
Cloud Integration Specialist
2 days ago
Cloud Integration Data Engineer Role
- Key Responsibilities:
Design and Implement Scalable Data Solutions:
- Develop data pipelines using Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake to ensure scalable and efficient data processing.
- 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.
- 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.
Collaborate with Stakeholders:
- Partner with data scientists and analysts to support advanced analytics and business intelligence initiatives.
- Collaborate with supply chain, analytics, and business stakeholders to understand business requirements and translate them into scalable technical solutions.
Develop Skills in Cloud Integration:
- Develop expertise in cloud integration tools and technologies, including Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake.
- Stay up-to-date with industry trends and emerging technologies in cloud integration and data governance.
Establish Governance Frameworks:
- Establish data governance frameworks and ensure data quality across all pipelines.
- Implement security best practices for handling sensitive pharmaceutical data.
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