Data Engineer – Azure (f/m/d)

München, Bayern  ‐ Remote
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Beschreibung

For our client, an IT company, we are looking for a Data Engineer – Azure (f/m/d) on a freelance basis (all genders)

Project start: 01.02.2021
Project duration: 30.04.2021 (with the possibility to extend until the end of 2021)
Volume: 3-4 days a week
Location: 100% remote
Project language: English (German is a plus)

A team working with the central Data Science & BI department of a long-term client needs support in the area of Data & Cloud Engineering.

Tasks:
• Develop data models and application designs for data science and BI use cases
• Design and implement data pipelines for data science and BI use cases in Python and/or Scala using Apache Spark and/or SQL
• Support the team of data scientists and engineers in selecting and using Azure services like DevOps, Pipelines, Blob, Data Factory, Container Instances, or ML Studio
• Promote good software/data engineering practices (testing, code review, CI/CD, etc.)

Skills:
• Very comfortable with software development fundamentals: Git, code review, testing
• Experience writing production software in Python, Scala, or Java
• Knowledgable about data modeling, data storage, and data access techniques
• Cloud computing in Azure (e.g., experience with Blob, DevOps, Pipelines, Data Factory, Container Instances, ML Studio)
• Continuous Integration / Delivery, e.g., with Azure Pipelines, Gitlab, GitHub Actions, or Jenkins
• Experience with distributed systems, e.g., Apache Spark
• Advanced database experience including authoring SQL queries, designing tables and schemata, and weighing the trade-offs between database technologies

If you are interested in this project, we would be pleased to receive your updated CV, availability and your hourly rate expectations.

Please feel free to contact me if you have any questions.

Aldona Królikowska
Resource Consultant
Harvey Nash GmbH

Phone:
Email:
Start
ab sofort
Dauer
2 Monate
(Verlängerung möglich)
Von
Harvey Nash GmbH
Eingestellt
15.01.2021
Ansprechpartner:
Frank Pfitzer
Projekt-ID:
2029444
Vertragsart
Freiberuflich
Einsatzart
100 % Remote
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