
Data Architect
4 weeks ago
Role Summary:
The selected candidate will be responsible for designing, developing, and maintaining data pipelines and infrastructure using Microsoft Azure Data, with a strong focus on Azure Synapse Analytics and Spark Data Pools.
Key Responsibilities:
- Data Pipeline Development: Build and manage end-to-end data pipelines using Azure Data Factory, Synapse Analytics, and other Azure services.
- Spark Data Pools: Leverage Spark within Azure Synapse for large-scale data processing in a distributed setup.
- Data Integration: Integrate structured and semi-structured data from various sources into a centralized data lake or warehouse.
- Data Modelling: Work with data architects to create efficient models supporting business analytics and reporting.
- Performance Optimization: Monitor and optimize performance of data pipelines, especially in Spark-based environments.
- Azure Synapse Analytics: Design complex data integration and analytics solutions using Azure Synapse.
Technical Skills Required:
- Python Programming, SQL, PySpark
- Strong hands-on experience with Azure Synapse Analytics, Azure Data Factory, and Spark Data Pools
NOTE :We are currently hiring for the role of Data Architect. We are looking for candidates who can join immediately or within 30 days (maximum). Candidates who can buy back their notice period will be preferred for this urgent requirement.
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