Public Cloud Data Scientist
Vor 4 Tagen
At 2parse, we value innovation and collaboration. Our team consists of experienced professionals who share a passion for technology and data science.
We are looking for a talented Data Engineer to join our team and contribute to the success of our Data Science Platform project.
The ideal candidate will have a strong background in data engineering and experience with designing and implementing public cloud data science services.
The selected candidate will be responsible for developing the infrastructure of the DSP, supporting the lifecycle of the DSP, and collaborating with the DSP Engineering team to support use cases and enhance DSP setup.
- Main Responsibilities:
- Designing and implementing public cloud data science services
- Developing the infrastructure of the DSP
- Sponsoring the lifecycle of the DSP
- Collaborating with the DSP Engineering team
Requirements:
- Masters or Bachelors degree in Computer Science or similar
- Minimum 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 CI/CD and automation concepts to enhance 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
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