Experienced Data Engineer (L5) - Customer Service and Data Science Expert for a Leading Entertainment Company

Introduction to the Company and Role

Imagine being part of a team that revolutionizes the entertainment industry, shaping the evolution of storytelling worldwide. With over 283 million paid memberships in more than 190 countries, our company is a leading entertainment service, offering TV series, films, and games across a wide variety of genres and languages. We are committed to delivering an incredible customer experience, and when our members have a problem, we strive to quickly and thoroughly resolve their issues, getting them back to streaming as soon as possible.

Within our Data Science and Engineering (DSE) team, we utilize data to rigorously measure, optimize, and personalize our Customer Service investments. This enables a delightful, efficient experience for our members and informs product improvements based on their feedback. We are now seeking an experienced Data Engineer (L5) to join our team, focusing on Customer Service and data science. This role is an exceptional opportunity for a skilled data engineer to collaborate with cross-functional teams, build reliable data pipelines, and transform raw data into core business metrics.

Key Responsibilities

As a Data Engineer (L5) in our Customer Service team, your primary responsibilities will include:

• Collaborating with data engineers, software engineers, and business owners to design, develop, and maintain scalable data pipelines using big data technologies such as Hive, Presto, Spark, and Flink.
• Transforming raw data into actionable business metrics and insights, working closely with custom visualization tools to surface Customer Service insights.
• Designing and implementing data models that are adaptable to changes in source data or business processes, ensuring strong data quality and integrity.
• Developing and maintaining large-scale data sets (10s of millions of records), leveraging your expertise in data engineering and data science.
• Working autonomously, with a high degree of technical judgment, to prioritize tasks and manage your workload effectively.
• Communicating complex technical concepts and insights to non-technical stakeholders, including analysts, engineers, and business leaders, to drive data-informed decision-making.

Essential Qualifications

To be successful in this role, you will need:

• At least 4 years of experience in engineering data pipelines using big data technologies, with a strong focus on scalability, reliability, and data quality.
• Strong data modeling skills, with the ability to design structures that adapt to changes in source data or business processes.
• Proficiency in Python or Scala, with a passion for writing clean, supportable code and a commitment to software engineering best practices.
• Advanced SQL skills, with a strong understanding of data quality principles and a keen eye for detail.
• Analytical aptitude, with the ability to think through complex business problems, develop metrics, and prioritize tasks autonomously.
• Excellent communication and collaboration skills, with experience working with cross-functional teams, including analysts, engineers, and business leaders.

Preferred Qualifications

While not essential, the following qualifications are highly desirable:

• Experience working with cloud-based data platforms, such as AWS or GCP, and a strong understanding of cloud-based data engineering principles.
• Familiarity with data visualization tools, such as Tableau, Power BI, or D3.js, and experience working with custom visualization tools to surface insights.
• Knowledge of machine learning principles and experience working with machine learning algorithms, with a focus on applying these principles to real-world business problems.
• Experience working in an agile development environment, with a strong understanding of agile methodologies and a commitment to continuous improvement.

Skills and Competencies

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

• Strong technical skills, with expertise in data engineering, data science, and software engineering.
• Business acumen, with a strong understanding of the entertainment industry and the ability to apply data insights to drive business decisions.
• Collaboration and communication skills, with experience working with cross-functional teams and communicating complex technical concepts to non-technical stakeholders.
• Problem-solving skills, with the ability to think critically and develop creative solutions to complex business problems.
• Adaptability and flexibility, with a willingness to learn and adapt to new technologies, tools, and methodologies.

Career Growth Opportunities and Learning Benefits

At our company, we are committed to the growth and development of our employees. As a Data Engineer (L5) in our Customer Service team, you will have access to a range of career growth opportunities and learning benefits, including:

• Professional development opportunities, with a focus on developing your technical, business, and soft skills.
• Mentorship and coaching, with experienced engineers and leaders who can provide guidance and support.
• Training and education programs, with access to online courses, conferences, and workshops to help you stay up-to-date with the latest technologies and trends.
• Opportunities to work on high-impact projects, with the potential to drive significant business value and impact.

Work Environment and Company Culture

Our company culture is built on a foundation of innovation, collaboration, and mutual respect. We are committed to creating a work environment that is inclusive, diverse, and supportive, with a focus on employee well-being and satisfaction. As a Data Engineer (L5) in our Customer Service team, you will be part of a dynamic and fast-paced environment, with a team that is passionate about delivering exceptional customer experiences.

We approach diversity and inclusion seriously and thoughtfully, recognizing that bringing together different perspectives and backgrounds helps build stronger teams. We are an equal-opportunity employer and celebrate diversity, with a commitment to creating a workplace that is welcoming and inclusive for all employees.

Compensation, Perks, and Benefits

We offer a competitive compensation package, with a range of perks and benefits to support your well-being and career growth. These include:

• A competitive salary, with a range of $170,000 - $720,000 per year.
• Comprehensive benefits, including health plans, mental health support, a 401(k) retirement plan with employer match, and stock option programs.
• Flexible time off, with a focus on work-life balance and employee well-being.
• Opportunities for professional development and growth, with a commitment to supporting your career aspirations.

Conclusion

If you are a motivated and experienced data engineer, with a passion for delivering exceptional customer experiences and driving business value through data insights, we encourage you to apply for this exciting opportunity. As a Data Engineer (L5) in our Customer Service team, you will be part of a dynamic and fast-paced environment, with a team that is committed to innovation, collaboration, and mutual respect. Don't miss this chance to join our team and contribute to the success of our company. Apply now and take the first step towards an exciting and rewarding career with our organization.

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