
Chief Data Architect
2 weeks ago
Key Data Engineering Role:
A highly skilled data engineer is needed to design, implement and maintain large-scale data platforms on Microsoft Azure. This role will involve working with cross-functional teams to ensure seamless integration of data engineering solutions with business applications.
Core Responsibilities:
- Designing scalable data architectures on Azure
- Developing and maintaining ETL processes using Azure services such as Databricks, Data Factory, and Synapse Analytics
- Collaborating with data scientists to design and implement machine learning models on Azure
- Monitoring and optimizing data platform performance for high availability and scalability
Requirements:
- At least 7 years of experience in data engineering with a strong background in cloud computing and Microsoft Azure
- Proficiency in programming languages such as Python, Java or C#
- Experience with Azure services including Databricks, Data Factory, and Synapse Analytics
- Strong understanding of data architecture, warehousing and big data technologies
- Excellent communication and collaboration skills
Preferred Qualifications:
- Junior data engineer with at least 5 years of experience
- Knowledge of DevOps practices and tools such as Jenkins, Docker and Kubernetes
- Experience with data science and machine learning frameworks such as TensorFlow, PyTorch or Scikit-learn
About the Company:
As a leading provider of data engineering solutions on Microsoft Azure, we help our clients design and implement scalable data platforms that drive business growth and innovation.
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