Data Engineer for Data Platform Development
2 days ago
Samba TV is a pioneering company that tracks streaming and broadcast video across the world with its proprietary data and technology. We are on a mission to revolutionize the viewing experience for everyone, enabling media companies to connect with audiences for new shows and movies, and advertisers to engage viewers and measure reach across all their devices.
Company OverviewWe are uniquely positioned at the forefront of the TV revolution, connecting the dots to help better understand audience trends and viewership habits for marketers. Our team builds and maintains data pipelines, and we are seeking a skilled Data Engineer to join our company.
Job DescriptionIn this role, you will define, schedule, and monitor data pipelines to create tools that improve development speed and increase visibility into the availability and properties of our growing collection of datasets. You will work closely alongside members of the Data Science and other teams, leveraging your data expertise to help improve data models and processing algorithms while observing bottlenecks in the development process to gather feedback needed to further improve our data platform tools.
Key Responsibilities- Develop new data pipelines to create our TV ad impressions and viewership datasets
- Automate existing business processes and support visualization of key datasets
- Analyze and improve the efficiency, scalability, and stability of data collection, storage, and retrieval processes for our core systems
- Work with data scientists, data analysts, and other business partners developing tools and frameworks to support self-service analytics
- Improve observability and monitoring of production processes by instrumenting existing code and creating services that expose the state of pipeline jobs and datasets to internal consumers
- Focusing on the performance of individual jobs in our processing pipelines; understanding the algorithms that power them and the trade-offs and bottlenecks that affect their runtime and resource consumption
- Experience with Spark, Airflow, PySpark, Apache Spark, PostgreSQL, Databricks, AWS
- Knowledge of Jira, Bitbucket, Sonar, Agile, Scrum
We offer a range of benefits, including private healthcare, sport subscription, small teams, additional days off, flat structure, and Thursday lunch events.
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