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Qliksense Admin

Cognizant

Software and Technology Jobs

Qliksense Admin

full-timePosted: Dec 7, 2025

Job Description

AIA-Chennai

Job Summary

The Sr. Developer role is pivotal in driving the development and optimization of data-driven solutions using Python and PySpark. With a hybrid work model the candidate will collaborate with cross-functional teams to enhance data processing capabilities. This position requires a seasoned professional with 7 to 10 years of experience focusing on delivering impactful solutions that align with the companys strategic goals.


Responsibilities

  • Develop and implement scalable data processing solutions using Python and PySpark to enhance data analytics capabilities.
  • Collaborate with data scientists and analysts to understand data requirements and translate them into technical specifications.
  • Optimize existing data pipelines to improve performance and efficiency ensuring timely data availability for stakeholders.
  • Design and maintain robust ETL processes to support data integration from various sources.
  • Troubleshoot and resolve complex technical issues related to data processing and analytics.
  • Ensure data quality and integrity by implementing rigorous testing and validation procedures.
  • Document technical solutions and processes to facilitate knowledge sharing and team collaboration.
  • Stay updated with the latest industry trends and technologies to continuously improve data processing practices.
  • Participate in code reviews to maintain high coding standards and best practices.
  • Work closely with project managers to ensure timely delivery of data solutions that meet business requirements.
  • Provide technical guidance and mentorship to junior developers to foster a collaborative team environment.
  • Engage in continuous learning and development to enhance technical skills and knowledge.
  • Contribute to the companys mission by delivering data solutions that drive business insights and decision-making.


Qualifications

  • Possess a strong proficiency in Python and PySpark with a proven track record of developing data-driven solutions.
  • Demonstrate experience in designing and optimizing ETL processes for large-scale data integration.
  • Exhibit excellent problem-solving skills with the ability to troubleshoot complex technical issues.
  • Show a commitment to maintaining high data quality and integrity through rigorous testing.
  • Have a collaborative mindset with the ability to work effectively in a hybrid work model.
  • Display strong communication skills to articulate technical concepts to non-technical stakeholders.
  • Be proactive in staying updated with the latest industry trends and technologies.

The Cognizant community:
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.

  • Cognizant is a global community with more than 300,000 associates around the world.
  • We don’t just dream of a better way – we make it happen.
  • We take care of our people, clients, company, communities and climate by doing what’s right.
  • We foster an innovative environment where you can build the career path that’s right for you.

About us:
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com with your request and contact information.

Disclaimer:
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

About the Role/Company

  • Cognizant is a global community with more than 300,000 associates around the world
  • Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era
  • Headquartered in the U.S., Cognizant is a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025
  • Cognizant fosters an innovative environment where employees can build the career path that’s right for them
  • Cognizant is an equal opportunity employer
  • Cognizant takes care of its people, clients, company, communities, and climate by doing what’s right

Key Responsibilities

  • Develop and implement scalable data processing solutions using Python and PySpark to enhance data analytics capabilities
  • Collaborate with data scientists and analysts to understand data requirements and translate them into technical specifications
  • Optimize existing data pipelines to improve performance and efficiency ensuring timely data availability for stakeholders
  • Design and maintain robust ETL processes to support data integration from various sources
  • Troubleshoot and resolve complex technical issues related to data processing and analytics
  • Ensure data quality and integrity by implementing rigorous testing and validation procedures
  • Document technical solutions and processes to facilitate knowledge sharing and team collaboration
  • Stay updated with the latest industry trends and technologies to continuously improve data processing practices
  • Participate in code reviews to maintain high coding standards and best practices
  • Work closely with project managers to ensure timely delivery of data solutions that meet business requirements
  • Provide technical guidance and mentorship to junior developers to foster a collaborative team environment
  • Engage in continuous learning and development to enhance technical skills and knowledge
  • Contribute to the company's mission by delivering data solutions that drive business insights and decision-making

Required Qualifications

  • Strong proficiency in Python and PySpark with a proven track record of developing data-driven solutions
  • Experience in designing and optimizing ETL processes for large-scale data integration
  • Excellent problem-solving skills with the ability to troubleshoot complex technical issues
  • Commitment to maintaining high data quality and integrity through rigorous testing
  • Collaborative mindset with the ability to work effectively in a hybrid work model
  • Strong communication skills to articulate technical concepts to non-technical stakeholders
  • Proactive in staying updated with the latest industry trends and technologies

Skills Required

  • Python
  • PySpark
  • ETL processes
  • Data integration
  • Problem-solving
  • Data quality and integrity
  • Communication
  • Collaboration
  • Code review

Additional Requirements

  • to 10 years of experience
  • Ability to work in a hybrid work model

Locations

  • India

Salary

Estimated Salary Rangemedium confidence

800,000 - 1,500,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Pythonintermediate
  • PySparkintermediate
  • ETL processesintermediate
  • Data integrationintermediate
  • Problem-solvingintermediate
  • Data quality and integrityintermediate
  • Communicationintermediate
  • Collaborationintermediate
  • Code reviewintermediate

Required Qualifications

  • Strong proficiency in Python and PySpark with a proven track record of developing data-driven solutions (experience)
  • Experience in designing and optimizing ETL processes for large-scale data integration (experience)
  • Excellent problem-solving skills with the ability to troubleshoot complex technical issues (experience)
  • Commitment to maintaining high data quality and integrity through rigorous testing (experience)
  • Collaborative mindset with the ability to work effectively in a hybrid work model (experience)
  • Strong communication skills to articulate technical concepts to non-technical stakeholders (experience)
  • Proactive in staying updated with the latest industry trends and technologies (experience)

