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The Senior Data Integration Engineer is responsible for integrating customer data into the cloud platform. This role ensures data is accurate, consistent, and delivered in a format that supports analytics and reporting. You will collaborate closely with customer IT teams, internal engineering, and customer success teams to enable successful data onboarding and ongoing pipeline performance.
This role is ideal for a data-driven professional who enjoys solving complex data challenges and working in a fast-paced deployment environment.
Perform initial data integrations for new customers and maintain ongoing extraction and transformation processes
Build and manage ETL/ELT workflows to extract, transform, and load data into databases or data lakes
Integrate data from APIs, ERPs, databases, web services, and third-party systems
Automate workflows and optimize existing data processes for performance and scalability
Ensure data quality by identifying and resolving inconsistencies, errors, and gaps
Act as the primary technical point of contact for assigned customers
Analyze customer data to support inventory reduction and shortage prevention goals
Collaborate with Engineering and Customer Success teams to support data pipeline operations
Proficiency in Python, Java, or SQL
Strong experience with relational and NoSQL databases
Experience with cloud data infrastructure (AWS or Azure)
Strong data transformation and pipeline engineering expertise
Ability to work cross-functionally with engineering, product, and customer success teams
Strong analytical mindset and problem-solving skills
Ability to communicate technical concepts to non-technical stakeholders
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field
Experience in data engineering, data integration, or similar role
Advanced SQL skills
Experience working with ERP or enterprise business systems
Strong understanding of data modeling and design principles
Ability to learn new systems and business processes quickly
Knowledge of supply chain or manufacturing processes
Familiarity with DevOps practices and CI/CD pipelines
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