Job Description:

• Design, create, modify extract/transform/load (ETL) pipelines in Azure Data Factory ensuring efficient data flow from source to destination.
• Ensure data accuracy and data integrity throughout the ETL processes via data validation, cleansing, deduplication, and error handling to ensure reliable and usable data being ingested.
• Monitor the 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.
• Participate in data modeling, designing of the data structures and schema in the data warehouse to optimize query performance and align with business needs.
• Work closely with Business controlling, data engineers and IT teams to understand data requirements and deliver the data infrastructure that supports business goals.
• Provide technical support for ETL systems, troubleshooting issues and ensuring the continuous availability and reliability of data flows.
• Ensure proper documentation of data sources, ETL processes and data architecture.

Requirements:

• BA/BS or equivalent in Computer Science, Business Analytics, Information Systems or equivalent.
• At least 4 years of database experience in an enterprise production environment.
• Working experience on Azure cloud and with Azure Data Factory is a must, and Oracle cloud is a plus.
• Demonstrable proficiency in PL/SQL to write SQL scripts.
• Experience in data injection, cleansing and data modelling.
• Hands-on database administration skills on Oracle and PostgreSQL is a plus.
• Good analytical and troubleshooting skills.
• Proactive, self-motivated and able to work in a dynamic environment.