Experienced Full Stack Data Engineer – Customer Service and Data Insights
At careerzynith, we're revolutionizing the way people experience entertainment and storytelling. With over 270 million members in 190 countries, we're shaping the future of the industry and creating a world where everyone has access to the best content, anywhere, anytime. As a Data Engineer in our Customer Service team, you'll play a critical role in helping us deliver an incredible customer experience and drive business growth through data-driven insights.
**About careerzynith**
careerzynith is a global leader in entertainment services, and we're passionate about creating a world where everyone can enjoy their favorite shows, movies, and games. We're committed to innovation, diversity, and inclusion, and we're always looking for talented individuals who share our vision. Our culture is built on a foundation of trust, respect, and open communication, and we're proud to be an equal-opportunity employer.
**The Role**
As a Data Engineer in our Customer Service team, you'll work closely with data engineers, software engineers, and business leaders to build reliable, scalable data pipelines that transform raw data into actionable insights. You'll design and develop data models that adapt to changes in source data or business processes, and you'll work with custom visualization tools to surface critical customer service insights. Your expertise will help us optimize our customer service investments, improve our product, and deliver a delightful, efficient experience for our members.
**Key Responsibilities**
* Collaborate with data engineers, software engineers, and business leaders to design and develop data pipelines that transform raw data into core business metrics
* Design and develop data models that adapt to changes in source data or business processes
* Work with custom visualization tools to surface critical customer service insights
* Develop and maintain data quality standards and advocate for data quality across the organization
* Analyze business problems and prioritize autonomously to drive data-driven insights and business growth
* 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 structures that adapt to changes in source data or business processes
* Strong proficiency in Python or Scala, with a passion for writing clean, supportable code
* Advanced SQL skills, with a focus on data quality and advocacy
* 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 analysts, engineers, and business leaders
**Preferred Qualifications**
* Experience working with cloud-based data platforms, such as Amazon Web Services (AWS) or Google Cloud Platform (GCP)
* Familiarity with data visualization tools, such as Tableau or Power BI
* Experience with agile development methodologies and version control systems, such as Git
* Strong understanding of data governance and data quality principles
* Experience working in a fast-paced, dynamic environment with multiple stakeholders and priorities
**Skills and Competencies**
* Strong technical skills in data engineering, data modeling, and data quality
* Excellent analytical and problem-solving skills, with the ability to think critically and prioritize autonomously
* Strong communication and collaboration skills, with the ability to work effectively with diverse stakeholders
* Ability to adapt to changing priorities and deadlines, with a focus on delivering high-quality results
* Strong passion for innovation and continuous learning, with a desire to stay up-to-date with the latest trends and technologies in data engineering
**Career Growth Opportunities and Learning Benefits**
At careerzynith, we're committed to helping our employees grow and develop their careers. We offer a range of learning and development opportunities, including:
* Access to online training and development platforms, such as LinkedIn Learning and Pluralsight
* Opportunities to attend industry conferences and events, such as the annual Data Science Conference
* Mentorship programs, with experienced data engineers and leaders who can provide guidance and support
* Opportunities to work on high-impact projects and contribute to the development of new products and services
* A culture of innovation and experimentation, with a focus on trying new things and learning from failure
**Work Environment and Company Culture**
careerzynith is a dynamic and fast-paced environment, with a focus on innovation, collaboration, and continuous learning. We're committed to creating a workplace that is inclusive, diverse, and respectful, and we're proud to be an equal-opportunity employer. Our culture is built on a foundation of trust, respect, and open communication, and we're always looking for talented individuals who share our vision.
**Compensation, Perks, and Benefits**
careerzynith offers a competitive salary and a range of benefits, including:
* Comprehensive health insurance, including medical, dental, and vision coverage
* 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 time off, including vacation, holidays, and sick leave
* Flexible work arrangements, including remote work options
**How to Apply**
If you're passionate about data engineering and customer service, and you're looking for a challenging and rewarding role in a dynamic and innovative environment, we'd love to hear from you. Please submit your application, including your resume and a cover letter, to [insert contact information]. We can't wait to hear from you and learn more about your qualifications and experience.
