This is a remote position.

Job Summary

We are seeking a skilledData Engineerto support enterprise AI and Generative AI initiatives by building scalable, secure, and AI-ready data platforms. The ideal candidate will have strong expertise inAzure Databricks, Snowflake, Python, and SQL, along with experience integrating modern Azure AI services into enterprise data ecosystems.

In this role, you will partner with Data Engineers, AI Engineers, Data Scientists, and business stakeholders to develop high-quality data pipelines, enable Retrieval-Augmented Generation (RAG) solutions, and prepare enterprise data for AI-powered applications using Microsoft's AI ecosystem.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines usingAzure Databricks, Snowflake, and Azure Data Factory.
• Build ELT/ETL pipelines to ingest data from ERP, CRM, manufacturing, supply chain, and other enterprise applications.
• Develop AI-ready datasets that support machine learning and Generative AI use cases.
• Integrate structured, semi-structured, and unstructured data into centralized data platforms.
• Support Retrieval-Augmented Generation (RAG) solutions by preparing document repositories, metadata, embeddings, and search indexes.
• Collaborate with AI Engineers to expose enterprise data securely to LLM-powered applications.
• Optimize data models, transformations, and query performance for analytics and AI workloads.
• Implement data quality, governance, lineage, monitoring, and security best practices.
• Build reusable data transformation frameworks using Python, SQL, Spark, and dbt (if applicable).
• Develop REST API integrations to support AI services and enterprise applications.
• Participate in architecture discussions, code reviews, CI/CD implementations, and Agile ceremonies.
• Support production deployments, monitoring, troubleshooting, and performance tuning.

Required Qualifications

• 6+ years of experience in Data Engineering.
• Strong hands-on experience withAzure DatabricksandSnowflake.
• Proficiency inPython,SQL, andPySpark.
• Experience building scalable ELT/ETL pipelines using Azure Data Factory or similar orchestration tools.