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Lead Data Engineer

5-8 Years
12 - 15 LPA
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Job Description

Key Skills: Shell Scripting, OpenShift, Python, Data Governance, Metadata, CICD, GitHub, Kubernetes, SQL

Roles and Responsibilities:

  • Design, deploy, and manage containerized applications using OpenShift and Kubernetes.
  • Implement CI/CD pipelines leveraging GitHub Actions and related tools to ensure automated and reliable deployments.
  • Conduct metadata management, classification scans, and data governance activities to ensure compliance and data security.
  • Optimize database performance and ensure data integrity across multiple platforms.
  • Collaborate with cross-functional teams to align data strategies with organizational objectives.
  • Ensure adherence to healthcare data regulations (HIPAA, HITRUST) and integrate best practices into solutions.
  • Stay updated on emerging technologies, containerization practices, and data governance frameworks.
  • Mentor junior engineers and analysts to strengthen team capability and adherence to standards.

Skills Required:

  • 5 - 8 years of Data Engineering experience.
  • 6 - 7 years of hands-on experience with OpenShift, Kubernetes, Docker, and GitHub CI/CD workflows.
  • 6 - 7 years of experience with Unix scripting.
  • Minimum 2 years of experience in metadata management and data classification across structured and unstructured data.
  • 6 - 7 years of experience working with relational and/or NoSQL databases (Oracle, SQL Server, PostgreSQL, MongoDB).
  • Exposure to healthcare domain standards, compliance, and data governance practices.
  • Strong understanding of cloud-native architectures, containerization, and orchestration.
  • Excellent problem-solving, communication, and Agile team collaboration skills.

Education:Bachelor's Degree in related field

Master of Science (MS/M.Sc), Bachelor Of Technology (B.Tech/B.E), Masters in Technology (M.Tech/M.E), Master in Computer Application (M.C.A)

More Info

Job Type:
Function:
Employment Type:
Open to candidates from:
Indian

Job ID: 146109249

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