
Cloud Data Engineering Expertise
2 days ago
Data Engineers with Azure expertise shape the future of pharmaceutical supply chains by leveraging cutting-edge technology to transform data into actionable insights.
We seek a seasoned professional with 5+ years of experience in designing, building, and maintaining scalable data pipelines using Azure Data Factory, Synapse Analytics, and Data Lake Storage.
- Lead the integration strategy for ingesting and harmonizing data from external sources, including AWS-based data lakes/warehouses (such as S3, Redshift) and SAP systems
- Automate ETL processes for data extraction, transformation, and loading across hybrid and multi-cloud environments
The ideal candidate will have strong knowledge of database technologies, programming languages, and version control systems, with hands-on experience with SAP data models and integrating SAP data with Azure data lake.
Key Responsibilities:
Data Integration & Pipeline Development- Design, build, and maintain real-time and batch data integration workflows between Azure, AWS, and on-premises sources
- Implement robust data validation, cleansing, and monitoring systems to ensure accuracy and reliability
- Define and enforce data governance frameworks: data cataloging, lineage, quality, privacy, and compliance
- Develop data automation tools and reusable components using Python, PySpark (and other relevant frameworks/languages)
- Partner with supply chain, analytics, and business stakeholders to understand business requirements and translate them into scalable technical solutions
- Collaborate with SAP functional and technical teams to optimize data extraction and synchronization
Required Technical Qualifications:
- 5+ years of professional data engineering experience
- Expert-level knowledge of Azure Data Services, including Data Factory, Synapse Analytics, and Data Lake Storage
- Strong knowledge of database technologies, programming languages, and version control systems
Preferred Technical Skills:
- Experience with API-based data integration for cloud and enterprise applications
- Knowledge of containerization (Docker, Kubernetes) for data automation workflows
Benefits:
- Competitive salary commensurate with experience
- Professional development training and certifications
Work Environment:
- Remote work arrangement with flexible hours
- State-of-the-art technology and tools
Please submit your resume and a cover letter highlighting your experience in Azure, AWS data integration, and SAP data extraction, as well as examples of data automation tools or frameworks you have developed.
Join us to unlock new possibilities in pharmaceutical supply chain data through advanced engineering and multi-cloud innovation.
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