Senior Data Integration Engineer
October 15
Description
• Perform initial data integration with new customers, and maintain the data extraction and transformation processes. • Build and maintain processes to extract data from various sources, transform it into a usable format, and load it into databases / data lakes. • Automate workflows and improve existing processes for better performance and efficiency. • Integrate data from systems such as APIs, databases, ERPs web services, third-party platforms, and more. • Manage data quality by identifying and resolving data issues, ensuring consistency, completeness, and accuracy. • Act as the primary technical point of contact for a group of customers. • Analyze customer data to ensure accuracy and to help the customer achieve their goals (inventory reduction, shortage prevention).
Requirements
• Proficiency in languages like Python, Java or SQL. • Experience with relational and NoSQL databases. • Experience with cloud data infrastructure on AWS or Azure. • Collaborate effectively with cross-functional teams, including software engineers, customer success and product managers. • Continuously monitor and improve the data pipeline to ensure efficiency and reusability.
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