Experienced Remote Data Engineer (L5) - Customer Service and Data Science Expert for a Leading Entertainment Company
Introduction to the Company and Role
Are you ready to join a revolutionary entertainment company that is shaping the evolution of storytelling around the world? As a leader in the industry, we are committed to delivering an incredible customer experience, and we are seeking an experienced Data Engineer (L5) - Customer Service to join our team. This is a unique opportunity to work remotely and be part of a dynamic team that is passionate about using data to drive business decisions and improve customer satisfaction.
At our company, we believe in giving our members the freedom to enjoy their favorite TV shows, films, and games whenever and wherever they want. With over 283 million paid memberships in over 190 countries, we are dedicated to providing a seamless and enjoyable experience for our members. Our Customer Service team plays a critical role in achieving this goal, and we are looking for a talented Data Engineer to help us drive success in this area.
About the Role
In this role, you will have the opportunity to work with a talented team of data engineers, software engineers, and business owners to build reliable, scalable data pipelines, transform raw data into core business metrics, and develop custom visualization tools that surface Customer Service insights. You will be responsible for collaborating with cross-functional teams to identify business problems, develop metrics, and prioritize projects autonomously. Your strong technical judgment, autonomy, and ability to span across the data stack will be essential in driving success in this role.
As a Data Engineer (L5) - Customer Service, you will be working on medium to large-scale data sets (10s of millions of records) and will be responsible for designing and implementing data pipelines using big data technologies such as Hive, Presto, Spark, and Flink. You will also be responsible for developing and maintaining data models, writing clean and supportable code, and advocating for data quality.
Key Responsibilities
• Collaborate with data engineers, software engineers, and business owners to build reliable, scalable data pipelines and transform raw data into core business metrics
• Design and implement data models that are adaptable to changes in source data or business processes
• Develop and maintain custom visualization tools that surface Customer Service insights
• Work with cross-functional teams to identify business problems, develop metrics, and prioritize projects autonomously
• Write clean, supportable code and advocate for data quality
• Collaborate with analysts, engineers, and business leaders to drive business decisions and improve customer satisfaction
Essential Qualifications
To be successful in this role, you will need to have:
• 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 and the ability to design structures that are adaptable to changes in source data or business processes
• Strong proficiency in Python or Scala and a passion for writing clean, supportable code
• Advanced SQL skills and a strong advocacy for data quality
• Analytical aptitude and the ability to think through business problems and prioritize autonomously
• Strong communication and collaboration skills and the ability to work productively with analysts, engineers, and business leaders
Preferred Qualifications
While not required, the following qualifications are preferred:
• Experience working with cloud-based data platforms such as AWS or GCP
• Experience with data visualization tools such as Tableau or Power BI
• Experience working in a customer-facing environment and understanding of customer service principles
• Strong understanding of data governance and data security principles
• Experience working in an agile development environment and familiarity with agile methodologies
Skills and Competencies
To be successful in this role, you will need to possess the following skills and competencies:
• Strong technical skills and experience with big data technologies such as Hive, Presto, Spark, and Flink
• Strong data modeling skills and the ability to design structures that are adaptable to changes in source data or business processes
• Strong analytical and problem-solving skills and the ability to think through business problems and prioritize autonomously
• Strong communication and collaboration skills and the ability to work productively with analysts, engineers, and business leaders
• Strong advocacy for data quality and a passion for writing clean, supportable code
Career Growth Opportunities and L
Are you ready to join a revolutionary entertainment company that is shaping the evolution of storytelling around the world? As a leader in the industry, we are committed to delivering an incredible customer experience, and we are seeking an experienced Data Engineer (L5) - Customer Service to join our team. This is a unique opportunity to work remotely and be part of a dynamic team that is passionate about using data to drive business decisions and improve customer satisfaction.
At our company, we believe in giving our members the freedom to enjoy their favorite TV shows, films, and games whenever and wherever they want. With over 283 million paid memberships in over 190 countries, we are dedicated to providing a seamless and enjoyable experience for our members. Our Customer Service team plays a critical role in achieving this goal, and we are looking for a talented Data Engineer to help us drive success in this area.
About the Role
In this role, you will have the opportunity to work with a talented team of data engineers, software engineers, and business owners to build reliable, scalable data pipelines, transform raw data into core business metrics, and develop custom visualization tools that surface Customer Service insights. You will be responsible for collaborating with cross-functional teams to identify business problems, develop metrics, and prioritize projects autonomously. Your strong technical judgment, autonomy, and ability to span across the data stack will be essential in driving success in this role.
As a Data Engineer (L5) - Customer Service, you will be working on medium to large-scale data sets (10s of millions of records) and will be responsible for designing and implementing data pipelines using big data technologies such as Hive, Presto, Spark, and Flink. You will also be responsible for developing and maintaining data models, writing clean and supportable code, and advocating for data quality.
Key Responsibilities
• Collaborate with data engineers, software engineers, and business owners to build reliable, scalable data pipelines and transform raw data into core business metrics
• Design and implement data models that are adaptable to changes in source data or business processes
• Develop and maintain custom visualization tools that surface Customer Service insights
• Work with cross-functional teams to identify business problems, develop metrics, and prioritize projects autonomously
• Write clean, supportable code and advocate for data quality
• Collaborate with analysts, engineers, and business leaders to drive business decisions and improve customer satisfaction
Essential Qualifications
To be successful in this role, you will need to have:
• 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 and the ability to design structures that are adaptable to changes in source data or business processes
• Strong proficiency in Python or Scala and a passion for writing clean, supportable code
• Advanced SQL skills and a strong advocacy for data quality
• Analytical aptitude and the ability to think through business problems and prioritize autonomously
• Strong communication and collaboration skills and the ability to work productively with analysts, engineers, and business leaders
Preferred Qualifications
While not required, the following qualifications are preferred:
• Experience working with cloud-based data platforms such as AWS or GCP
• Experience with data visualization tools such as Tableau or Power BI
• Experience working in a customer-facing environment and understanding of customer service principles
• Strong understanding of data governance and data security principles
• Experience working in an agile development environment and familiarity with agile methodologies
Skills and Competencies
To be successful in this role, you will need to possess the following skills and competencies:
• Strong technical skills and experience with big data technologies such as Hive, Presto, Spark, and Flink
• Strong data modeling skills and the ability to design structures that are adaptable to changes in source data or business processes
• Strong analytical and problem-solving skills and the ability to think through business problems and prioritize autonomously
• Strong communication and collaboration skills and the ability to work productively with analysts, engineers, and business leaders
• Strong advocacy for data quality and a passion for writing clean, supportable code
Career Growth Opportunities and L