Python Job: Data Warehouse Architect

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Job Skills

Company

Scigility

Location

Zürich - Switzerland

Job type

Full-Time

Python Job Details

Scigility builds custom data services and products with a holistic offering that covers architecture, platform engineering, data engineering and implementation of ML applications.

Location

Zürich

Tasks

  • Responsible for architecting Data & AI solutions on cloud and/or on-premises
  • Creating the requirements analysis, the platform selection, design of the technical architecture, design of the application design and development, testing, and deployment of the proposed solutions
  • Implement security, encryption best practices for Data & AI environments
  • Assist analytical and engineering teams in the design and implementation of high performance systems with large volume data integration processes, storage, processing and provisioning
  • Technical Pre-Sales support
  • Organize and manage complex customer projects with agile methods (scrum master and project leader)
Requirements

  • Degree in Computer science or equivalent
  • Valid working permit
  • Hands-on experience with data & AI applications (e.g. Hadoop stack, Kafka, Databricks, Azure Synapse, GCP AutoML, etc.)
  • Firm understanding of major programming/scripting languages like Java, Linux, Python, Scala
  • Experience in designing solutions for large data warehouses with a good understanding of clusters and parallel architecture as well as high-scale or distributed RDBMS and/or knowledge on NoSQL platforms
  • Experience with public cloud stacks: Azure, AWS, GCP
  • Strong problem solving skills
  • Excellent written and verbal communication skills
  • Strong command of German and English
  • Ability to work in a dynamic environment, be comfortable with changing priorities and tight deadlines, managing your own workload with minimum supervision
Your Bonus Skills

  • Strong understanding of agile work frameworks such as SCRUM and/or SAFe
  • Strong team member skills and capable of solving complex problems in a team approach
  • Strong teaching and coaching skills
  • Understanding of machine learning theory and practice
  • Knowledge of container technologies (Docker, Kubernetes, OpenShift)
  • Experience with data catalogue, data governance and data lineage practices and tools
Benefits

Your Benefits

  • Annual IT budget and home office equipment of your choice
  • Flat company hierarchy, directly approaching colleagues is highly welcomed
  • Possibility to work remotely
  • Flexible working hours, high level of autonomy and individual responsibility
  • You can invest up to 20% in further education on company costs
  • Career framework with clear growth path
  • Transparent salary structures and compensation incl. performance bonus
SCIGILITY in a nutshell

  • A team of 20+ highly motivated engineers with diverse backgrounds
  • A motivated and friendly environment, everyone just a chat message away to collaborate anytime
  • High diversity and multiculturalism, equal opportunities
  • Monthly company all-hands meetings to foster a positive team culture
Interested to join us? Still undecided and want to chat with an engineer? We are happy to receive your online application or help you with any further questions
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