
Data Scientist Job Opportunity
2 weeks ago
As a Cloud Data Architect, you will be responsible for designing and building robust, scalable data platforms using various Azure services. Your role involves delivering raw data into analytics-ready assets and supporting a secure, efficient data environment.
Key Responsibilities:
- Designing and implementing data pipelines to ingest, transform, and load data from various sources into the Azure data platform.
- Developing and implementing conceptual, logical, and physical data models for data warehouses and data lakes.
- Managing data storage and organization within Azure Data Lake Storage Gen2.
- Utilizing tools like dbt (data build tool) within the Azure ecosystem to transform raw data into analytics-ready datasets.
- Integrating and working with a variety of Azure services, including Azure Synapse Analytics, Azure Databricks, Azure Functions, and Cosmos DB, to build a comprehensive data solution.
- Implementing and optimizing Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) processes to ensure data is moved efficiently and accurately.
- Implementing and maintaining data security best practices, applying Role-Based Access Control (RBAC), managed identities, and Azure Key Vault to protect sensitive data.
Required Skills and Qualifications:
- 4+ years of experience with key Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure Databricks.
- Strong proficiency in SQL and at least one programming language such as Python or Spark (PySpark, Scala).
- Solid understanding of data warehousing principles, data modeling (dimensional modeling, etc.), and ETL/ELT concepts.
- CI/CD: Experience with version control systems like Git and Continuous Integration/Continuous Deployment (CI/CD) practices using Azure DevOps.
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