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Data Engineer

2parse.it

On-site Contract Mid Level 3mo ago

About the role

About

For a major client based in Zurich we are looking for a Data Engineer for the Data Science Platform team within the cloud center of excellence in the application platform department.

Responsibilities

In this role, you are part of a cross-functional team and responsible for the following task's:

  • Designing, implementing, and consulting on public cloud data science services
  • Beeing part of an international team that envisions and implements the roadmap of a mature Azure cloud based Data Science Platform (DSP)
  • Support lifecycle of the DSP which is offered as a service towards internal stakeholders by supporting features from data ingestion to reporting
  • Developing its infrastructure closely collaborate with DSP Engineering team to support use cases and enhance DSP setup

Requirements

  • Master or Bachelor's degree in Computer science or similar
  • Min. 3 years of practical experience in a similar role
  • Multiple years of experience with building data pipelines and their infrastructure on public cloud services and platforms like Microsoft Azure (our primary cloud service provider) and/or Amazon Web Services, Google Cloud Platform
  • Experience in Hadoop and Spark based environments, especially Databricks
  • Strong software development skills with proficiency in data transformation languages (such as Python, SQL and Scala), infrastructure as code (IaC)
  • Knowledge of CICD and automation concepts to enhnance the maturity of DSP
  • proven knowledge of cloud foundation services (networking, security, storage and IAM), their operation and configuration options
  • customer focus
  • Open-minded and proactive learning and development attitude to work with highly motivated engineers
  • Fluent English (verbal and written) is required

Languages

  • Fluent English (verbal and written) is required

Location

  • Zürich

Start Date

  • Immediately

Employment Type

  • Temporary position

Skills

AzureAWSDatabricksGCPHadoopIaCPythonScalaSparkSQL

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