HITCONTRACT
HITCONTRACT
HITCONTRACT — 2015 жылы құрылған, жұмыс берушілер мен технология мамандарына тегін жұмысқа қабылдау платформасы және АТ саласына маманданған бос жұмыс орындары тақтасы арқылы қызмет көрсететін шағын АТ рекрутинг және келісімшарттық жұмыс агенттігі. Компанияның қызметтері рекрутингті, келісімшарт негізіндегі жұмысты, консалтингті, түйіндеме қабылдауды және бос жұмыс орындарын жариялауды қамтиды. Негізгі мақсаты — орта және жоғары деңгейлі АТ мамандары мен мердігерлерді сәйкес мүмкіндіктермен байланыстыру. HITCONTRACT QA автоматтандыру, Python әзірлеу және PMO талдауы сияқты бағыттар бойынша жұмысқа қабылдауды қолдау үшін HITMATCH алгоритмін және 17 000-нан астам әзірлеуші туралы деректер базасын пайдаланады. Литвада орналасқан әрі Еуропа мен қашықтан жұмыс істеу нарығында қызмет ететін компания технология саласындағы келесі жұмысын іздейтін үміткерлерге тұрақты және келісімшарттық позицияларды ұсынады.

Senior Data Engineer – Remote in Lithuania

Lead the design of banking data pipelines across AWS, Oracle, Airflow, dbt, and SAP. Help modernize legacy systems using Data Mesh and Medallion architectures.

Сипаттама

  • Design and enhance data ingestion, processing, storage, and sharing across AWS cloud and legacy data warehouse environments within a Data Mesh platform.
  • Develop and optimize ETL and ELT pipelines and data architectures with Airflow, dbt, and SAP Data Services.
  • Help migrate and modernize legacy data systems toward cloud-native architecture.
  • Maintain strong data quality, security, and performance across data workflows.
  • Work with analysts, engineers, and business stakeholders to deliver scalable data solutions.
  • Conduct code reviews, establish monitoring and alerting, and fix data pipeline issues.
  • Join the EOD ROTA rotation and remain available for incident resolution until 23:00–24:00.

Талаптар

  • Demonstrated practical experience using SQL and Python.
  • Hands-on experience with AWS, Azure, or Google Cloud Platform.
  • Working knowledge of pipeline orchestration and transformation tools such as Airflow or dbt.
  • Experience with enterprise data platforms including Oracle Database, SAP IQ, SAP Data Services, and SAP Business Objects.
  • Understanding of real-time, message-based, and event-driven integrations, including connections between legacy and modern data platforms.
  • Familiarity with test automation and DevOps practices, including infrastructure as code, security, CI/CD, and SDLC principles.
  • Experience delivering Data Products and applying Medallion and Data Mesh architectures.
  • Strong communication and teamwork abilities.
  • Fluency in English.
  • Citizenship of a Baltic state or Poland.

Артықшылықтар

  • Remote work arrangement.
  • Twelve-month project duration.

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