanced SQL skills, with a strong emphasis on data quality and integrity
• Analytical aptitude, with the ability to think critically and prioritize projects autonomously
• Excellent communication and collaboration skills, with experience working with cross-functional teams

Preferred Qualifications

• Experience working with custom visualization tools and surfacing insights to drive business outcomes
• Familiarity with cloud-based data platforms and technologies, such as AWS or GCP
• Knowledge of data governance and data security best practices, with a focus on protecting sensitive data assets
• Experience working in an agile development environment, with a focus on continuous delivery and improvement

Career Growth and Learning Opportunities

At arenaflex, we are committed to fostering a culture of continuous learning and growth. As a Data Engineer, you will have access to a wide range of training and development opportunities, including:

• Technical training and workshops, focusing on the latest big data technologies and trends
• Mentorship programs, pairing you with experienced engineers and leaders who can provide guidance and support
• Opportunities to attend industry conferences and events, staying up-to-date with the latest developments and innovations
• A culture of continuous feedback and improvement, with regular check-ins and performance reviews to help you grow and develop in your role

Work Environment and Company Culture

arenaflex is a unique and dynamic work environment, characterized by a culture of innovation, inclusivity, and creativity. We are committed to fostering a workplace that is diverse, equitable, and inclusive, where everyone feels valued and empowered to contribute. Our culture is built on a foundation of:

• Respect and empathy, with a focus on understanding and appreciating different perspectives and backgrounds
• Open communication and collaboration, with a emphasis on transparency and trust
• Continuous learning and growth, with a focus on developing new skills and expertise
• Flexibility and adaptability, with a willingness to pivot and adjust to changing business needs

Compensation and Benefits

arenaflex offers a competitive compensation package, with a focus on providing a comprehensive range of benefits that support your overall well-being. Our compensation structure consists of an annual salary, with the option to choose between salary and stock options. We also offer a wide range of benefits, including:

• Comprehensive health plans, with a focus on supporting your physical and mental health
• 401(k) retirement plan with employer match, helping you plan for your future
• Stock option program, providing you with the opportunity to share in the company's success
• Disability programs, providing support and protection in the event of illness or injury
• Family-forming benefits, supporting you and your loved ones through life's milestones
• Paid leave of absence programs, providing you with the time and support you need to recharge and pursue your passions

Conclusion

If you are a motivated and experienced Data Engineer, passionate about delivering exceptional customer experiences and driving business growth through data-driven insights, we encourage you to apply for this exciting opportunity. At arenaflex, we are committed to fostering a culture of innovation, inclusivity, and creativity, and we look forward to welcoming you to our team. Apply now to join our dynamic and talented team of engineers, analysts, and business leaders, and help us shape the future of entertainment.