Experienced Full Stack Data Engineer – Customer Service – careerzynith

Unlock your potential with a new role at careerzynith 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 careerzynith**

careerzynith is a leading entertainment services company, with a mission to revolutionize the way people consume entertainment. With over 283 million paid memberships in over 190 countries, careerzynith is shaping the evolution of storytelling around the world. Our team is dedicated to delivering an incredible customer experience, and we're looking for talented individuals like you to join our Data Science & Analytics team.

• *Job Summary**

As a Data Engineer (L5) - Customer Service at careerzynith, 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. You'll be part of a small team, requiring a high degree of autonomy, strong technical judgment, and the ability to span across the data stack, from pipeline development to business metrics and tools.

• *Key Responsibilities**

• Collaborate with data engineers, software engineers, and CS business owners to design, develop, and maintain data pipelines that support customer service initiatives

• Transform raw data into core business metrics using big data technologies (Hive, Presto, Spark, Flink) on medium to large-scale data sets (10s of millions of records)
• Work with custom visualization tools to surface CS insights and inform business decisions
• Design and implement data models that are adaptable to changes in the source data or business processes
• Develop and maintain advanced SQL skills and advocate for data quality
• Analyze business problems and prioritize autonomously to drive data-driven decision-making
• Communicate effectively with analysts, engineers, and business leaders to ensure seamless collaboration and delivery of 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 are adaptable to changes in the 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 (e.g. AWS, GCP, Azure)

• Familiarity with data visualization tools (e.g. Tableau, Power BI, D3.js)
• Experience with machine learning algorithms and techniques
• Strong understanding of data governance and security principles
• Certification in data engineering or a related field
• *Skills and Competencies**

• Strong technical skills in data engineering, including big data technologies (Hive, Presto, Spark, Flink) and data modeling

• 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 cross-functional teams
• Ability to adapt to changing priorities and deadlines, with a focus on delivering high-quality results
• Strong attention to detail, with a focus on data quality and accuracy
• *Career Growth Opportunities and Learning Benefits**

• careerzynith offers a comprehensive learning and development program, with opportunities for professional growth and advancement

• Collaborate with experienced data engineers and software engineers to develop your skills and expertise
• Participate in regular training and development sessions to stay up-to-date with the latest technologies and trends
• Opportunities to work on high-impact projects and contribute to the development of careerzynith's data science and analytics capabilities
• *Work Environment and Company Culture**

• careerzynith is a remote-first company, with a flexible and adaptable work environment

• Collaborate with a talented and diverse team of data engineers, software engineers, and CS business owners
• Participate in regular team-building activities an