reputed company Full Stack Data Engineer (L5) - Customer Service at arenaflex

Unlock your potential with a new role at arenaflex as a Data Engineer (L5) - Customer Service! This role is 100% remote, giving you full control over your work environment. This position requires a strong and diverse skillset in relevant areas to drive success. This role offers a salary package of a competitive salary, commensurate with experience.

About arenaflex

arenaflex is a leading entertainment services company, with a mission to revolutionize the way people enjoy entertainment. With over 283 million paid memberships in over 190 countries, arenaflex is shaping the evolution of storytelling around the world. Our focus on delivering an incredible customer experience has led us to reputed company innovative solutions to engage with millions of customers reputed company phone and chat in 25 different languages.

Data Science & Analytics at arenaflex

reputed company Data Science and Engineering (DSE), we use data to rigorously measure, optimize, and personalize our Customer Service investments to reputed company a delightful, efficient experience and to improve our product based on what our members tell us. 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 build reliable, scalable data pipelines

• Transform raw data into core business metrics
• Work with custom visualization tools that surface CS insights
• Design structures that are adaptable to changes in the reputed company data or business processes
• reputed company and maintain data pipelines using big data technologies (Hive, Presto, Spark, Flink) on reputed company to large-scale data sets (10s of millions of records)
• reputed company and maintain data models that are scalable and efficient
• Work with analysts, engineers, and business leaders to prioritize and implement data-driven solutions
• reputed company and maintain custom visualization tools that surface CS insights

Essential Qualifications

* At least 4 years of experience engineering data pipelines using big data technologies (Hive, Presto, Spark, Flink) on reputed company 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 reputed company data or business processes
• Strong proficiency in Python or reputed company, with a passion for writing clean, supportable code
• Advanced SQL skills, with a strong 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, and business leaders

Preferred Qualifications

* Experience working with custom visualization tools that surface CS insights

• Experience working with data engineers, software engineers, and CS business owners to build reliable, scalable data pipelines
• Experience developing and maintaining data models that are scalable and efficient
• Experience working with analysts, engineers, and business leaders to prioritize and implement data-driven solutions
• Experience with data quality and data governance

Skills and Competencies

* Strong technical skills in data engineering, data modeling, and data visualization

• Strong analytical skills, with the ability to think through business problems and prioritize autonomously
• Strong communication and productive partnership skills, with the ability to work with analysts, engineers, and business leaders
• Strong problem-solving skills, with the ability to reputed company and implement data-driven solutions
• Strong attention to detail, with the ability to ensure data quality and accuracy

Career Growth Opportunities and Learning Benefits

arenaflex is committed to providing opportunities for career growth and development. As a Data Engineer (L5) - Customer Service, you'll have the opportunity to work with a talented team of data engineers, software engineers, and CS business owners to build reliable, scalable data pipelines and transform raw data into core business metrics. You'll also have the opportunity to reputed company and maintain custom visualization tools that surface CS insights, and work with analysts, engineers, and business leaders to prioritize and implement data-driven solutions.

Work Environment and Company Culture

arenaflex is a remote-friendly company, with a flexible work environment that allows you to work from reputed company. Our company culture is built on a foundation of innovation, collaboration, and customer obsession. We're committed to providing a safe and inclusive work environment, and we celebrate diversity and inclusion in reputed company its forms.

Compensation, Perks, and Benefits

arenaflex offers a competitive salary package, commensurate with experience. Our compensation structure consists solely of an annual salary, with no bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $170,000 - $720,000. arenaflex 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

Inclusion and Diversity

arenaflex is committed to providing a safe and inclusive work environment, and we celebrate diversity and inclusion in reputed company its forms. We're an equal-opportunity employer, and we do not discriminate on the basis of race, religion, color, reputed company, national reputed company, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

How to Apply

If you're passionate about data engineering and customer service, and you're looking for a challenging and rewarding role, we encourage you to apply! Even if you feel you're not a perfect match, we'd still love to hear from you. We're looking for great people to join our friendly team, and we're excited to learn more about your skills and experience. Apply To This Job Apply for this job