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Infosys

Databricks Administrator

Infosys

Pune, Maharashtra, India · ਪੂਰਾ ਸਮਾਂ

1 ਬਿਨੈਕਾਰ

ਅਨੁਭਵ
3-5 ਸਾਲ
ਤਨਖਾਹ
ਖੁੱਲ੍ਹਣ ਵਾਲੀਆਂ ਥਾਵਾਂ
1
ਪੋਸਟ ਕੀਤਾ ਗਿਆ
3 ਘੰਟੇ
ਕੰਮ ਮੋਡ
ਦਫ਼ਤਰ ਵਿੱਚ
ਸਿੱਖਿਆ
B.Tech/B.E., B.C.A., B.Sc
ਯੋਗਤਾ
Candidates with a B.Tech/B.E. in any specialization, B.C.A. in any specialization, or B.Sc. in any specialization may apply.
ਰੈਜ਼ਿਊਮੇ
ਅਰਜ਼ੀ ਦੇਣ ਲਈ ਲੋੜੀਂਦਾ ਹੈ

ਤੁਸੀਂ ਕਿੱਥੇ ਕੰਮ ਕਰੋਗੇ

ਕੰਮ ਦਾ ਵੇਰਵਾ

About the Company

Infosys is a global digital services and consulting company helping enterprises across 46 countries move through large-scale transformation. With more than 30 years of experience in running complex global systems, it focuses on building an AI-enabled core, supporting agile digital delivery, and continuously improving capabilities through an ecosystem of innovation, skills, and knowledge transfer.

Role Overview

This position is for a Databricks Administrator based in Pune. The role centers on supporting and maintaining Databricks environments and cloud-based data platform operations.

Responsibilities

  • Manage Databricks workspaces and handle cluster operations to keep the platform running efficiently.
  • Support Databricks administration activities across cloud data platform environments.
  • Apply knowledge of Apache Spark architecture to assist with tuning and performance improvement.
  • Work across cloud ecosystems such as Azure Databricks, AWS, or GCP.
  • Use Linux/Unix environments along with Shell or Python scripting for administrative and support tasks.
  • Administer users, permissions, and access controls using IAM and RBAC concepts.
  • Understand network-related components such as VPCs, VPNs, and private endpoints.
  • Investigate platform, system, and performance issues and drive issue resolution.

Experience Required

The role expects 3 to 5 years of relevant experience in Databricks administration or cloud data platform support.

Eligibility

Applicants should hold a B.Tech or B.E. in any specialization, a B.C.A. in any specialization, or a B.Sc. in any specialization.

Additional Information

Technology track: Data Engineering > Databricks.

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