Data Engineer

vor 2 Wochen

Zürich, Zürich, Schweiz AARK Tech Solutions GmbH Vollzeit CHF 80'000 - CHF 120'000 pro Jahr

About the job

  • Role:
    Data Engineer
  • Location: Zurich, Switzerland (Hybrid: 3 days onsite, 2 days remote)
  • Type: Permanent
  • Start Date: Immediate
  • Language: English (Advanced); German Optional.
  • Years of experience: Min.
    Years

Open to Swiss and EU citizens

Job Description:

  • Datasets and data pipelines preparation, support for Business, data troubleshooting.
  • Closely collaborate with the Data & Analytics Program Management and stakeholders to co-design Enterprise Data Strategy and Common Data Model
  • Implementation and promotion of Data Platform, transformative data processes, and services
  • Develop data pipelines and structures for Data Scientists, testing such to ensure that they are fit for use
  • Maintain and model JSON based schemas and metadata to re-use it across the organization (with central tools)
  • Resolving and troubleshooting data related issues and queries
  • Covering all processes from enterprise reporting to data science (incl. ML Ops)

Experience:

  • Hands-on Big Data experience using common open source components (S3, Hive, Spark, Trino, MinIO, K8S, Kafka)
  • Experience in stakeholder management in heterogeneous business/technology organizations
  • Experience in banking or financial business, with handling sensitive data across regions
  • Experience in large data migration projects with on-prem Data Lakes
  • Hands-on experience in integrating Data Science Workbench platforms (e.g. Knime, Cloudera, Dataiku)
  • Track record in Agile project management and methods (e.g., Scrum, SAFe).

Skills

  • Knowledge of reference architectures, especially concerning integrated, data-driven landscapes and solutions
  • Expert SQL skills, preferably in mixed environments (i.e. classic DWH and distributed)
  • Working automation and troubleshooting experience in Python using Jupyter Notebooks or common IDEs
  • Data preparation for reporting/analytics and visualization tools (e.g Tableau, Power BI or Python based)
  • Applying a data quality framework within the architecture
  • Good knowledge of German is beneficial, excellent command of English is essential
  • Higher education (e.g. "Fachhochschule","Wirtschaftsinformatik")

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