Data Engineer

hace 1 día


Madrid, Madrid, España Ravenpack A tiempo completo

About RavenPack

We are at the forefront of developing next-generation AI tools for the finance industry. With 20 years of experience as a leading big data analytics provider, we empower our clients to enhance returns, reduce risk, and increase efficiency by integrating public information into their models and workflows.

We have been recognized as the Best Alternative Data Provider by WatersTechnology and included in this year's Top 100 Next Unicorns by Viva Technology. We are seeking a highly skilled Data Engineer to play a pivotal role in building and maintaining our cutting-edge system. As a proficient Python and Java developer, you will design, implement, and maintain robust data pipelines to stream real-time content and manage efficient on-boarding of content archives. You will work closely with cross-functional teams to ensure scalability, reliability, and performance of our systems.

The Bigdata Store

An innovative platform designed to provide seamless access to vast collections of structured and unstructured datasets. These datasets can be directly accessed by the Bigdata AI assistant and through its API, enabling businesses, researchers, and developers to leverage data-driven insights more effectively. The product will cater to business and finance users, providing relevant and timely data that enhances decision-making processes.

What You Will Do
  • Design, build, and optimize robust data pipelines to collect, process, and transform large volumes of unstructured data from diverse sources into our new index.
  • Collaborate with product managers and stakeholders to understand requirements and translate them into technical solutions.
Key Requirements
  • Prior experience with designing and implementing data pipelines using Python and Java.
  • Familiarity with working in an Agile development environment.
  • Strong understanding of cloud computing platforms and containerization technologies.
Compensation

We offer a competitive salary of approximately $120,000 per annum, reflecting the high level of expertise and skills required for this role. Additionally, you will receive a range of benefits, including health insurance, paid vacation time, and opportunities for professional development.



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