Senior Data Engineer

Summary

Senior Data Engineer responsible for architecting and maintaining scalable data pipelines using Azure Data Services, Azure Data Factory, Azure Synapse Analytics, and dbt in an on-site role in Ahmedabad.

Key Responsibilities

  • Architect, maintain, and optimize scalable data pipelines, leveraging Azure Data Services, Azure DevOps, and select AWS components.
  • Build and maintain pipelines in Azure Data Factory and/or Azure Synapse Analytics Pipelines.
  • Monitor pipeline health and costs using Azure Monitor, Log Analytics, and custom dashboards.
  • Assemble and manage large, complex datasets that meet functional and non-functional business requirements.
  • Implement and maintain data quality frameworks using tools such as dbt tests and monitoring solutions.
  • Collaborate with business intelligence analysts, data scientists and business stakeholders to understand requirements and deliver tailored solutions.
  • Develop and maintain technical documentation, workflows, and best practices to ensure knowledge sharing across teams.
  • Provide support for data-related incidents and participate in an on-call rotation when necessary.
  • Demonstrate willingness to explore and learn new technologies and tools as our data ecosystem evolves and show enthusiasm for adopting upcoming technologies

See also

Data Engineering jobs by country — openings, pay and top skills →

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