Data Engineer - .Net

TechDigital Group

Pleasanton (CA)

On-site

USD 120,000 - 150,000

Full time

14 days+

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Job summary

TechDigital Group in Pleasanton, CA, seeks a skilled engineer proficient in Azure Data Factory, Azure Analysis Services, and .NET to drive development and production support within an Agile team.

You will handle incident management, contribute to a knowledge base, implement minor enhancements, write clean code, and participate in sprint planning and retrospectives. This role includes alternating weekdays and PST weekend production support shifts.

Qualifications

  • Experience with Azure Data Factory and Azure Analysis Services.
  • Proficient in .NET development.
  • Experience in production support and incident management.

Responsibilities

  • Incident management - troubleshoot production incidents, perform root cause analysis and execute resolution steps.
  • Build a comprehensive KEDB for recurring and unique incidents and guide offshore team to build competency on incident management.
  • Work on minor enhancements development stories.
  • Write clean, maintainable, and efficient code following best practices.
  • Work in an Agile environment and contribute to sprint planning and retrospectives.

Skills

Azure Data Factory
Azure Analysis Services
.NET

Job description

Mandatory skill: ADF, AAS, .Net

We are seeking a highly skilled engineer skilled in these technologies - Azure Data Factory, Azure Analysis Service & .NET

Candidate should be willing to work in both support (weekdays and weekend support during PST hours) and development ecosystem involving production support shifts.

Key Responsibilities
  • Incident management - troubleshoot production incidents, perform root cause analysis and execute resolution steps
  • Build a comprehensive KEDB for recurring and unique incidents and guide offshore team to build competency on incident management
  • Work on minor enhancements development stories.
  • Write clean, maintainable, and efficient code following best practices.
  • Work in an Agile environment and contribute to sprint planning and retrospectives.
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