Senior Data Engineer – Advanced Data Architecture, ETL Pipeline Development & Streaming Analytics Leadership at careerzynith

About careerzynith

careerzynith is a global leader in entertainment and streaming technology, delivering immersive experiences to millions of viewers worldwide. With a portfolio that spans cutting‑edge streaming platforms, original content production, and innovative advertising solutions, careerzynith continuously pushes the boundaries of what’s possible in digital media. Our commitment to creativity, technology, and data‑driven decision‑making fuels a culture where bold ideas thrive and every employee has the opportunity to shape the future of entertainment.

Why This Role Matters

As a Senior Data Engineer at careerzynith, you will be at the heart of our data ecosystem, designing and building the pipelines that power real‑time analytics, personalized recommendations, and strategic business insights across all of our streaming brands. Your work will directly influence product development, audience engagement, and revenue growth, ensuring that careerzynith remains at the forefront of the industry’s data‑centric transformation.

Key Responsibilities

• Data Pipeline Architecture: Design, develop, and maintain scalable ETL/ELT pipelines that ingest, transform, and load data from internal and external sources into our data warehouse and lake environments.
• Collaboration with Stakeholders: Partner with product managers, data scientists, analysts, and engineering teams to gather requirements, translate business needs into technical specifications, and deliver robust data solutions.
• Schema Design & Modeling: Create logical and physical data models that support high‑performance querying, data governance, and future scalability.
• Data Quality & Governance: Implement automated data quality checks, monitoring, and alerting mechanisms to ensure data integrity and compliance with industry standards.
• Performance Optimization: Conduct SQL tuning, pipeline profiling, and resource optimization to achieve low‑latency data delivery and cost‑effective processing.
• Technology Evaluation: Evaluate emerging data technologies (e.g., Snowflake, Databricks, Redshift, Airflow, NiFi) and recommend adoption strategies that align with careerzynith’s roadmap.
• Documentation & Knowledge Sharing: Produce clear documentation, run workshops, and mentor junior engineers to foster a culture of continuous learning.
• Ad‑hoc Analysis & Research: Perform deep‑dive investigations into data anomalies, support A/B testing initiatives, and contribute to strategic analytics projects as needed.

Essential Qualifications

• Minimum 2+ years of hands‑on experience designing and implementing enterprise‑grade data warehouses or data lakes.
• Strong understanding of data modeling concepts, including star and snowflake schemas, normalization, and data vault techniques.
• Expertise with relational databases and SQL engines (e.g., PostgreSQL, MySQL, SQL Server) and proven ability to write complex, performance‑tuned queries.
• Experience building ETL pipelines using orchestration tools such as Apache Airflow, Azure Data Factory, or similar.
• Demonstrated ability to work collaboratively in cross‑functional teams, translating business requirements into technical deliverables.
• Excellent analytical thinking, problem‑solving skills, and a data‑first mindset.
• Strong verbal and written communication skills, with the ability to present technical concepts to non‑technical audiences.
• Familiarity with Agile and Scrum methodologies, thriving in fast‑paced, iterative development cycles.

Preferred Qualifications & Skills

• Experience with cloud‑based data platforms such as Snowflake, Amazon Redshift, or Google BigQuery.
• Proficiency in programming languages for data engineering, especially Python, PySpark, or Scala.
• Hands‑on experience with modern data processing frameworks like Databricks, EMR, or Flink.
• Knowledge of streaming data technologies (e.g., Kafka, Kinesis) and real‑time analytics pipelines.
• Exposure to data governance tools and frameworks (e.g., Collibra, Alation).
• Certifications in cloud platforms (AWS, Azure, GCP) or data engineering (e.g., Google Professional Data Engineer).
• Track record of delivering data solutions that directly impacted product metrics, user engagement, or revenue growth.

Core Skills & Competencies

• Technical Acumen: Deep knowledge of relational and NoSQL databases, data warehousing, and big‑data ecosystems.
• Analytical Rigor: Ability to dissect complex data problems, identify root causes, and propose scalable solutions.
• Collaboration: Strong teamwork orientation, comfortable partnering with diverse stakeholders across product, engineering, and analytics.
• Adaptability: Thrive in a dynamic environment where priorities shift quickly and new challenges emerge daily.
• Continuous Learning: Passion for staying current with emerging data technologies and industry best practices.
• Ownership: Proactive mindset, taking end‑to‑end responsibility for data pipelines from design through production monitoring.

Career Growth & Learning Opportunities

careerzynith invests heavily in the professional development of its employees. In this role, you will have access to:

• Mentorship from senior architects and industry veterans.
• Sponsored certifications and training programs in cloud platforms, data engineering, and machine learning.
• Opportunities to lead high‑impact projects that influence the company’s strategic direction.
• Cross‑functional rotations that broaden your expertise across product, analytics, and infrastructure domains.
• Participation in internal hackathons, innovation labs, and knowledge‑sharing forums.

Work Environment & Culture at careerzynith

Our culture is built on creativity, inclusivity, and a relentless pursuit of excellence. At careerzynith you will experience:

• Collaborative Spaces: Open‑plan offices and virtual collaboration tools that encourage idea exchange.
• Diversity & Inclusion: A commitment to building a workforce that reflects the global audience we serve.
• Flexibility: Hybrid work options, flexible hours, and generous paid time off to support work‑life balance.
• Well‑Being Programs: Health and wellness benefits, mental health resources, and employee assistance programs.
• Recognition & Rewards: Regular performance reviews, spot bonuses, and a culture that celebrates achievements.

Compensation, Perks & Benefits

careerzynith offers a competitive compensation package that includes:

• Base salary aligned with market benchmarks for senior data engineering talent.
• Performance‑based bonuses tied to individual and company success.
• Comprehensive health, dental, and vision coverage.
• Retirement savings plans with company matching contributions.
• Generous paid parental leave, vacation, and sick days.
• Professional development stipend for conferences, courses, and certifications.
• Access to cutting‑edge technology, cloud resources, and a collaborative engineering environment.

How to Apply

If you are passionate about turning raw data into strategic insight and want to make a tangible impact on a world‑class streaming business, we want to hear from you. Join careerzynith and help shape the future of entertainment through data‑driven innovation.

Apply Now and start your journey with careerzynith today.