Databricks

Databricks Admin

Role: Databricks Admin

Experience: 5 years to 15 years

Location: Bangalore, Chennai, Delhi, Mumbai, Pune, Hyderabad

Interested candidates can send their resume on below mail ID along with below details-

geethanjali.u@tcs.com

Please share below details-

Full Name:

Email:

Contact Details:

Total Experience:

Current location:

Preferred location:

Relevant Experience:

Notice Period:

Current CTC:

Expected CTC:

Current Company Name:

Education or career gap (if any):

EP Reference Number (if already registered with TCS) –

Highest Qualification:

.

Role: Solution Architect- Blue Yonder

Experience: 6 years to 15 years

Location: Bangalore

Interested candidates can send their resume on below mail ID along with below details-

geethanjali.u@tcs.com

Please share below details-

Full Name:

Email:

Contact Details:

Total Experience:

Current location:

Preferred location:

Relevant Experience:

Notice Period:

Current CTC:

Expected CTC:

Current Company Name:

Education or career gap (if any):

EP Reference Number (if already registered with TCS) –

Highest Qualification:

Highest Qualification University Name:

Architecture of Azure Databricks, differentiating between the control plane and data plane.

SDLC of Azure Databricks.

Describe the role of Databricks Workspaces, Notebooks, and Jobs

How to create workspaces, providing access to users. Setup and Provisioning

How to configure and manage different types of Databricks clusters (e.g., all-purpose, job, high concurrency).

How to secure data in Databricks.

How to manage cluster resources & optimize cluster performance.

Integration and Other Azure Services, Azure Databricks integrate with Azure Data Lake Storage (ADLS)? & Azure Synapse Analytics?

How to implement CI/CD pipelines for Databricks notebooks and jobs using Azure DevOps

Monitor and log Databricks workloads for performance and error analysis.

Monitoring and Cost Management.

Required level of experience on the Databricks platform.

To support our business unit–facing data platforms, the candidate must have:

Hands-on experience with Databricks,

Proficiency in Azure services, particularly ADF and ADLS,

A good understanding of CI/CD and Terraform, even if the implementation experience is limited

Strong communication skills, as this role involves close collaboration with business stakeholders.