Analytics Pipeline Architect
2 weeks ago
We're a fast-growing podcast and audiobook platform in Europe, dedicated to enriching people's lives through listening. We offer a unique revenue-sharing model that rewards creators for making content that people want to hear. Our platform puts a world of podcasts and audiobooks at users' fingertips, providing endless entertainment and educational opportunities.
We're looking for a skilled Data Engineer to join our team and contribute to the development of our technical platform. The ideal candidate will have experience working with data pipelines, cloud infrastructure, and business intelligence tools. They will be responsible for designing, building, and maintaining robust data solutions that support our business needs.
This role offers an exciting opportunity to work with a talented team, learn from experienced professionals, and make a meaningful impact on the company's growth and success.
Responsibilities
- Design and implement data pipelines using various technologies such as Python, Apache Beam, and Cloud Dataflow.
- Maintain and improve existing data platforms, ensuring high performance, scalability, and reliability.
- Collaborate with cross-functional teams to develop business intelligence solutions, including data visualization, reporting, and analytics.
- Work closely with data analysts and scientists to understand their needs and provide high-quality data solutions.
Requirements
- 2-3 years of experience in data engineering or a related field.
- Strong proficiency in programming languages such as Python, Java, or C++.
- Familiarity with cloud-based data platforms, including Google Cloud, Amazon Web Services, or Microsoft Azure.
- Experience with data warehousing, ETL processes, and data governance.
- Excellent problem-solving skills, attention to detail, and ability to work under pressure.
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