Quality and Consistency Implement robust data validation processes to maintain high-quality data. Establish retention guidelines. Regularly monitor data sources and processing environments, resolving inconsistencies Azure DevOps. Experience with large-scale data processing using Apache Spark. Knowledge of GCP and AWS
tools and frameworks to automate the data transformation process Develop data quality checks to ensure the efficiency and effectiveness of the data engineering processes Requirements: Bachelor's degree in Computer
You will develop algorithms and manage data warehouse processes, visualization, and reporting using application deliver a data architecture that supports future business growth and streamlines processes. As a Data
You will develop algorithms and manage data warehouse processes, visualization, and reporting using application deliver a data architecture that supports future business growth and streamlines processes. As a Data
candidates contacted due to volume. Privacy: Data processed as per Privacy Policy. By applying, you agree
candidates contacted due to volume. Privacy: Data processed as per Privacy Policy. By applying, you agree
pipelines Deliver to all stages of the data engineering process Data ingestion, transformation, data modelling particular Azure Data Lake Gen2 Experience in building robust and performant ETL processes Building and maintain
Prepare project updates/reports as required Data and process management • Check and cleanse data to ensure
candidates contacted due to volume. Privacy: Data processed as per Privacy Policy. By applying, you agree
candidates contacted due to volume. Privacy: Data processed as per Privacy Policy. By applying, you agree