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About the role
Design and develop scalable data pipelines using Spark, Airflow, and dbt. Build and manage large-scale data lakes and warehouses for enterprise clients. Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and maintain complex SQL queries for data analysis and reporting. Ensure data quality and integrity by implementing data validation and testing procedures. Optimize data processing workflows for improved performance and efficiency. Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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