remote
Data Integration Engineer - Krispy Kreme
Implementation Engineer
Design and maintain robust data integration pipelines that connect B2B systems, enterprise applications, and cloud platforms, using SQL, Python, ETL tools, and AWS services while collaborating with business partners and developers.
About the role
Key Responsibilities
- Design, develop, and maintain scalable data integration pipelines across on‑premise and cloud environments.
- Implement ETL processes using Python and industry‑standard tools to extract, transform, and load data from diverse sources.
- Integrate B2B systems and enterprise applications via REST/SOAP APIs and messaging platforms.
- Collaborate with database administrators, application developers, and business stakeholders to define data requirements and ensure data quality.
- Monitor, troubleshoot, and optimize data flows, ensuring performance, reliability, and security.
Requirements
- Strong proficiency in SQL and relational database concepts.
- Hands‑on experience with Python for data manipulation and automation.
- Solid understanding of ETL design patterns and tools (e.g., Apache Airflow, Talend, Informatica).
- Experience deploying and managing data pipelines on AWS services such as S3, Redshift, or Glue.
- Familiarity with API integration, data formats (JSON, XML), and message queues.