Lead Data Engineer (Spark)

Lead Data Engineer (Spark)

Addepto

Gdańsk +6 więcej
📊 Big Data
🐍 Python
Java
Scala
Spark
Cloudera
🤖 Airflow
Kafka
NiFi
🐳 Docker
🚢 Kubernetes
Cloud
☁️ AWS
📊 Data Governance
📊 Data Management

Podsumowanie

Position: Lead Data Engineer (Spark) in Poznań. Responsibilities include designing scalable data solutions, implementing data governance, and collaborating with Data Science. Requires 7+ years experience, strong programming skills, and fluent English.

Słowa kluczowe

Big DataPythonJavaScalaSparkClouderaAirflowKafkaNiFiDockerKubernetesCloudAWSData GovernanceData Management

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

7+ years of proven commercial experience in implementing, developing, or maintaining Big Data systems., Strong programming skills in Python or Java/Scala: writing a clean code, OOP design., Experience in designing and implementing data governance and data management processes., Familiarity with Big Data technologies like Spark, Cloudera, Airflow, Kafka, NiFi, Docker, Kubernetes, and Iceberg., Proven expertise in implementing and deploying solutions in cloud environments (with a preference for AWS)., Excellent understanding of dimensional data and data modeling techniques., Excellent communication skills and consulting experience with direct interaction with clients., Ability to work independently and take ownership of project deliverables., Master’s or Ph.D. in Computer Science, Data Science, Mathematics, Physics, or a related field., Fluent English (C1 level) is a must.

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
Opublikowana23 dni temu
Wygasaza 8 dni
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