How much salary can I expect as a Azure Data Lead in Birlasoft Limited in Bengaluru/Bangalore?

You can expect a minimum salary of 0 INR. The salary offered will depend on your skills, experience and performance in the interview.

What is the eligibility criteria to apply for Azure Data Lead in Birlasoft Limited in Bengaluru/Bangalore?

The candidate should have completed the required education and people who have 6 to 10 years are eligible to apply for this job. You can apply for more jobs in Bengaluru/Bangalore to get hired quickly.

Is there any specific skill required for this job?

The candidate should have sound communication skills and sound communication skills for this job.

Who can apply for this job?

Both Male and Female candidates can apply for this job.

Is it a work from home job?

No, it's not a work from home job and can't be done online. You can explore and apply for other work from home jobs in Bengaluru/Bangalore at apna.

Are there any charges or deposits required while applying for the role or while joining?

No work-related deposit needs to be made during your employment with the company.

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Go to the apna app and apply for this job. Click on the apply button and call HR directly to schedule your interview.

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Azure Data Lead

Birlasoft Limited

Azure Data Lead

Birlasoft Limited

Bengaluru/Bangalore

Not disclosed

Work from Office

Full Time

Min. 6 years

Job Description

Azure Data Lead

Area(s) of responsibility

Skills: Azure Data Lead

Experience: 6 to 10 Years

Location: Mumbai/Pune/Noida/ Bangalore/Hyderabad/ Chennai

• Azure Lead with experience in Azure ADF, ADLS Gen2, Databricks, PySpark and Advanced SQL

• Responsible for designing and implementing secure, scalable, and highly available cloud-based solutions and estimation on Azure Cloud

• 4 Years of experience in Azure Databricks and PySpark

• Experience in Performance Tuning

• Experience with integration of different data sources with Data Warehouse and Data Lake is required

• Experience in creating Data warehouse, data lakes

• Understanding of data modelling and data architecture concepts

• To be able to clearly articulate pros and cons of various technologies and platforms

• Experience in supporting tools GitHub, Jira, Teams, Confluence need to be used

• Collaborate with clients to understand their business requirements and translate them into technical solutions that leverage AWS and Azure cloud platforms.

Mandatory Skillset: Azure Databricks, PySpark and Advanced SQL