Senior Data Engineer

About this role

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Skills you'll use

What you'll do

• Design, develop, and maintain enterprise data pipelines using Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric, and Azure Data Lake.
• Build scalable ETL/ELT frameworks to ingest, transform, and process structured and unstructured data from multiple enterprise sources.
• Develop and optimize data models for enterprise reporting, analytics, and AI/ML use cases.
• Integrate data from APIs, databases, cloud platforms, and enterprise applications such as ServiceNow, SAP, and other business systems.
• Ensure data quality, lineage, governance, security, and compliance across the data platform.
• Implement performance tuning and optimization for large-scale datasets and data processing workloads.
• Collaborate with business, analytics, and engineering teams to design reliable and scalable data solutions.
• Support DevOps and CI/CD practices for data platform deployment and lifecycle management.

Who can apply

• in designing, developing, and maintaining enterprise-scale data platforms leveraging the Microsoft Azure ecosystem. The role requires expertise in data integration, data transformation, cloud-native data architectures, and data governance to enable reliable, secure, and scalable analytics solutions across the enterprise.
• Experience with visualization and reporting tools such as Power BI is preferred at a familiarity level to support collaboration with analytics and business intelligence teams.

About Chevron

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