Azure Data Engineer at Tata Consultancy Services Seattle, WA
Tata Consultancy Services
Tata Consultancy Services is seeking an experienced Azure Data Engineer in Seattle, WA, with over 10 years of expertise in data pipeline development and Azure services. The role involves building and maintaining data infrastructures and collaborating with stakeholders on data transformation processes.
Job description
Requirements
• Expeience required: 10+ years
• Proficient in Python and PySpark
• Strong knowledge of SQL
• Experience in building and optimizing complex data pipelines in Azure
• Hand on experience on Azure Databricks
• Strong working knowledge on Azure components and services such as Storage Account, Azure Data Factory, Active Directory, Synapse, Key Vault, VMSS, Function apps, web apps, Log analytics workspace , Service principal, managed identity , ACR and container instances etc
• Should possesses knowledge about Azure networking services
• Knowledge on Azure infrastructure creation using ARM templates
• Well versed with GitLab and Azure DevOps
Oct 19, 2025
Azure Data Engineer at Tata Consultancy Service Limited Seattle, WA
Seattle, Washington
Full-time job
Tata Consultancy Service Limited is seeking an Azure Data Engineer in Seattle, WA, proficient in Python and Azure services. The role involves building and optimizing complex data pipelines and requires strong SQL knowledge.
Oct 15, 2025
Azure Data Engineer at Tata Consultancy Services Seattle, WA
Seattle, Washington
Full-time job
Tata Consultancy Services is seeking an experienced Azure Data Engineer in Seattle, WA, with over 10 years of expertise in data pipeline development and Azure services. The role involves building and maintaining data infrastructures and collaborating with stakeholders on data transformation processes.
Tata Consultancy Services
Tata Consultancy Services is seeking an experienced Azure Data Engineer in Seattle, WA, with over 10 years of expertise in data pipeline development and Azure services. The role involves building and maintaining data infrastructures and collaborating with stakeholders on data transformation processes.