Senior Data Engineer – Data Architecture, ETL & Streaming Platform Innovation at careerzynith

About careerzynith

careerzynith is a global leader in entertainment and streaming, delivering unforgettable experiences to millions of viewers every day. With a portfolio that spans cutting‑edge streaming services, original content production, and a vibrant ecosystem of digital platforms, careerzynith is at the forefront of the media revolution. Our mission is to inspire, entertain, and connect audiences worldwide through innovative technology and storytelling. As we continue to expand our data‑driven capabilities, we are looking for visionary data professionals who thrive in fast‑paced, collaborative environments.

Why This Role Matters

As a Senior Data Engineer at careerzynith, you will be a pivotal member of the Promotion Stages group—a team responsible for building the data infrastructure that powers our industry‑leading streaming business. Your work will directly influence how content is discovered, recommended, and delivered to users across all careerzynith platforms. By designing robust data pipelines, ensuring data quality, and collaborating with cross‑functional partners, you will help shape the future of entertainment and enable data‑driven decision making at scale.

Key Responsibilities

• Data Pipeline Design & Development: Architect, build, and maintain high‑performance ETL pipelines that ingest, transform, and load data from internal and external sources into our data warehouse.
• Collaboration with Stakeholders: Partner with product, analytics, and engineering teams to gather data requirements, translate business needs into technical specifications, and deliver reliable data solutions.
• Schema Modeling: Design logical and physical database schemas that support complex analytical workloads while ensuring scalability and maintainability.
• Data Quality Assurance: Implement automated data quality checks, monitoring, and alerting to guarantee the integrity and accuracy of critical data assets.
• Performance Optimization: Conduct SQL and ETL tuning, optimize query performance, and fine‑tune data pipelines to meet stringent SLAs.
• Technology Evaluation & Adoption: Evaluate emerging data technologies (e.g., Snowflake, Redshift, Databricks, Airflow) and recommend best‑in‑class solutions that align with careerzynith’s strategic roadmap.
• Documentation & Knowledge Sharing: Produce clear documentation, data dictionaries, and runbooks; mentor junior engineers and foster a culture of continuous learning.
• Ad‑hoc Analysis & Research: Perform investigative data analysis to support product experiments, A/B testing, and strategic initiatives.
• Agile Delivery: Participate in Scrum ceremonies, contribute to sprint planning, and deliver incremental value in a fast‑moving, collaborative environment.

Essential Qualifications

• Minimum 2+ years of hands‑on experience designing and implementing data warehouse solutions.
• Strong understanding of data modeling concepts, including dimensional modeling, normalization, and data standardization.
• Expertise with SQL engines (e.g., PostgreSQL, MySQL, Snowflake) and proven ability to perform advanced query optimization.
• Demonstrated experience building and maintaining ETL pipelines using tools such as Apache Airflow, NiFi, or similar orchestration platforms.
• Proficiency in at least one programming language for data engineering (e.g., Python, PySpark) and a solid grasp of software development best practices.
• Excellent analytical mindset with the ability to interpret complex business requirements and translate them into scalable data solutions.
• Strong communication skills—both written and verbal—and the ability to collaborate effectively with technical and non‑technical stakeholders.
• Experience working in an Agile/Scrum environment and familiarity with CI/CD pipelines for data workloads.

Preferred Qualifications

• Experience implementing and monitoring data quality frameworks (e.g., Great Expectations, Deequ).
• Hands‑on experience with cloud data platforms such as Snowflake, Amazon Redshift, or Google BigQuery.
• Background in building data pipelines on distributed processing engines like Databricks, EMR, or Spark.
• Knowledge of streaming data technologies (e.g., Kafka, Kinesis) and real‑time analytics.
• Familiarity with data governance, security, and compliance standards in a media or entertainment context.
• Advanced degree (M.S. or Ph.D.) in Computer Science, Data Engineering, or a related field.

Core Skills & Competencies

• Technical Acumen: Deep expertise in relational databases, data warehousing, and ETL orchestration.
• Problem‑Solving: Ability to diagnose performance bottlenecks, troubleshoot data anomalies, and devise innovative solutions.
• Collaboration: Proven track record of working cross‑functionally with product managers, data scientists, and software engineers.
• Adaptability: Comfortable thriving in a rapidly evolving environment where priorities shift and new technologies emerge.
• Attention to Detail: Commitment to delivering high‑quality, reliable data pipelines that meet rigorous standards.
• Leadership: Mentor junior team members, champion best practices, and contribute to the overall technical direction of the data platform.

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 veterans and senior architects.
• Sponsored certifications (e.g., Snowflake, AWS, Google Cloud) and attendance at leading data conferences.
• Opportunities to lead high‑impact projects that directly influence product strategy and user experience.
• Cross‑team rotations to broaden your expertise across analytics, machine learning, and product engineering.
• A clear career ladder that can lead to roles such as Data Architecture Lead, Platform Engineering Manager, or Director of Data Engineering.

Work Environment & Culture at careerzynith

Our culture is built on creativity, curiosity, and collaboration. At careerzynith you will find:

• Inclusive Community: A diverse workforce where every voice is valued and ideas are encouraged.
• Innovation‑First Mindset: Teams are empowered to experiment, iterate, and push the boundaries of what’s possible in entertainment technology.
• Flexible Work Options: Hybrid work arrangements, generous remote‑work policies, and flexible hours to support work‑life balance.
• State‑of‑the‑Art Facilities: Modern office spaces equipped with collaborative zones, quiet focus rooms, and wellness areas.
• Community Impact: Opportunities to contribute to social responsibility initiatives and sustainability programs.

Compensation, Perks & Benefits

careerzynith offers a competitive total rewards package that includes:

• Base salary commensurate with experience (starting at $26 per hour for entry‑level, with rapid progression for senior talent).
• Performance‑based bonuses and equity participation.
• Comprehensive health, dental, and vision coverage.
• Generous paid time off, parental leave, and holiday schedules.
• Retirement savings plans with company matching.
• Professional development stipend, tuition reimbursement, and access to online learning platforms.
• Wellness programs, on‑site fitness facilities, and mental‑health resources.
• Employee discounts on careerzynith streaming subscriptions and entertainment experiences.

How to Apply

If you are passionate about turning raw data into strategic insight and want to be part of a world‑class entertainment powerhouse, we want to hear from you. Submit your resume, a cover letter highlighting your most relevant projects, and any portfolio or GitHub links that showcase your data engineering expertise.

Join careerzynith and help shape the future of streaming for audiences around the globe.

Apply Now