Develop, design, and maintain data platform solutions.
Build complex data solutions in an Azure Cloud environment.
Maintain the Azure components and services.
Develop architecture changes using infrastructure as code.
Create data architectures diagrams for complex data modeling solutions.
Qualifications:
Bachelor’s degree in Computer Science, Data Analytics, Engineering, Mathematics, or Business.
2+ years in cloud architecture and data engineering
Overall experience must be within a 3-6 years’ range – (too many years’ experience are getting rejected)
Extensive experience implementing data storage solutions, managing, and developing data processing, and optimizing data solutions (Azure)
Expertise integrating, transforming, and consolidating data from structured and unstructured data systems suitable for analytics solutions.
Understanding of parallel processing and data architecture patterns.
Knowledgeable in data processing languages such as SQL, Python, or Spark.
Experience building secure data processing pipelines using Azure data services.
Preferred:
Proficient in Microsoft Azure Storage Explorer, Azure DevOps, Azure Data Factory, Azure Databricks, Azure Data Lake Gen 2, Azure DevOps, Unity Catalog and Git
Experience in coding languages primarily Python and Spark.