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About careerzynith – Pioneering Entertainment & Storytelling at Scale
careerzynith is a global leader in entertainment, delivering a diverse library of TV series, films, games, and original content to hundreds of millions of members across more than 190 countries. Our platform empowers members to watch, pause, and resume content whenever and wherever they choose, in any language they prefer. With a relentless focus on innovation, we continuously reshape how stories are told, discovered, and enjoyed worldwide. As part of careerzynith’s mission to create unforgettable viewing experiences, the Customer Service organization plays a critical role in listening to members, resolving issues quickly, and turning feedback into actionable product improvements.
Why This Role Matters
In the fast‑moving world of digital entertainment, the ability to understand and act on member feedback is a competitive advantage. The Data Engineer – Customer Service position sits at the intersection of data, technology, and business insight. You will partner with data engineers, software engineers, and business owners to design, build, and maintain robust data pipelines that transform raw interaction logs into reliable, business‑critical metrics. Your work will directly influence how careerzynith measures the effectiveness of its support channels, optimizes resource allocation, and personalizes the member experience.
Key Responsibilities
- Design, develop, and maintain high‑performance data pipelines using big‑data technologies such as Hive, Presto, Spark, and Flink to ingest and process tens of millions of records daily.
- Collaborate with cross‑functional teams—including data scientists, analysts, software engineers, and Customer Service product owners—to translate business requirements into scalable data solutions.
- Implement robust data modeling practices that accommodate evolving source schemas and changing business processes, ensuring long‑term adaptability.
- Write clean, maintainable, and well‑documented code in Python or Scala, adhering to careerzynith’s engineering standards and best practices.
- Develop and enforce data quality frameworks, including automated testing, validation, and monitoring, to guarantee the integrity of downstream metrics.
- Create and maintain custom visualization tools and dashboards that surface actionable insights for Customer Service leadership and frontline agents.
- Lead the end‑to‑end lifecycle of data products—from ingestion and transformation to exposure via APIs or analytical platforms—while ensuring performance, reliability, and security.
- Mentor junior engineers, share knowledge across the team, and champion a culture of continuous improvement and technical excellence.
- Proactively identify opportunities to optimize existing pipelines, reduce latency, and lower operational costs through innovative engineering solutions.
Essential Qualifications
- Minimum of 4 years of hands‑on experience building and operating data pipelines at scale using big‑data ecosystems (Hive, Presto, Spark, Flink, or comparable technologies).
- Demonstrated expertise in data modeling, with a track record of designing flexible schemas that support evolving business needs.
- Strong proficiency in Python or Scala, with a passion for writing clean, testable, and production‑ready code.
- Advanced SQL skills, including complex query optimization, window functions, and data‑quality checks.
- Proven ability to think analytically about business problems, develop meaningful metrics, and prioritize work autonomously.
- Excellent communication skills, with experience partnering effectively with analysts, engineers, and senior business stakeholders.
- Experience working in a remote, distributed team environment and a demonstrated ability to thrive with high autonomy.
Preferred Qualifications & Nice‑to‑Have Skills
- Experience with cloud platforms (AWS, GCP, or Azure) and modern data warehousing solutions such as Snowflake or Redshift.
- Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines for data engineering workloads.
- Background in customer‑service analytics, churn prediction, or real‑time monitoring of support interactions.
- Knowledge of streaming data architectures and tools (Kafka, Kinesis, Pulsar) for near‑real‑time processing.
- Exposure to machine‑learning pipelines and the ability to collaborate with data scientists on feature engineering.
- Contributions to open‑source projects or participation in data‑engineering communities.
Core Skills & Competencies
- Technical Acumen: Deep understanding of distributed computing, data partitioning, and performance tuning.
- Problem Solving: Ability to break down complex business challenges into data‑driven solutions.
- Collaboration: Strong partnership mindset, capable of translating technical concepts for non‑technical audiences.
- Ownership: Proactive stewardship of data products, from inception through production support.
- Adaptability: Comfort navigating ambiguous requirements and rapidly shifting priorities in a fast‑paced environment.
- Quality Focus: Commitment to data integrity, reliability, and reproducibility.
Career Growth & Learning Opportunities
careerzynith invests heavily in the professional development of its employees. As a senior data engineer, you will have access to:
- Mentorship from industry‑leading data architects and senior leaders within the Data Science & Analytics organization.
- Opportunities to lead high‑visibility projects that directly impact millions of members worldwide.
- Continuous learning budgets for conferences, certifications, and online courses covering emerging technologies such as real‑time analytics, advanced machine learning, and cloud data platforms.
- A clear promotion pathway that rewards technical expertise, leadership impact, and cross‑functional influence.
- Exposure to a global, multilingual customer base, enriching your perspective on how data can drive culturally aware product decisions.
Work Environment & Culture at careerzynith
Our culture is built on freedom, responsibility, and a relentless focus on delivering value to members. At careerzynith you will experience:
- High‑Impact Autonomy: Small, empowered teams that own end‑to‑end data products, allowing you to see the tangible results of your work.
- Inclusive Collaboration: A diverse workforce where every voice is heard, and ideas are judged on merit, not seniority.
- Remote‑First Flexibility: The ability to work from anywhere, supported by robust communication tools and a culture that values outcomes over hours logged.
- Transparent Feedback Loops: Regular 1‑on‑1s, peer reviews, and open forums that encourage continuous improvement.
- Innovation Encouragement: Time and resources allocated for exploratory projects, hackathons, and experimentation.
Compensation, Perks & Benefits
careerzynith offers a competitive, market‑aligned compensation package that emphasizes flexibility and long‑term value creation:
- Base Salary: A generous annual salary range from $170,000 to $720,000, calibrated to your experience, skill set, and market data.
- Equity Options: Choose each year how much of your total compensation you would like to receive as stock options versus cash salary.
- Health & Wellness: Comprehensive medical, dental, and vision plans, mental‑health resources, and wellness stipends.
- Retirement Planning: 401(k) plan with employer match to help you build a secure financial future.
- Paid Time Off: Flexible time off for salaried employees and 35 days of accrued PTO for hourly staff, supporting work‑life balance.
- Family Benefits: Family‑forming assistance, parental leave, and support for caregivers.
- Professional Development: Access to learning platforms, conference attendance, and internal tech talks.
- Additional Perks: Disability coverage, health savings accounts, flexible spending accounts, and life/serious injury insurance.
Commitment to Diversity, Equity & Inclusion
careerzynith is an equal‑opportunity employer. We celebrate the richness of diverse perspectives, backgrounds, and experiences. Our inclusive policies ensure that every employee—regardless of race, gender, sexual orientation, disability, or any other characteristic—is valued and empowered to thrive. We believe that a diverse workforce fuels creativity, drives better decision‑making, and ultimately delivers a superior experience to our members.
How to Apply
If you are passionate about turning raw data into strategic insights, love solving complex engineering challenges, and want to make a measurable impact on a global entertainment platform, we want to hear from you. Join careerzynith’s Data Science & Analytics team and help shape the future of customer service for millions of members worldwide.
Apply Now – Take the Next Step in Your Data Engineering Career!
Closing Thoughts
At careerzynith, your work will be more than just code—it will be the backbone of an experience that brings joy, connection, and storytelling to people around the globe. We invite you to bring your expertise, curiosity, and collaborative spirit to a role where data meets human connection. Apply today and become part of a team that is redefining entertainment, one data pipeline at a time.
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