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

Introduction to arenaflex

arenaflex is a pioneering entertainment service, revolutionizing the way people enjoy TV series, films, and games across the globe. With over 283 million paid memberships in more than 190 countries, our platform offers an unparalleled streaming experience, allowing members to play, pause, and resume watching their favorite content anytime, anywhere. As a leader in the entertainment industry, we are committed to delivering an exceptional customer experience, and our Customer Service team plays a vital role in achieving this goal.

Job Overview

We are seeking an experienced Data Engineer to join our Data Science & Analytics team, focusing on Customer Service. As a Data Engineer, you will collaborate with cross-functional teams, including data engineers, software engineers, and business owners, to design, develop, and maintain scalable data pipelines, transform raw data into actionable insights, and create custom visualization tools to surface Customer Service metrics. This role requires a high degree of autonomy, strong technical judgment, and the ability to work across the data stack, from pipeline development to business metrics and tools.

Key Responsibilities

• Design, develop, and maintain reliable, scalable data pipelines using big data technologies such as Hive, Presto, Spark, and Flink on medium to large-scale data sets (10s of millions of records)
• Transform raw data into core business metrics, enabling data-driven decision-making and process optimization
• Collaborate with data engineers, software engineers, and business owners to identify and prioritize project requirements
• Develop and maintain custom visualization tools to surface Customer Service insights, facilitating data-driven decision-making
• Ensure data quality, integrity, and security, adhering to arenaflex's data governance standards
• Communicate complex technical concepts and insights to non-technical stakeholders, including business leaders and analysts

Essential Qualifications

• At least 4 years of experience engineering data pipelines using big data technologies on medium to large-scale data sets
• Strong data modeling skills, with the ability to design adaptable structures that accommodate changes in source data or business processes
• Proficiency in Python or Scala, with a passion for writing clean, supportable code
• Advanced SQL skills, with a strong focus on data quality and advocacy for best practices
• Analytical aptitude, with the ability to think through complex business problems and prioritize autonomously
• Strong communication and collaboration skills, with experience working with cross-functional teams, including analysts, engineers, and business leaders

Preferred Qualifications

• Experience working with cloud-based data platforms, such as AWS or GCP
• Knowledge of data governance, security, and compliance principles
• Familiarity with agile development methodologies and version control systems, such as Git
• Experience with data visualization tools, such as Tableau or Power BI
• Strong understanding of customer service operations and metrics

Skills and Competencies

To succeed in this role, you will need to possess a combination of technical, business, and soft skills, including:

• Strong technical skills, with expertise in big data technologies, data modeling, and data pipeline development
• Business acumen, with the ability to understand customer service operations and metrics
• Analytical and problem-solving skills, with the ability to think critically and creatively
• Communication and collaboration skills, with experience working with cross-functional teams
• Adaptability and flexibility, with the ability to work in a fast-paced, dynamic environment

Career Growth and Learning Opportunities

At arenaflex, we are committed to supporting the growth and development of our employees. As a Data Engineer, you will have access to a range of learning opportunities, including:

• Professional development training and workshops
• Mentorship programs, pairing you with experienced engineers and leaders
• Opportunities to work on high-impact projects, driving business outcomes and process improvements
• Collaboration with cross-functional teams, exposing you to new technologies, tools, and methodologies

Work Environment and Company Culture

arenaflex is a unique and dynamic work environment, characterized by:

• A culture of innovation, experimentation, and continuous learning
• A collaborative and inclusive work environment, valuing diversity, equity, and inclusion
• A focus on customer obsession, driving business outcomes and process improvements
• A commitment to employee well-being, offering comprehensive benefits and perks

Compensation, Perks, and Benefits

arenaflex offers a competitive compensation package, including:

• An annual salary range of $170,000 - $720,000, depending on experience and qualifications
• A comprehensive benefits package, including health plans, mental health support, and retirement savings
• A stock option program, allowing you to share in the company's success
• Flexible time off, including paid vacation, holidays, and sick leave
• Opportunities for professional development and growth, including training, mentorship, and education assistance

Conclusion

If you are a motivated and experienced Data Engineer, passionate about working with big data technologies and driving business outcomes, we encourage you to apply for this exciting opportunity. As a member of the arenaflex team, you will have the chance to work on high-impact projects, collaborate with talented engineers and leaders, and contribute to the company's mission to deliver an exceptional customer experience. Apply now to join our dynamic and innovative team!