This offer base language is Polish. Translate into English This translation is generic. Show original text
Możliwe lokalizacje
  • Białystok
  • Bydgoszcz
  • Częstochowa
  • Gdańsk
  • Gliwice
  • Katowice
  • Kielce
  • Kraków
  • Lublin
  • Łódź
  • Piła
  • Poznań
  • Rzeszów
  • Szczecin
  • Toruń
  • Warszawa
  • Wrocław
  • Praca zdalna
Technologie i narzędzia

Wymagane:

  • Azure/AWS/GCP
  • ETL
  • SQL
  • Python

Dodatkowe atuty:

  • Spark
  • Snowflake
  • Kafka
  • DataBricks

Chcesz rozwijać swoje kompetencje w technologiach chmurowych? Dołącz do naszej wyspecjalizowanej jednostki skupiającej ekspertów z dziedziny procesowania i analizy danych w ramach Centrum Kompetencyjnego Data & Analytics. Oferujemy również rozwój w obszarach Data Science, Big Data i Machine Learning.

Nie czekaj, aplikuj!

Twoje zadania

  • Budowa i projektowanie rozwiązań Data Lake i DWH
  • Tworzenie pipeline’ów ETL w celu pozyskiwania danych z różnych źródeł i przetwarzania ich w chmurze
  • Monitorowanie rozwiązań i proponowanie ulepszeń 
  • Zbieranie wymagań oraz proponowanie rozwiązań technologicznych 
  • Przygotowanie dokumentacji technicznej 
  • Ścisła współpraca z analitykami danych
  • Wsparcie dla mniej doświadczonych kolegów, dzielenie się wiedzą i najlepszymi praktykami

Twoje umiejętności
  • Min. 4 lata doświadczenia komercyjnego jako Data Engineer 
  • Bardzo dobra znajomość SQL i Python (mile widziana znajomość Spark)
  • Doświadczenie w budowaniu skalowalnych, działających w czasie rzeczywistym i wysokowydajnych rozwiązań typu Data Lake
  • Rozwijanie procesu ETL w różnych narzędziach (SSIS, ADF, IPC)
  • Znajomość rozwiązań chmurowych (Azure, AWS, GCP)
  • Doświadczenie w projektach związanych z migracją danych z on-premise do chmury (bazy danych: Oracle, PostgreSQL, MS SQL)
  • Umiejętność swobodnej komunikacji w języku angielskim

Nr oferty 240115-018MB

Possible locations
  • Bialystok
  • Bydgoszcz
  • Czestochowa
  • Gdansk
  • Gliwice
  • Katowice
  • Kielce
  • Cracow
  • Lublin
  • Lodz
  • Pila
  • Poznan
  • Rzeszow
  • Szczecin
  • Torun
  • Warsaw
  • Wroclaw
  • Remote work
Technologies & tools

Must have:

  • Azure/AWS/GCP
  • ETL
  • SQL
  • Python

Nice to have:

  • Spark
  • Snowflake
  • Kafka
  • DataBricks

Want to develop your expertise in cloud technologies? Join our specialized unit of data processing and analysis experts within the Data & Analytics Competence Center. We also offer development in the areas of Data Science, Big Data and Machine Learning.

Don't wait, apply!

Your role

  • Building and designing Data Lake and DWH solutions
  • Create ETL pipelines to acquire data from various sources and process it in the cloud
  • Monitoring solutions and proposing improvements
  • Gathering requirements and proposing technology solutions
  • Preparation of technical documentation
  • Working closely with data analysts
  • Supporting less experienced colleagues, sharing knowledge and best practices

Your skills
  • Min. 4 years of commercial experience as Data Engineer
  • Very good knowledge of SQL and Python (Spark knowledge welcome)
  • Experience in building scalable, real-time and high-performance Data Lake solutions
  • ETL process development in various tools (SSIS, ADF, IPC)
  • Familiarity with cloud solutions (Azure, AWS, GCP)
  • Experience in data migration projects from on-premise to cloud (databases: Oracle, PostgreSQL, MS SQL)
  • Ability to communicate freely in English

Job no. 240115-018MB

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