Databricks Platform Operations

Tekskills; Bulandshahr; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Tekskills is seeking a senior Databricks Platform Operations professional to ensure stability, scalability and security of our Databricks environment. The role involves daily monitoring, issue resolution, capacity planning and governance, with potential earlier experience as a Linux/Hadoop/Spark administrator.

The ideal candidate brings deep cloud data platform expertise and acts as a technical architect for platform best practices, reporting into the data platform team.

Qualifications

• 8–12 years of experience in Databricks platform operations or similar big data environments.
• Strong understanding of data loads, governance, and platform optimization.
• Experience as a technical architect for platform best practices.

Responsibilities

• Daily monitoring and resolution of data load issues on the Databricks platform.
• Optimize platform performance, plan capacity, and enforce governance.
• Provide technical leadership on best practices and security.

Tools

Terraform

Azure Purview

Apache Spark and SQL

Data lakehouse

Job description

Skill: Databricks Production Support - Senior Level

Experience: 8-12 Years

Location: Hyderabad & Bangalore

Notice Period: Immediate - 15 Days

Shift Timings: 1PM - 10PM

Detailed job description - Skill Set:

We are seeking a highly skilled Databricks Platform Operations to join our team, responsible for daily monitoring and resolution of data load issues, platform optimization, capacity planning, and governance management. This role is pivotal in ensuring the stability, scalability, and security of our Databricks environment while acting as a technical architect for platform best practices. The ideal candidate will bring a strong operational background, potentially with earlier experience as a Linux, Hadoop, or Spark administrator, and possess deep expertise in managing cloud-based data platforms.

Mandatory Skills

• Terraform
• Azure Purview
• Apache Spark and SQL
• Data lakehouse