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About careerzynith – Pioneering the Future of Digital Entertainment
careerzynith is a global leader in streaming entertainment, delivering millions of hours of premium content to audiences worldwide. With a portfolio that spans movies, series, live sports, and original productions, careerzynith combines cutting‑edge technology with storytelling expertise to create unforgettable experiences. Our mission is to redefine how people consume entertainment by leveraging data‑driven personalization, innovative platform engineering, and a relentless focus on user delight.
Why This Role Matters
As a Senior Software Development Engineer – Data Platform, you will be at the heart of careerzynith’s data ecosystem. You will design, build, and maintain the high‑performance data infrastructure that powers recommendation engines, analytics dashboards, and real‑time streaming experiences for hundreds of millions of users. This is a unique opportunity to shape the data backbone of a world‑class entertainment platform while working remotely from anywhere in California.
Role Overview
In the Information Stage (Data Platform) team, you will collaborate with product managers, data scientists, and engineering peers to deliver robust, scalable, and secure data solutions. Your work will enable cross‑functional teams to ingest, process, and query petabyte‑scale datasets with low latency, ensuring that careerzynith can deliver personalized content recommendations, real‑time analytics, and seamless streaming experiences.
Key Responsibilities
- Architect, develop, and operate large‑scale data pipelines that ingest and transform petabytes of streaming and user interaction data.
- Design and implement data storage solutions (e.g., Delta Lake, Apache Hudi, Parquet) that support both batch and real‑time analytics workloads.
- Build and maintain high‑throughput messaging systems using Apache Kafka and its ecosystem to enable reliable data flow across services.
- Collaborate with machine‑learning engineers to create feature stores and data feeds that power recommendation algorithms and personalization engines.
- Optimize SQL and Flink/Flash streaming queries for performance, cost efficiency, and scalability.
- Drive adoption of best practices in data governance, security, and compliance across the data platform.
- Mentor junior engineers, fostering a culture of continuous learning, code quality, and collaborative problem solving.
- Stay abreast of emerging technologies (e.g., Snowflake, Databricks, AWS Glue) and evaluate their fit for careerzynith’s evolving data strategy.
- Participate in architectural reviews, capacity planning, and incident response to ensure high availability of critical data services.
- Contribute to the creation of internal documentation, runbooks, and knowledge‑sharing sessions for the broader engineering organization.
Essential Qualifications
- Education: Bachelor’s degree in Computer Science, Software Engineering, or a related technical field (or equivalent practical experience).
- Experience: 4–6 years of professional software development experience, with at least 3 years focused on data‑intensive systems.
- Programming Skills: Proficiency in at least one of the following languages: Java, Scala, Go, or Python.
- Big Data Technologies: Hands‑on experience with Apache Kafka, Apache Flink or Apache Spark Streaming, Hadoop ecosystem components, and SQL‑based analytics engines (Hive, Presto, Trino).
- Cloud Platforms: Strong working knowledge of AWS services such as S3, EMR, RDS, and Glue.
- Data Modeling: Deep understanding of data storage formats (Parquet, ORC) and lake‑house concepts.
- Problem‑Solving: Demonstrated ability to design solutions for high‑scale, low‑latency data processing challenges.
- Communication: Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non‑technical stakeholders.
Preferred Qualifications & Additional Skills
- Master’s or Ph.D. in Computer Science, Data Engineering, or a related discipline.
- Experience with data lake‑house platforms such as Databricks or Snowflake.
- Familiarity with stream processing frameworks like Apache Flink, Apache Beam, or Structured Streaming.
- Knowledge of data governance tools (e.g., Apache Atlas, AWS Lake Formation).
- Exposure to CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure‑as‑code (Terraform, CloudFormation).
- Track record of contributing to open‑source projects or publishing technical articles.
Core Skills & Competencies
- Analytical Mindset: Ability to dissect complex data flows, identify bottlenecks, and propose optimized solutions.
- Collaboration: Proven experience working in cross‑functional, agile teams, and influencing technical direction.
- Leadership: Capacity to mentor junior engineers and lead technical discussions without formal authority.
- Adaptability: Comfort with fast‑paced environments, shifting priorities, and evolving product requirements.
- Quality Focus: Commitment to writing clean, testable, and well‑documented code.
- Customer Obsession: Understanding of how data infrastructure directly impacts user experience and business outcomes.
Career Growth & Learning Opportunities
careerzynith invests heavily in the professional development of its engineers. In this role, you will have access to:
- Mentorship from senior architects who have built data platforms at scale.
- Sponsored certifications (e.g., AWS Certified Data Analytics, Google Cloud Professional Data Engineer).
- Internal tech talks, hackathons, and knowledge‑sharing forums.
- Opportunities to lead high‑visibility projects that directly influence product strategy.
- A clear career ladder from Senior Engineer to Principal Engineer, Staff Engineer, and beyond.
Compensation, Perks & Benefits
careerzynith offers a competitive total rewards package that includes:
- Base salary ranging from $35,000 to $40,000 per year, commensurate with experience and market benchmarks.
- Performance‑based bonuses and equity grants to share in the company’s success.
- Comprehensive health, dental, and vision coverage for you and eligible dependents.
- Generous paid time off, parental leave, and flexible holiday policies.
- Remote‑first work model with a stipend for home office setup and high‑speed internet.
- Professional development budget, conference attendance, and access to online learning platforms.
- Wellness programs, employee assistance resources, and virtual social events.
Work Environment & Culture at careerzynith
Our culture is built on three pillars: Innovation, Inclusion, and Impact. We celebrate diverse perspectives, encourage curiosity, and empower every team member to make meaningful contributions. As a remote‑first organization, we prioritize clear communication, asynchronous collaboration, and a supportive environment where work‑life balance is respected.
Key cultural highlights include:
- Regular virtual coffee chats and team‑building activities to foster connection across geographies.
- Open‑door leadership: senior leaders are accessible and actively solicit feedback.
- Commitment to sustainability and social responsibility through community outreach programs.
- Recognition programs that celebrate technical excellence, mentorship, and innovative ideas.
Application Process
Ready to shape the data future of a global entertainment powerhouse? Follow these steps to apply:
- Review the official job notification on the careerzynith careers portal.
- Prepare the required documents: a copy of your degree certificate with transcripts, a passport‑size photograph, and a digital signature.
- Complete the online application form, attaching the documents listed above.
- Submit your application and await a confirmation email with next steps.
We encourage candidates to showcase any open‑source contributions, personal projects, or technical blogs that demonstrate their expertise in data engineering.
Join careerzynith – Make an Impact at Scale
If you are passionate about building data platforms that power billions of streaming interactions, thrive in a collaborative remote environment, and want to grow alongside industry leaders, careerzynith wants to hear from you. Bring your expertise, curiosity, and drive to a team that is redefining entertainment for the digital age.
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