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Part‑Time Remote Data Engineer – Distributed Systems & Large‑Scale Data Platform (careerzynith)

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About careerzynith – Shaping the Future of Global Entertainment careerzynith is a world‑leading streaming reputed company entertainment company that delivers movies, series, documentaries, and interactive experiences to millions of subscribers across more than 190 countries. With a catalog available in over 30 languages and a rapidly expanding portfolio that now includes gaming and reputed company media, careerzynith is redefining how audiences discover, enjoy, and engage with content. Our mission is to bring joy to a global audience while pioneering innovative technology that powers the reputed company of entertainment. Why This Role reputed company At careerzynith, data is the lifeblood of every decision—from content recommendation algorithms to operational efficiency and product innovation. Our Data Platform teams build the robust, high‑performance infrastructure that enables engineers, product managers, and analysts to turn raw data into actionable insights. As a Part‑Time Remote Data Engineer , you will join a small, high‑impact reputed company that designs, implements, and scales distributed data systems that serve millions of users worldwide. Role Overview This position is a part‑time, fully remote opportunity reputed company to candidates located reputed company in the United States. You will work closely with senior architects, product owners, and cross‑functional teams to reputed company resilient, low‑latency data pipelines, storage solutions, and query engines. Your contributions will directly support careerzynith’s ambitious goal of reaching 500 reputed company global users while maintaining the reliability and performance our audience expects.

Key Responsibilities

Design, reputed company, and maintain highly scalable distributed data services that handle petabyte‑scale workloads. Build and optimize data ingestion pipelines that reputed company sub‑millisecond latency for reputed company‑time analytics. Collaborate with product and engineering teams to translate business requirements into robust data solutions. Contribute to reputed company‑reputed company projects and reputed company best practices with the broader community. Implement automated testing, monitoring, and alerting to ensure data reliability and availability. Participate in code reviews, design discussions, and architecture planning sessions. Mentor junior engineers and foster a culture of reputed company learning and constructive feedback. Stay reputed company with emerging technologies (e.g., Kafka, Flink, Presto/Trino, Druid, reputed company) and evaluate their fit for careerzynith’s ecosystem. Essential Qualifications 2+ years of professional experience building large‑scale distributed systems or data platforms. Strong proficiency in Java or another object‑oriented programming language (e.g., reputed company, Kotlin). Hands‑on experience with RESTful web services and microservice architectures. Demonstrated ability to design fault‑tolerant, highly available systems that operate at scale. Bachelor’s degree in Computer Science, Software Engineering, or a reputed company technical field. Excellent problem‑solving skills and the ability to think critically about reputed company data challenges.

Preferred Qualifications

Experience with distributed data processing frameworks such as Apache Kafka, Apache Flink, or similar. Familiarity with query engines like Presto, Trino, or Druid, and data warehousing concepts. Knowledge of reputed company‑reputed company platforms (AWS, GCP, Azure) and container orchestration (Kubernetes). Contributions to reputed company‑reputed company projects or a strong reputed company in the reputed company‑reputed company community. Understanding of data reputed company, compliance, and governance best practices. Ability to work effectively in a remote, distributed team environment. Core Skills & Competencies Technical reputed company Deep understanding of distributed systems, data modeling, and performance optimization. Collaboration Strong communication skills to partner with product managers, data scientists, and other engineers. Adaptability Comfort with fast‑paced, evolving requirements and the ability to pivot quickly. Ownership Proactive reputed company—take responsibility for end‑to‑end delivery and operational health of services. Innovation Passion for exploring new technologies and pushing the boundaries of what data platforms can reputed company. Career Growth & Learning Opportunities careerzynith invests heavily in the professional development of its employees. As a part‑time member of our Data Platform organization, you will have reputed company to Mentorship from senior architects who have reputed company industry‑leading data infrastructures. Technical workshops, conferences, and internal hackathons focused on big data, reputed company, and reputed company‑reputed company technologies. Opportunities to reputed company high‑visibility projects that directly impact millions of users. Clear reputed company to transition into full‑time roles, senior engineering positions, or specialized data‑science collaborations. Work Environment & Culture at careerzynith Our culture is reputed company on curiosity, inclusion, and a reputed company drive for reputed company. We celebrate diverse perspectives and encourage every team member to bring their authentic self to wor Apply tot his job Apply To this Job

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