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Senior Data Engineer @
3 weeks ago
- BS/BA in Data Engineering/Computer Science + 5 years of experience or related field or 8 years of relevant experience, demonstrating leadership and innovation.
- Extensive expertise with Apache Spark (especially PySpark), Hadoop, and Apache Hive with a proven track record of optimizing large-scale data systems.
- Strong programming skills in Python.
- Comprehensive understanding of database concepts, including experience with NoSQL databases (e.g., MongoDB, Redis) and ideally vector databases.
- Proven hands-on experience with stream processing, preferably using Apache Flink.
- In-depth knowledge of distributed computing, data warehousing, and performance optimization techniques.
- Exceptional problem-solving and communication skills, with experience working in cross-functional teams.
- Fluency in Polish and English.
- Experience with LLMs, prompt engineering, or machine learning workflows (we use this in conjunction with vector DBs).
- Proficiency in Java or Scala - useful for deeper Spark optimization or contributing to broader engineering projects.
- Familiarity with Spring Boot for building and deploying data applications.
We are Tooploox, an AI software development company offering custom AI solutions and services. We help innovative companies and startups design and build digital products with generative AI, mobile, and web technologies.
Our team, consisting of nearly 200 experts including our R&D team of over 40 engineers, many with PhDs, has pioneered AI solutions across industries like healthcare, fashion, and e-commerce. We've published over 15 research papers in top conferences like NeurIPS and ICML.
We're on the lookout for a Senior Data Engineer to take on a pivotal role in our team. You'll be at the heart of working with data, focusing on scalable batch and streaming data pipelines. If you're someone who loves to merge traditional software development with innovative AI technologies, this role is tailor-made for you.
Feel invited
,[Design, develop, and maintain scalable batch and streaming data pipelines., Work with Python to transform, process, and integrate data., Handle a mix of structured and unstructured data, including work with NoSQL and vector databases., Optimize performance across big data workflows, including tuning Hive and Spark jobs.] Requirements: Python, PySpark, Data base, Hadoop, Apache Flink, Distributed computing, LLM, Java, Scala, Spring Boot Additionally: Sport subscription, Training budget, Private healthcare, Free coffee, Gym, Bike parking, Playroom, Shower, Free snacks, Free beverages, In-house trainings, Modern office, Startup atmosphere, No dress code.