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We're seeking an experienced Data Engineer to help modernize and centralize enterprise data architecture, enabling scalable analytics and AI applications. This on-site role collaborates closely with business and technology teams to unify data from platforms such as Microsoft Dynamics 365, Adobe Experience Platform, and Power BI—transforming fragmented data sources into a cohesive, AI-ready foundation.
Job Responsibility:
Design and implement a centralized, scalable data model using medallion/Lakehouse architecture
Build and optimize data pipelines using Azure SQL DB, PostgreSQL, Microsoft Fabric, and Kafka
Integrate and manage data from diverse systems including D365, Adobe Experience Platform, and API-based sources
Ensure data quality, governance, and compliance across the lifecycle
Develop reusable, production-ready data assets for analytics and AI/ML workloads
Requirements:
5+ years of experience in data engineering or similar roles
Strong knowledge of Azure data services, Power BI, and modern data modeling
Proficiency in SQL, Python, or PySpark
Experience with real-time data ingestion and AI/ML data preparation
Excellent communication and collaboration skills
Must be able to work flexible hours, including evenings, weekends, and holidays as needed
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