OPEN
OPEN
OPEN — қонақжайлылық, бөлшек сауда, электр көліктерін зарядтау және жанармай бизнесіне қызмет көрсететін скандинавиялық төлемдер мен сату нүктесі технологиялары компаниясы. 2005 жылы құрылған компания Швеция, Норвегия, Финляндия және Данияда жұмыс істейді, салаға бейімделген сату нүктесі жүйелерін, төлем терминалдарын және бұлтқа қосылған SaaS қызметтерін әзірлейді. Оның платформасы бизнес интеграцияларын, қорларды басқаруды, нақты уақыттағы аналитиканы және цифрлық төлем құралдарын біріктіреді, сондай-ақ стартаптар мен қалыптасқан кәсіпорындарға тәулік бойы қолдау көрсетеді.

Data Engineer, Semarchy and SQL

Build and optimize data pipelines for critical banking platforms using Semarchy xDI and SQL. Join a data team working on ingestion, transformation, data quality, and production delivery.

Сипаттама

  • Build and maintain reliable, high-performance data pipelines.
  • Create ingestion and transformation workflows with Semarchy xDI and SQL.
  • Help shape and evolve data marts and data models.
  • Maintain data quality, consistency, and traceability across the data lifecycle.
  • Improve the performance of data processing and integration workflows.
  • Run technical acceptance tests and support production releases.
  • Collaborate with Data Analysts, business teams, and project stakeholders.
  • Take part in Agile ceremonies and continuous improvement work.

Талаптар

  • Background in data engineering, data integration, or ETL development.
  • Strong SQL skills and understanding of data transformation.
  • Experience with an integration platform such as Semarchy, Talend, Informatica, or DataStage.
  • Understanding of data quality, governance, and reliability needs.
  • Familiarity with business intelligence environments and data architecture.
  • Self-directed, detail-focused, and analytical approach to work.
  • Able to collaborate in demanding environments with significant business impact.
  • Banking or regulatory sector knowledge is an advantage.

Артықшылықтар

  • Work remotely up to three days per week.
  • Join an active Data community to share expertise and build skills.
  • Career paths include Lead Data Engineer, Data Architect, and Data Expert roles.

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