Senior Data Engineer –

6 days ago


Remote, Czech Republic Upvanta Full time

Wymagania: 5-8 lat doświadczenia na stanowisku Data Engineer Bardzo dobra znajomość usług AWS (S3, IAM, Redshift, Sagemaker, Glue, Lambda, Step Functions, CloudWatch). Doświadczenie z platformami Databricks, Dataiku. Biegłość w Pythonie lub Javie, SQL (preferowany Redshift), Jenkins, CloudFormation, Terraform, Git, Docker. 2–3 lata doświadczenia z Apache Spark (PySpark). Dobre umiejętności komunikacyjne i dokumentacyjne (SDLC). Mile widziane: wiedza DSCS i DPTM. Poszukujemy doświadczonego Senior Data Engineera, który będzie odpowiedzialny za projektowanie, rozwój i utrzymanie nowoczesnych rozwiązań w zakresie przetwarzania i integracji danych. Osoba na tym stanowisku będzie blisko współpracować z analitykami, data scientistami oraz inżynierami ML, wspierając rozwój innowacyjnych projektów danych. Oferujemy: Udział w innowacyjnych projektach w międzynarodowym środowisku. Możliwość pracy z najnowszymi technologiami chmurowymi i big data. Dynamiczny i wspierający zespół ekspertów. ,[Projektowanie, rozwój i utrzymanie potoków danych (data pipelines) służących do ekstrakcji, transformacji i ładowania danych (ETL/ELT) do jeziora danych (Data Lake) oraz hurtowni danych., Opracowywanie reguł transformacji oraz modelowania danych., Współpraca z analitykami produktowymi, data scientistami i ML engineerami w celu przygotowania i udostępniania danych w zrozumiały sposób., Implementacja mechanizmów kontroli jakości danych, utrzymywanie katalogów danych oraz wykorzystanie narzędzi do orkiestracji, logowania i monitorowania., Stosowanie podejścia Test Driven Development (TDD) przy budowie potoków ETL/ELT., Wykorzystanie Git (oraz różnych strategii branchingowych) w ramach kontroli wersji.] Requirements: AWS S3, IAM, Redshift, Glue, AWS Lambda, CloudWatch, Databricks, Python, Java, SQL, Apache Spark, Jenkins, CloudFormation, SDLC, Terraform, Git, Docker, DSCS , DPTM



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