knowmad mood
knowmad mood
knowmad mood — кәсіпорындарға операцияларын, клиенттік тәжірибесін және технологиялық платформаларын жаңғыртуға көмектесетін көпұлтты цифрлық трансформация және технологиялық қызметтер компаниясы. Компанияның қызметі цифрлық арналар мен коммерция, UX/UI, мобильді технологиялар, платформалар, деректер мен аналитика, AWS қоса алғандағы бұлтты инфрақұрылым, жасанды интеллект, блокчейн, IoT, DevOps, сапаны қамтамасыз ету, тестілеу, қауіпсіздік, шешімдер архитектурасы, сондай-ақ Atlassian және IT-ді басқару бағыттарындағы консалтингті, бағдарламалық жасақтама әзірлеуді және техникалық сараптаманы біріктіреді. Компания банк ісі, телекоммуникациялар, бөлшек сауда, денсаулық сақтау, энергетика, автомобиль жасау және логистика сияқты салалардағы B2B клиенттерге қызмет көрсетіп, масштабталатын цифрлық шешімдер мен технологияларды ұзақ мерзімді трансформациялауға назар аударады.

Senior Data Engineer — Remote in Spain at knowmad mood

Join knowmad mood as a Senior Data Engineer building scalable Spark and PySpark pipelines on Microsoft Azure. You will develop governed, production-ready data solutions for digital transformation clients.

Сипаттама

  • Build, enhance, and tune large-scale data pipelines with Apache Spark and Python/PySpark
  • Produce dependable, reusable datasets for analytical and business use cases
  • Create and support cloud data solutions on Microsoft Azure
  • Efficiently process, transform, store, and make data available across platforms and applications
  • Establish pipeline controls for data quality, validation, monitoring, and documentation
  • Work with data engineering, data science, architecture, and business stakeholders to translate needs into practical solutions
  • Advance engineering standards covering code quality, testing, version control, CI/CD, and automation
  • Use data governance, cataloging, and quality-monitoring practices
  • Help shape scalable architectures for cloud-based data platforms

Талаптар

  • At least five years of professional experience in data engineering
  • At least five years of production experience using Apache Spark with Python or PySpark
  • A track record of building and maintaining production-grade pipelines in large-scale or complex data environments
  • Solid knowledge of dimensional modeling and data warehouse design
  • Experience architecting scalable cloud-based data platforms
  • Ability to advise on ETL/ELT practices and data engineering standards
  • Preferred: experience with Databricks, Delta Lake, Unity Catalog, and Databricks Workflows
  • Preferred: practical experience delivering data engineering solutions with Azure Databricks
  • Preferred: familiarity with data governance and data cataloging frameworks

Артықшылықтар

  • Permanent employment contract
  • Fully remote working model, with office attendance optional at the employee’s discretion
  • Flexible schedule and shorter Fridays
  • Reduced working hours during July and August
  • 22 vacation days plus 2 personal days
  • December 24 and 31 provided as days off
  • Choice between 12 or 14 annual payments
  • Flexible benefits package including a restaurant card, childcare voucher, health insurance, training, and other tax-advantaged options
  • Discounts on technology, leisure, and training services
  • Udemy Business access, language learning, official certifications, and technical training
  • Career development support for growth, specialization, and new challenges
  • Programs supporting nutrition, physical activity, and emotional wellbeing
  • 24/7 personal and family assistance
  • Diverse, multicultural workplace
  • Social and team-building activities

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