Data Engineer (Databricks)

Data Engineer (Databricks)

Addepto

Poznań +5 więcej
📊 Big Data systems
🐍 Python
📊 Data governance
📊 Data management
☁️ Azure
Power BI
📊 Databricks
🤖 Airflow
🧠 MLOps
📊 Data visualization

Podsumowanie

Addepto is seeking a Data Engineer to design scalable data processing pipelines, develop applications, and collaborate on Machine Learning projects. Requires 3+ years experience, strong Python skills, and Big Data technology familiarity. Benefits include remote work and flexible hours.

Słowa kluczowe

Big Data systemsPythonData governanceData managementAzurePower BIDatabricksAirflowMLOpsData visualization

Benefity

  • Reimbursement for prescription glasses or contact lenses
  • Sharing the costs of sports activities
  • Private medical care
  • Foreign language classes cost sharing
  • Professional training & courses cost sharing
  • Remote work opportunities
  • Flexible working time
  • Fruits
  • Integration events
  • No dress code
  • Video games at work
  • Coffee / tea
  • Drinks
  • Christmas gifts
  • Birthday celebration
  • Employee referral program

Opis stanowiska

Wymagania

At least 3 years of commercial experience implementing, developing, or maintaining Big Data systems., Strong programming skills in Python: writing a clean code, OOP design., Experience in designing and implementing data governance and data management processes., Familiarity with Big Data technologies like Airflow or Dagster, Databricks, Spark, Azure Event Hub or Kafka., Experience implementing and deploying solutions in cloud environments (with a preference for Azure)., Knowledge of how to build and deploy Power BI reports and dashboards for data visualization., 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.

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, coffee / tea, drinks, christmas gifts, birthday celebration, employee referral program

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Wyświetlenia: 2
Opublikowanaokoło 4 godziny temu
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