How much salary can I expect as a Azure Databricks Developer in Infosys 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 Databricks Developer in Infosys in Bengaluru/Bangalore?

The candidate should have completed the required education and people who have 5 to 9 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 Databricks Developer

Infosys

Azure Databricks Developer

Infosys

Bengaluru/Bangalore

Not disclosed

Work from Office

Full Time

Min. 5 years

Job Description

Databricks Developer

Databricks, Pyspark Minimum Qualifications • Bachelor's degree in Computer Science, Information Technology, or a related field. • Proven experience with Azure Databricks, with a minimum of 5 years in data engineering. • Strong understanding of data processing frameworks and cloud technologies. Preferred Qualifications • Experience with PySpark and its application in big data environments. • Azure Databricks certification. • Track record of successfully delivering data solutions in a consulting environment. • Familiarity with data governance and security best practices. • Excellent problem-solving skills and ability to work independently. Design, develop, and optimize data pipelines using Azure Databricks. • Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions. • Implement data transformation and processing tasks using PySpark. • Ensure data quality and integrity across various data sources. • Provide technical guidance and mentorship to junior team members.