WHAT YOU WILL DO
- Design, develop, and optimize large-scale data pipelines and infrastructure.
- Architect scalable and efficient solutions for data ingestion, transformation, and storage, ensuring performance, reliability, and security.
- Collaborate cross-functionally with Data Science, Analytics, and Product teams to translate business needs into data-driven solutions.
- Enhance monitoring and observability of data processes, improving debugging, error detection, and system reliability.
- Drive best practices for code quality, testing, and software design in data engineering.
WHO YOU ARE
- 5 + years of experience in Data Engineering, Software Engineering, or a related field.
- Must-have expertise in Apache Airflow, Databricks, and PySpark for orchestration, scalable data processing, and transformation.
- Expertise in Python or strong proficiency in another modern programming language with a willingness to master Python.
- Deep understanding of distributed data processing frameworks (e.g., Apache Spark, or similar).
- Strong knowledge of data modelling, database design, and query optimization for both relational and non-relational databases.
- Experience with cloud-based data infrastructure (AWS, GCP, or Azure) and modern data lake architectures.
- Familiarity with CI/CD pipelines and automation tools for data engineering.
- Excellent problem-solving and communication skills, with the ability to work effectively in a distributed team environment.
Top Skills
What We Do
Television remains a vibrant cultural influence and an essential source of entertainment and information worldwide. Tremendous growth in content choices, and viewing platforms that allow us to watch anything, anytime, on any screen, has actually made it harder for viewers to discover and keep up with all the great programming available. It’s also more competitive for content providers to keep your attention, and for marketers to make strong, measurable connections with their target consumers.
Technology that improves the viewing experience, enables content discovery, and addresses audience fragmentation across screens will strengthen television’s business model and relevance to consumers. Data is at the center of any solution to make TV better.
Samba TV's technology is built into Smart TVs and easily maps to smart phones and tablets. By recognizing what's on screen, Samba TV learns what viewers like and using machine learning algorithms, enables discovery of shows and actors in a whole new way. Likewise, our data and measurement products are transforming the way stakeholders across the media landscape are thinking about their business. Given the dramatic growth in streaming services, connected devices, time-shifting, and multi-screen viewership, our data products solve real problems and create a meaningful competitive advantage for our clients.