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Infosys

Databricks Administrator

Infosys

Pune, Maharashtra, India • Penuh Waktu

1 pelamar

Pengalaman
3–5 tahun
Gaji
Lowongan
1
Diposting
1 jam yang lalu
Mode kerja
Di kantor
Pendidikan
B.Tech/B.E., B.C.A., B.Sc
Kelayakan
Candidates with a B.Tech/B.E. in any specialization, B.C.A. in any specialization, or B.Sc. in any specialization may apply.
Melanjutkan
Wajib mendaftar

Tempat Anda akan bekerja

Deskripsi pekerjaan

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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