Data Integration Specialist

Responsibilities

• Work closely with stakeholders to identify data sources, perform mappings, and define transformations for integration into target systems.
• Design and implement end-to-end ETL solutions, ensuring data accuracy, scalability, and efficiency.
• Develop and optimize Python & PySpark scripts for data provisioning, storage, and processing.
• Leverage multiple ETL tools (SSIS, Nifi, etc.) to handle data velocity, variety, veracity, and volume.
• Ensure seamless data integration across supply chain software and other business-critical systems.

Basic Qualifications

• Extensive experience in Python, PySpark, SQL, SSIS, and Nifi tools.
• Strong background in Data Integration & ETL, with hands-on experience using multiple tools.
• Ability to design scalable solutions for high-volume data processing.
• Prior experience with supply chain software as a source/target system is a plus.

Preferred Qualifications

• Strong ability to lead by example and demonstrate proficiency in both product and domain.
• Patient listener with the ability to clearly articulate your view point to manage and deliver to customer expectations, even under pressure
• Ability to analyze and process large amounts of data and complement it with intuition to prioritize and focus on the highest value opportunities or the biggest risks is key.

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