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Experienced Full Stack Data Engineer – Customer Service & Analytics at arenaflex

Work from home Full-time role Hiring

At arenaflex, we're revolutionizing the entertainment industry with our innovative approach to storytelling and customer experience. With over 278 million paid memberships in 190 countries, we're constantly pushing the boundaries of what's possible in the world of entertainment. As a key member of our Data Science and Engineering (DSE) team, you'll play a vital role in shaping the future of customer service and analytics at arenaflex.

The Role

In this exciting role, you'll collaborate with data engineers, software engineers, and business leaders to build reliable, scalable data pipelines that transform raw data into actionable business metrics. You'll work with custom visualization tools to surface critical customer service insights, enabling our teams to make data-driven decisions that drive business growth and customer satisfaction.

Key Responsibilities:

* Collaborate with data engineers, software engineers, and business leaders to design, develop, and maintain 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 design structures that adapt to changes in source data or business processes.
  • Write clean, supportable code in Python or Scala, with a strong proficiency in both languages.
  • Apply advanced SQL skills to ensure data quality and advocate for best practices.
  • Analyze business problems and develop metrics to drive decision-making, prioritizing autonomously.
  • 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, with the ability to design adaptable structures.
  • Proficiency in Python or Scala, with a passion for writing clean, supportable code.
  • Advanced SQL skills, with a focus on data quality and best practices.
  • Analytical aptitude, with the ability to think through business problems and prioritize autonomously.
  • Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.

Preferred Qualifications:

* Experience working with custom visualization tools to surface critical customer service insights.

  • Familiarity with arenaflex's technology stack and data architecture.
  • Strong understanding of data quality and best practices.
  • Experience working in a fast-paced, dynamic environment with multiple stakeholders.

arenaflex Culture

At arenaflex, we're committed to creating a culture that values diversity, equity, and inclusion. We believe that bringing together different perspectives and backgrounds helps build stronger teams and drives innovation. We're an equal-opportunity employer, and we celebrate diversity in all its forms.

Compensation and Benefits

arenaflex offers a competitive compensation package, including an annual salary, with the option to choose how much of your compensation you want in salary versus stock options. Our compensation range for this role is $170,000 - $720,000. We also offer 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 arenaflex?

At arenaflex, you'll have the opportunity to work on cutting-edge projects, collaborate with talented teams, and drive business growth and customer satisfaction. You'll also have access to comprehensive benefits, flexible work arrangements, and a culture that values diversity, equity, and inclusion.

How to Apply

If you're passionate about data engineering, customer service, and analytics, and you're looking for a challenging and rewarding role, we encourage you to apply. Please submit your resume and a cover letter outlining your experience, qualifications, and interest in the role. Apply Now!

Note:

arenaflex is an equal-opportunity employer, and we celebrate diversity in all its forms. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Apply for this job

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