Experienced Full Stack Data Engineer – Customer Service – arenaflex

As a leading entertainment services company with 278 million paid memberships in over 190 countries, arenaflex is revolutionizing the way people consume entertainment. With a wide variety of genres and languages available, our members can play, pause, and resume watching as much as they want, anytime, anywhere. As we continue to shape the evolution of storytelling around the world, we're looking for a talented Data Engineer to join our Data Science and Analytics team at arenaflex. The Role In this role, 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. The team is small, so the role requires 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: * Collaborate with data engineers, software engineers, and CS business owners to design, develop, and maintain data pipelines that support customer service operations * Transform raw data into core business metrics and insights that inform customer service strategies and product development * Work with custom visualization tools to surface customer service insights and drive business decisions * Develop and maintain data quality standards and ensure data accuracy and integrity * Collaborate with analysts and business leaders to prioritize and develop business metrics and insights * Design and implement data models that are adaptable to changes in source data or business processes * Develop and maintain data pipelines using big data technologies (Hive, Presto, Spark, Flink) on medium to large-scale data sets (10s of millions of records) * Develop and maintain data quality standards and ensure data accuracy and integrity 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 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 (e.g. metrics development) and prioritize autonomously * Strong communication and productive partnership with analysts, engineers, business leaders Preferred Qualifications: * Experience working with custom visualization tools and data science platforms * Experience with data quality standards and data governance * Experience with data modeling and data warehousing * Experience with cloud-based data platforms and big data technologies * Experience with agile development methodologies and DevOps practices Skills and Competencies: * Strong technical skills in data engineering, data science, and software development * Excellent analytical and problem-solving skills * Strong communication and collaboration skills * Ability to work in a fast-paced, dynamic environment * Strong attention to detail and ability to prioritize tasks effectively * Ability to adapt to changing requirements and priorities Career Growth Opportunities and Learning Benefits: * arenaflex is committed to providing opportunities for growth and development, including training and education programs, mentorship, and career advancement opportunities * arenaflex has a strong culture of innovation and experimentation, with opportunities to work on cutting-edge projects and technologies * arenaflex provides a collaborative and supportive work environment, with opportunities to work with talented and experienced professionals Work Environment and Company Culture: * arenaflex is a remote-friendly company, with opportunities to work from home or in our offices * arenaflex has a strong culture of diversity and inclusion, with a commitment to creating a welcoming and inclusive work environment * arenaflex is an equal-opportunity employer, with a commitment to hiring and promoting talented individuals from diverse backgrounds Compensation, Perks, and Benefits: * arenaflex offers a competitive salary range of $170,000 - $720,000, with opportunities for annual salary increases and bonuses * arenaflex provides comprehensive benefits, including health insurance, mental health support, 401(k) retirement plan with employer match, stock option program, disability programs, health savings and flexible spending accounts, family-forming benefits, and life and serious injury benefits * arenaflex offers paid leave of absence programs, including vacation, holidays, and sick paid time off * arenaflex provides flexible time off and opportunities for professional development and growth Conclusion: If you're a talented data engineer with a passion for customer service and a commitment to innovation and excellence, we want to hear from you. arenaflex is a unique and dynamic company that offers opportunities for growth and development, a collaborative and supportive work environment, and a competitive compensation and benefits package. Join our team and help us shape the future of entertainment. How to Apply: To apply for this role, please submit your resume and a cover letter outlining your experience and qualifications. We look forward to hearing from you! ```html

Join arenaflex's Data Science and Analytics Team

arenaflex is a leading entertainment services company with 278 million paid memberships in over 190 countries. We're revolutionizing the way people consume entertainment and shaping the evolution of storytelling around the world.

About the Role

In this role, 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.

Key Responsibilities:

• Collaborate with data engineers, software engineers, and CS business owners to design, develop, and maintain data pipelines that support customer service operations
• Transform raw data into core business metrics and insights that inform customer service strategies and product development
• Work with custom visualization tools to surface customer service insights and drive business decisions
• Develop and maintain data quality standards and ensure data accuracy and integrity
• Collaborate with analysts and business leaders to prioritize and develop business metrics and insights
• Design and implement data models that are adaptable to changes in source data or business processes
• Develop and maintain data pipelines using big data technologies (Hive, Presto, Spark, Flink) on medium to large-scale data sets (10s of millions of records)
• Develop and maintain data quality standards and ensure data accuracy and integrity

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 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 (e.g. metrics development) and prioritize autonomously
• Strong communication and productive partnership with analysts, engineers, business leaders

Preferred Qualifications:

• Experience working with custom visualization tools and data science platforms
• Experience with data quality standards and data governance
• Experience with data modeling and data warehousing
• Experience with cloud-based data platforms and big data technologies
• Experience with agile development methodologies and DevOps practices

Skills and Competencies:

• Strong technical skills in data engineering, data science, and software development
• Excellent analytical and problem-solving skills
• Strong communication and collaboration skills
• Ability to work in a fast-paced, dynamic environment
• Strong attention to detail and ability to prioritize tasks effectively
• Ability to adapt to changing requirements and priorities

Career Growth Opportunities and Learning Benefits:

arenaflex is committed to providing opportunities for growth and development, including training and education programs, mentorship, and career advancement opportunities.

Work Environment and Company Culture:

arenaflex is a remote-friendly company, with opportunities to work from home or in our offices.

Compensation, Perks, and Benefits:

arenaflex offers a competitive salary range of $170,000 - $720,000, with opportunities for annual salary increases and bonuses.

How to Apply:

To apply for this role, please submit your resume and a cover letter outlining your experience and qualifications.

We look forward to hearing from you!

``` Apply for this job