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Data Transformation Specialist
1 month ago
Job Summary:
The ETL Engineer will be responsible for designing, creating, and modifying extract/transform/load (ETL) pipelines in Azure Data Factory to ensure efficient data flow from source to destination. The successful candidate will have experience in database administration, data modeling, and data integration.
Key Responsibilities:
• Design and develop ETL pipelines using Azure Data Factory to extract, transform, and load data from various sources.
• Ensure data accuracy and integrity throughout the ETL process by implementing data validation, cleansing, deduplication, and error handling.
• Monitor ETL processes and optimize ETL pipelines for speed and efficiency, addressing bottlenecks and ensuring the ETL system can handle the volume, velocity, and variety of data.
• Collaborate with the IT team to understand data requirements and deliver data infrastructure that supports business goals.
• Provide technical support for ETL systems, troubleshooting issues, and ensuring the continuous availability and reliability of data flows.
Requirements:
• 4-6 years of database experience in an enterprise production environment.
• Working experience on Azure cloud and with Azure Data Factory and Oracle Cloud is a must, Snowflake would be an advantage.
• Demonstrable proficiency in PL/SQL to write SQL scripts.
• Experience in data injection, cleansing, and data modeling.
• Hands-on database administration skills on Oracle and PostgreSQL would be an advantage.
• Good analytical and troubleshooting skills.
• Curious, proactive, self-motivated, and able to work in a dynamic environment.
• Good spoken and written communication skills in English to communicate with English-speaking users.