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Digital- GEN AI - Senior

6.0 years

Calcutta

On-site

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Title: Senior, Data Science Job purpose You will be part of our GDS Assurance Digital, helping EY’s sector and service line professionals to gain insight from data. You will work with multi-disciplinary teams across the entire region to support global clients. You will support the development of analytical and statistical models, algorith...

Posted 4 days ago

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Exploring Knime Jobs in India

Knime, an open-source data analytics platform, is gaining popularity among companies in India for its powerful data integration, transformation, and analysis capabilities. Job seekers with expertise in Knime are in demand due to the increasing adoption of data-driven decision-making processes in organizations across various industries.

Top Hiring Locations in India

Bangalore
Mumbai
Delhi
Hyderabad
Pune

These cities are known for their vibrant tech ecosystems and host a significant number of companies actively hiring for Knime roles.

Average Salary Range

The average salary range for Knime professionals in India varies based on experience level. Entry-level positions such as Data Analysts or Junior Developers can expect to earn around INR 4-6 lakhs per annum, while experienced professionals in roles like Data Scientists or Tech Leads can earn upwards of INR 12-15 lakhs per annum.

Career Path

In the Knime job market, a typical career path may progress as follows: - Junior Developer - Data Analyst - Senior Developer - Data Scientist - Tech Lead

As professionals gain experience and expertise in Knime, they can advance to higher-level roles with increased responsibilities and leadership opportunities.

Related Skills

In addition to Knime proficiency, job seekers in India may benefit from having the following related skills: - Data Analysis - Machine Learning - Python/R Programming - SQL - Data Visualization

These skills complement Knime expertise and enhance a candidate's overall profile in the job market.

Interview Questions

Here are 25 interview questions for Knime roles:

What is Knime and how is it used in data analytics? (basic)
Explain the difference between workflow and workspace in Knime. (basic)
How do you handle missing values in Knime workflows? (medium)
Can you explain the concept of flow variables in Knime? (medium)
What are some common data preprocessing techniques in Knime? (medium)
How do you deploy Knime workflows in a production environment? (medium)
What are the various data mining algorithms available in Knime? (medium)
How do you optimize the performance of Knime workflows? (medium)
Explain the concept of loops in Knime workflows. (medium)
How does Knime support integration with other tools and databases? (medium)
What are some best practices for workflow design in Knime? (advanced)
Can you create a custom node in Knime? (advanced)
How do you handle large datasets in Knime? (advanced)
What are some advanced analytics techniques that can be implemented in Knime? (advanced)
How do you schedule and automate workflows in Knime Server? (advanced)
Explain the concept of metanodes in Knime. (advanced)
How does Knime support collaboration among team members working on a project? (advanced)
What are some limitations of Knime as a data analytics tool? (advanced)
How do you troubleshoot errors in Knime workflows? (advanced)
Can you integrate Knime with cloud services for data processing? (advanced)
How do you assess the quality of results obtained from Knime workflows? (advanced)
What are some security considerations when working with sensitive data in Knime? (advanced)
How do you handle version control in Knime workflows? (advanced)
Can you explain the concept of Knime extensions and how they enhance functionality? (advanced)
How do you stay updated with the latest features and updates in Knime? (advanced)

Closing Remark

As you explore Knime job opportunities in India, it's essential to prepare thoroughly and showcase your skills and expertise confidently during interviews. With the right combination of technical knowledge and practical experience, you can excel in Knime roles and contribute significantly to the data analytics landscape in the country. Good luck in your job search!

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