Senior Big Data Architect
3 weeks ago
About the Role
Cynosure Corporate Solutions is seeking a highly skilled Senior Big Data Architect to lead the design and development of our big data technologies, leveraging expertise in Azure, AWS, or GCP. The ideal candidate will have a strong background in PySpark, with a minimum of 6 years of experience and a preference for Azure and Databricks. Additionally, the candidate should be proficient in Python, SQL, and data visualization tools like PowerBI. Excellent communication and problem-solving skills are essential for success in this role.
Key Responsibilities
- Design, develop, and implement big data technologies such as Azure Data Warehouse, Azure Data Lake, and Data Bricks.
- Lead the development of high-performance data ingestion pipelines using PySpark and Azure DevOps.
- Collaborate with cross-functional teams to ensure effective data visualization and reporting using PowerBI.
- Ensure data quality and integrity through querying and manipulating data from various databases.
- Develop and maintain unit and integration tests for data pipelines.
Requirements
- PySpark, Azure Data Warehouse, Azure Data Lake, Data Bricks, Python, Azure Data Factory, Azure SQL DW, and Azure DevOps.
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