Senior Data Engineer (Spark)

Senior Data Engineer (Spark)

Addepto

Gdańsk +6 więcej
📊 Big Data
🐍 Python
Java
Scala
Spark
Cloudera
Kafka
🤖 Airflow
🐳 Docker
🧠 MLOps
Cloud

Podsumowanie

Senior Data Engineer (Spark) develops high-performance data processing platforms, requiring expertise in Big Data technologies and strong programming skills in Python or Java/Scala. Benefits include private medical care and flexible working time.

Słowa kluczowe

Big DataPythonJavaScalaSparkClouderaKafkaAirflowDockerMLOpsCloud

Benefity

  • Reimbursement for prescription glasses or contact lenses
  • Sharing the costs of sports activities
  • Private medical care
  • Sharing the costs of foreign language classes
  • Sharing the costs of professional training & courses
  • Remote work opportunities
  • Flexible working time
  • Fruits
  • Integration events
  • No dress code
  • Video games at work
  • Birthday celebration
  • Employee referral program

Opis stanowiska

Wymagania

At least 5 years of commercial experience implementing, developing, or maintaining Big Data systems, data governance and data management processes., Strong programming skills in Python (or Java/Scala): writing a clean code, OOP design., Hands-on with Big Data technologies like Spark, Cloudera, Kafka, Data Platform, Airflow, NiFi, Docker, and Iceberg., Excellent understanding of dimensional data and data modeling techniques., Experience implementing and deploying solutions in cloud environments., Consulting experience with excellent communication and client management skills, including prior experience directly interacting with clients as a consultant., Ability to work independently and take ownership of project deliverables., Fluent English (at least C1 level)., Bachelor’s degree in technical or mathematical studies., Experience with an MLOps framework such as Kubeflow or MLFlow., Familiarity with Databricks and/or dbt.

Benefity

Reimbursement for prescription glasses or contact lenses, sharing the costs of sports activities, private medical care, sharing the costs of foreign language classes, sharing the costs of professional training & courses, remote work opportunities, flexible working time, fruits, integration events, no dress code, video games at work, birthday celebration, employee referral program

Zaloguj się, aby zobaczyć pełny opis oferty

Wyświetlenia: 1
Opublikowanaokoło 3 godziny temu
Wygasaza około miesiąc
Źródło
Logo
Logo

Podobne oferty, które mogą Cię zainteresować

Na podstawie "Senior Data Engineer (Spark)"

Nie znaleziono ofert, spróbuj zmienić kryteria wyszukiwania.