Data Engineer – AI / ML Pipelines

Job Summary (List Format) :

• Develop backend services and APIs for Warehouse Management Systems (WMS).
• Build ETL / ELT pipelines using Azure Data Factory and Databricks.
• Implement CI / CD processes, instrumentation, and observability for applications.
• Prepare and manage datasets for AI / ML and predictive analytics initiatives.
• Ensure data quality through validation, anomaly detection, and lineage tracking.
• Utilize programming languages such as Python, C# / .NET, and Java for application development.
• Work with advanced SQL and distributed data systems.
• Leverage cloud platforms (Azure), Databricks, and orchestration tools.
• Design APIs and implement microservices architectures.
• Collaborate with data scientists, BI developers, and platform engineers to optimize data pipelines and applications.
• Preferred : Bachelor's degree in Computer Science or related field.
• Required : 8+ years of experience in software development or data engineering.
• Proficiency in Python, SQL, and C#.
• Familiarity with WMS / logistics systems.
• Preferred : Certifications in Azure or Data Engineering.
• Must be local to the area; hybrid work arrangement.
• No sponsorship available; contract-to-hire (CTH) role.