How much salary can I expect as a Kafka Developer in Infosys in Hyderabad?

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 Kafka Developer in Infosys in Hyderabad?

The candidate should have completed the required education and people who have 2 to 9 years are eligible to apply for this job. You can apply for more jobs in Hyderabad 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 Hyderabad 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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Kafka Developer

Infosys

Kafka Developer

Infosys

Hyderabad

Not disclosed

Work from Office

Full Time

Min. 2 years

Job Description

Kafka Developer

Kafka, Java • Ability to develop value-creating strategies and models that enable clients to innovate, drive growth and increase their business profitability • Good knowledge on software configuration management systems • Awareness of latest technologies and Industry trends • Logical thinking and problem solving skills along with an ability to collaborate • Understanding of the financial processes for various types of projects and the various pricing models available • Ability to assess the current processes, identify improvement areas and suggest the technology solutions • One or two industry domain knowledge • Client Interfacing skills • Project and Team management Design, develop, and optimize data pipelines using Kafka and Java • Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions. • Ensure data quality and integrity across various data sources. • Provide technical guidance and mentorship to junior team members.