Apply for this job
**About careerzynith**
careerzynith is a global leader in entertainment services, and we're passionate about creating a world where everyone can enjoy their favorite shows, movies, and games. We're committed to innovation, diversity, and inclusion, and we're always looking for talented individuals who share our vision. Our culture is built on a foundation of trust, respect, and open communication, and we're proud to be an equal-opportunity employer.
**The Role**
As a Data Engineer in our Customer Service team, you'll work closely with data engineers, software engineers, and business leaders to build reliable, scalable data pipelines that transform raw data into actionable insights. You'll design and develop data models that adapt to changes in source data or business processes, and you'll work with custom visualization tools to surface critical customer service insights. Your expertise will help us optimize our customer service investments, improve our product, and deliver a delightful, efficient experience for our members.
**Key Responsibilities**
* Collaborate with data engineers, software engineers, and business leaders to design and develop data pipelines that transform raw data into core business metrics
* Design and develop data models that adapt to changes in source data or business processes
* Work with custom visualization tools to surface critical customer service insights
* Develop and maintain data quality standards and advocate for data quality across the organization
* Analyze business problems and prioritize autonomously to drive data-driven insights and business growth
* 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 structures that adapt to changes in source data or business processes
* Strong proficiency in Python or Scala, with a passion for writing clean, supportable code
* Advanced SQL skills, with a focus on data quality and advocacy
* 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 analysts, engineers, and business leaders
**Preferred Qualifications**
* Experience working with cloud-based data platforms, such as Amazon Web Services (AWS) or Google Cloud Platform (GCP)
* Familiarity with data visualization tools, such as Tableau or Power BI
* Experience with agile development methodologies and version control systems, such as Git
* Strong understanding of data governance and data quality principles
* Experience working in a fast-paced, dynamic environment with multiple stakeholders and priorities
**Skills and Competencies**
* Strong technical skills in data engineering, data modeling, and data quality
* Excellent analytical and problem-solving skills, with the ability to think critically and prioritize autonomously
* Strong communication and collaboration skills, with the ability to work effectively with diverse stakeholders
* Ability to adapt to changing priorities and deadlines, with a focus on delivering high-quality results
* Strong passion for innovation and continuous learning, with a desire to stay up-to-date with the latest trends and technologies in data engineering
**Career Growth Opportunities and Learning Benefits**
At careerzynith, we're committed to helping our employees grow and develop their careers. We offer a range of learning and development opportunities, including:
* Access to online training and development platforms, such as LinkedIn Learning and Pluralsight
* Opportunities to attend industry conferences and events, such as the annual Data Science Conference
* Mentorship programs, with experienced data engineers and leaders who can provide guidance and support
* Opportunities to work on high-impact projects and contribute to the development of new products and services
* A culture of innovation and experimentation, with a focus on trying new things and learning from failure
**Work Environment and Company Culture**
careerzynith is a dynamic and fast-paced environment, with a focus on innovation, collaboration, and continuous learning. We're committed to creating a workplace that is inclusive, diverse, and respectful, and we're proud to be an equal-opportunity employer. Our culture is built on a foundation of trust, respect, and open communication, and we're always looking for talented individuals who share our vision.
**Compensation, Perks, and Benefits**
careerzynith offers a competitive salary and a range of benefits, including:
* Comprehensive health insurance, including medical, dental, and vision coverage
* 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 time off, including vacation, holidays, and sick leave
* Flexible work arrangements, including remote work options
**How to Apply**
If you're passionate about data engineering and customer service, and you're looking for a challenging and rewarding role in a dynamic and innovative environment, we'd love to hear from you. Please submit your application, including your resume and a cover letter, to [insert contact information]. We can't wait to hear from you and learn more about your qualifications and experience.
Apply for this job