How much salary can I expect as a Azure Data Architect in Birlasoft Limited in Pune?

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 Architect in Birlasoft Limited in Pune?

The candidate should have completed the required education and people who have 14 to 16 years are eligible to apply for this job. You can apply for more jobs in Pune 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?

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

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Azure Data Architect

Birlasoft Limited

Azure Data Architect

Birlasoft Limited

Pune

Not disclosed

Work from Office

Full Time

Min. 14 years

Job Description

Architect

Area(s) of responsibility

JD - Azure Data Architect

Experience: 14 to 16 Years , 3+ Years of experience in Azure Data Architect

• Cloud Architect with experience in Azure ADF, Databricks, PySpark

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

• Experince in Azure Databricks and ADF, Azure Synapse and PySpark

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

• Experience in creating Data warehouse, data lakes for Reporting, AI and Machine Learning

• Understanding of data modelling and data architecture concepts

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

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

• Define and implement cloud governance and best practices.

• Identify and implement automation opportunities to increase operational efficiency.

• Conduct knowledge sharing and training sessions to educate clients and internal teams on cloud technologies.

Mandatory Skillset: Azure Databricks, ADF, Architecture, PySpark