Data Engineer @ Tooploox
(práce v Polsku)

Data Engineer @ Tooploox

Polsko

Experience and skills you need to join us:

• BS/BA in Data Engineering/Computer Science + 2 years of experience or related field or 5 years of relevant experience.
• 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.

It would be great if you also have:

• Experience with LLMs, prompt engineering, or machine learning workflows (we use this in conjunction with vector DBs).
• Experience 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. 

Were on the lookout for a Data Engineer to take on a pivotal role in our team. Youll be at the heart of working with data, focusing on scalable batch and streaming data pipelines. If youre someone who loves to merge traditional software development with innovative AI technologies, this role is tailor-made for you.

What we offer:

• ? 26 days of annual service break.
• ? An additional pool of 14 days per year paid at 80% of your standard rate.
• ?? English lessons once a week or more frequently, depending on your needs.
• ? Access to a curated library of books and e-books, regularly updated based on employee suggestions, plus recurring knowledge-sharing initiatives.
• ? Profit Sharing – twice a year, part of the company’s profit is distributed among all team members.
• ? Flexible hours and the option to work 100% remotely or from one of our offices in Wrocław or Warsaw.
• ? Top-quality equipment – we provide MacBooks, new monitors, noise-cancelling headphones, and any additional gear you may need to work comfortably.
• ? Group insurance with Warta and private medical care with Enel-Med for just 1 PLN.
• ? Mental health support – we offer access to a psychologist with fully anonymous consultations if needed.
• ?‍♂ Multisport card (we cover most of the cost – your contribution is currently no more than 45 PLN, or less depending on the selected package), access to gyms in our Wrocław and Warsaw offices, and sports initiatives like the annual Bike 2 Work Challenge.
• ???? We host team lunches, webinars, game nights, and social events. We enjoy the occasional barbecue, dance party, time on the terrace, foosball, or PlayStation session.

,[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, Hadoop, Flink, Hive, Big data, ETL, SQL, NoSQL, LLM, Java, Scala, Spring Boot Additionally: Sport subscription, Training budget, Private healthcare, Life & group insurance, Free coffee, Gym, Bike parking, Playroom, Shower, Free snacks, Free beverages, In-house trainings, Modern office, Startup atmosphere, No dress code.

Kategorie

data

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