Senior Data Engineer
Chevron Corporation (company site, opens in a new tab)6–8 yrsBengaluruOn-siteDirect career pageEst. 20–35 LPA
Posted 7h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain enterprise-scale data pipelines and platforms using Microsoft Azure services such as Azure Data Factory, Synapse Analytics, Microsoft Fabric, and Azure Data Lake.
- Build and optimize ETL/ELT frameworks for large-scale ingestion, transformation, and processing of structured and unstructured enterprise data from multiple sources including APIs, ServiceNow, and SAP.
- Ensure data quality, governance, security, and compliance while collaborating with business and analytics teams to enable reliable, scalable analytics and AI/ML use cases.
Minimum Requirements
- 6-8 years of experience in data engineering with expertise in Microsoft Azure ecosystem.
- Proficient in Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics/Microsoft Fabric, Azure SQL Database, and SQL data modeling.
- Hands-on experience with Python and/or Spark for data processing and automation, ETL/ELT design, and API integration.
- Work hours aligned to business needs with shifts either 8:00am to 5:00pm or 1:30pm to 10:30pm; Visa sponsorship not provided.
Ideal Candidate Profile
- Experienced with cloud-native, enterprise-scale data platforms, emphasizing scalable, secure, and governed data architectures.
- Demonstrates operational excellence in implementing automated, CI/CD-enabled data pipelines within Azure and DevOps environments.
- Familiarity with analytics and BI collaboration, and optionally with AI/ML, real-time streaming, or industrial/OT data domains.