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We operate a proprietary DAG stateful-stream-processing information retrieval system (think of a search engine). We run container-based with distributed and scalable agents. Our Stack is Python, Kafka, Scrapy, PostgreSQL, Elastic Search, Docker. IF YOU ARE: Passionate about working on the world's largest startup search engine and use your talent planning, building and operating critical information systems that convert raw data to knowledge - then you are at the right place! YOU BRING: 10+ years work experience with big data / data engineering / DAG stateful-stream-processing / data pipelines Strong practical knowledge of Python and its libraries Experience with: Elastic Search, PostgreSQL, Docker Familiar with stream platforms e.g. Kafka Enjoy processing large, unstructured data-sets from multiple sources Profound understanding of software development principles Good written and spoken English YOUR MISSION: Lead the design and operation of scalable data systems to map the world's information on startups, scaleups and technologies WHAT YOU GET IN RETURN: Work with the global innovation and startup intelligence leader Join an environment where your decisions shape the future of the entire organization Work fully remote, with a strong distributed team that stay connected Regular visits to our HQ in Vienna (AT) and other company hot-spots Enjoy 25 paid work-free days per year Full-time remote position (40 hrs/week) Competitive package Apply via ---@--- |
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