Infosys - Raleigh, NC

posted 4 months ago

Full-time - Mid Level
Raleigh, NC
Professional, Scientific, and Technical Services

About the position

Infosys is seeking an Azure Data Engineer to work directly with clients and lead critical modules in the Data Engineering program. This role encompasses various responsibilities including metadata management, data cataloging, data quality assurance, process and workflow definition and implementation, reporting, and delivery. As part of a learning culture, the position encourages teamwork and collaboration, rewards excellence, and values diversity. The project location is in Raleigh, NC, and candidates must be located within commuting distance or be willing to relocate. The role requires working in PST business hours. The ideal candidate will have a Bachelor's degree or a foreign equivalent from an accredited institution, or three years of progressive experience in the specialty in lieu of every year of education. A minimum of four years of experience in Information Technology is required, along with at least four years of experience in designing, implementing, and maintaining robust and scalable data pipelines on Azure. Familiarity with Azure services such as Azure Databricks, Azure Data Factory, Azure SQL, Azure Analysis Services, and Azure Synapse is essential. Additionally, candidates should have at least two years of experience in data platforms with a multi-layered approach and some knowledge of design and architecture. Experience in troubleshooting performance issues and applying fixes is also necessary, along with a basic understanding of SQL. Candidates should possess the ability to implement and manage CI/CD pipelines for data engineering projects, utilizing tools like Azure DevOps. U.S. citizens and those authorized to work in the U.S. are encouraged to apply, as the company is unable to sponsor at this time.

Responsibilities

  • Lead critical modules in Data Engineering program including metadata management, data catalog, data quality, process/workflow definition implementation, reporting, and delivery.
  • Design, implement, and maintain robust and scalable data pipelines on Azure.
  • Troubleshoot performance issues, identify root causes, and apply fixes.
  • Implement and manage CI/CD pipelines for data engineering projects using Azure DevOps.

Requirements

  • Bachelor's degree or foreign equivalent from an accredited institution, or three years of progressive experience in the specialty in lieu of every year of education.
  • At least 4 years of experience in Information Technology.
  • At least 4 years of experience in designing, implementing, and maintaining data pipelines on Azure using services such as Azure Databricks, Azure Data Factory, Azure SQL, Azure Analysis Services, and Azure Synapse.
  • At least 2 years of experience in data platforms with a multi-layered approach and some knowledge of design/architecture.
  • At least 2 years of experience in troubleshooting performance issues and applying fixes.
  • At least 3 years of experience in basic SQL.

Nice-to-haves

  • Hands-on experience in programming languages such as Python, Pyspark, or Scala.
  • Familiarity with data modeling and ETL tools such as Erwin, Talend, or DataStage.
  • Ability to lead large complex projects with limited direction.

Benefits

  • Medical/Dental/Vision/Life Insurance
  • Long-term/Short-term Disability
  • Health and Dependent Care Reimbursement Accounts
  • Insurance (Accident, Critical Illness, Hospital Indemnity, Legal)
  • 401(k) plan and contributions dependent on salary level
  • Paid holidays plus Paid Time Off
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