Senior Data Engineer (Spark)

Senior Data Engineer (Spark)

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Gdańsk +6 więcej
Senior Data Engineer
Spark
📊 Big Data
🐍 Python
Java
Scala
☁️ AWS
🤖 Airflow
Iceberg
🐳 Docker
Kafka
🧠 MLOps
Kubeflow
🧠 MLFlow
📊 Databricks
dbt

Podsumowanie

Senior Data Engineer (Spark) – develop & maintain high‑performance automotive data platform, design streaming/batch pipelines, optimize workflows with Spark, Airflow, Iceberg, use AWS, write Python/Java/Scala code. Requires 5+ years Big Data experience, strong Python/Java/Scala skills, Spark, Kafka, Docker, cloud deployment, consulting & client communication, English C1, Bachelor’s, MLOps (Kubeflow/MLFlow). Benefits include medical care, glasses reimbursement, sports & language class subsidies, training funds, flexible hours, remote work options, fruits, events, no dress code, games, birthday celebration, referral program.

Słowa kluczowe

Senior Data EngineerSparkBig DataPythonJavaScalaAWSAirflowIcebergDockerKafkaMLOpsKubeflowMLFlowDatabricksdbt

Benefity

  • Zwrot kosztów okularów korekcyjnych lub soczewek kontaktowych
  • Pokrycie kosztów sportowych
  • Prywatna opieka medyczna
  • Pokrycie kosztów kursów językowych
  • Pokrycie kosztów szkoleń i kursów zawodowych
  • Możliwość pracy zdalnej
  • Elastyczny czas pracy
  • Owoce
  • Imprezy integracyjne
  • Brak dress code
  • Gry wideo w pracy
  • Celebracja urodzin
  • Program poleceń pracowniczych

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

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Wyświetlenia: 1
Opublikowana18 dni temu
Wygasaza 12 dni
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