Data Engineer

Location: Remote

We’re seeking a Data Engineer to design and optimize data pipelines supporting our Supply Chain, Logistics, and Transportation operations. You’ll work with business and technical teams to integrate, transform, and deliver high-quality data for analytics and reporting.

• Build and maintain data pipelines using Keboola.

• Integrate and model data from multiple business systems.

• Ensure data accuracy, reliability, and scalable performance

• Collaborate with analysts and engineers to support analytics needs.

• Contribute to documentation, governance, and pipeline automation.

• 5 years of experience in data engineering or data integration.

• Hands-on with Keboola (1 year preferred) or strong experience with similar tools.

• Proficient in SQL and familiar with cloud data platforms such as Snowflake.

• Understanding of APIs, JSON, and data modeling.

• Experience using Azure DevOps Boards in a team-based Agile environment.

• Preferred: Experience in Supply Chain, Logistics, or Transportation; Python scripting; CI/CD and version control (Git); and Azure DevOps experience managing repositories, pipelines, and software releases.

Originally posted on Himalayas