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• Bachelors degree in Computer Science, Computer Engineering, or related field.
• Minimum of 3 years of experience as a data engineer.
• Experience in designing and building ETL processes using Azure Data Factory.
• Expertise in developing and managing Spark jobs on Azure Data Bricks.
• Strong knowledge of Snowflake database schema design and management.
• Proficiency in Python scripting for data processing.
• Proficiency in SQL for creating and maintaining advanced queries.
• Proficiency in utilizing RESTful APIs.
• Expertise in sourcing data from databases, files, and RESTful APIs.
• Experience in implementing data quality and validation checks.
• Strong problem - solving skills and ability to troubleshoot data-related issues.
• Excellent communication skills and ability to work collaboratively with other teams.
• Strong attention to detail and commitment to data accuracy and completeness.
• Ability to work independently with minimal supervision.