Responsibilities

  • Develop and implement scalable data processing solutions using Python and PySpark to enhance data analytics capabilities
  • Collaborate with data scientists and analysts to understand data requirements and translate them into technical specifications
  • Optimize existing data pipelines to improve performance and efficiency ensuring timely data availability for stakeholders
  • Design and maintain robust ETL processes to support data integration from various sources
  • Troubleshoot and resolve complex technical issues related to data processing and analytics
  • Ensure data quality and integrity by implementing rigorous testing and validation procedures
  • Document technical solutions and processes to facilitate knowledge sharing and team collaboration
  • Stay updated with the latest industry trends and technologies to continuously improve data processing practices
  • Participate in code reviews to maintain high coding standards and best practices
  • Work closely with project managers to ensure timely delivery of data solutions that meet business requirements
  • Provide technical guidance and mentorship to junior developers to foster a collaborative team environment
  • Engage in continuous learning and development to enhance technical skills and knowledge
  • Contribute to the company's mission by delivering data solutions that drive business insights and decision-making

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Cognizant logo

Qliksense Admin

Cognizant

Software and Technology Jobs

Qliksense Admin

full-timePosted: Dec 7, 2025

Job Description

AIA-Chennai

Job Summary

The Sr. Developer role is pivotal in driving the development and optimization of data-driven solutions using Python and PySpark. With a hybrid work model the candidate will collaborate with cross-functional teams to enhance data processing capabilities. This position requires a seasoned professional with 7 to 10 years of experience focusing on delivering impactful solutions that align with the companys strategic goals.


Responsibilities

  • Develop and implement scalable data processing solutions using Python and PySpark to enhance data analytics capabilities.
  • Collaborate with data scientists and analysts to understand data requirements and translate them into technical specifications.
  • Optimize existing data pipelines to improve performance and efficiency ensuring timely data availability for stakeholders.
  • Design and maintain robust ETL processes to support data integration from various sources.
  • Troubleshoot and resolve complex technical issues related to data processing and analytics.
  • Ensure data quality and integrity by implementing rigorous testing and validation procedures.
  • Document technical solutions and processes to facilitate knowledge sharing and team collaboration.
  • Stay updated with the latest industry trends and technologies to continuously improve data processing practices.
  • Participate in code reviews to maintain high coding standards and best practices.
  • Work closely with project managers to ensure timely delivery of data solutions that meet business requirements.
  • Provide technical guidance and mentorship to junior developers to foster a collaborative team environment.
  • Engage in continuous learning and development to enhance technical skills and knowledge.
  • Contribute to the companys mission by delivering data solutions that drive business insights and decision-making.


Qualifications

  • Possess a strong proficiency in Python and PySpark with a proven track record of developing data-driven solutions.
  • Demonstrate experience in designing and optimizing ETL processes for large-scale data integration.
  • Exhibit excellent problem-solving skills with the ability to troubleshoot complex technical issues.
  • Show a commitment to maintaining high data quality and integrity through rigorous testing.
  • Have a collaborative mindset with the ability to work effectively in a hybrid work model.
  • Display strong communication skills to articulate technical concepts to non-technical stakeholders.
  • Be proactive in staying updated with the latest industry trends and technologies.

The Cognizant community:
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.

  • Cognizant is a global community with more than 300,000 associates around the world.
  • We don’t just dream of a better way – we make it happen.
  • We take care of our people, clients, company, communities and climate by doing what’s right.
  • We foster an innovative environment where you can build the career path that’s right for you.

About us:
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com with your request and contact information.

Disclaimer:
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

About the Role/Company

  • Cognizant is a global community with more than 300,000 associates around the world
  • Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era
  • Headquartered in the U.S., Cognizant is a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025
  • Cognizant fosters an innovative environment where employees can build the career path that’s right for them
  • Cognizant is an equal opportunity employer
  • Cognizant takes care of its people, clients, company, communities, and climate by doing what’s right

Key Responsibilities

  • Develop and implement scalable data processing solutions using Python and PySpark to enhance data analytics capabilities
  • Collaborate with data scientists and analysts to understand data requirements and translate them into technical specifications
  • Optimize existing data pipelines to improve performance and efficiency ensuring timely data availability for stakeholders
  • Design and maintain robust ETL processes to support data integration from various sources
  • Troubleshoot and resolve complex technical issues related to data processing and analytics
  • Ensure data quality and integrity by implementing rigorous testing and validation procedures
  • Document technical solutions and processes to facilitate knowledge sharing and team collaboration
  • Stay updated with the latest industry trends and technologies to continuously improve data processing practices
  • Participate in code reviews to maintain high coding standards and best practices
  • Work closely with project managers to ensure timely delivery of data solutions that meet business requirements
  • Provide technical guidance and mentorship to junior developers to foster a collaborative team environment
  • Engage in continuous learning and development to enhance technical skills and knowledge
  • Contribute to the company's mission by delivering data solutions that drive business insights and decision-making

Required Qualifications

  • Strong proficiency in Python and PySpark with a proven track record of developing data-driven solutions
  • Experience in designing and optimizing ETL processes for large-scale data integration
  • Excellent problem-solving skills with the ability to troubleshoot complex technical issues
  • Commitment to maintaining high data quality and integrity through rigorous testing
  • Collaborative mindset with the ability to work effectively in a hybrid work model
  • Strong communication skills to articulate technical concepts to non-technical stakeholders
  • Proactive in staying updated with the latest industry trends and technologies

Skills Required

  • Python
  • PySpark
  • ETL processes
  • Data integration
  • Problem-solving
  • Data quality and integrity
  • Communication
  • Collaboration
  • Code review

Additional Requirements

  • to 10 years of experience
  • Ability to work in a hybrid work model

Locations

  • India

Salary

Estimated Salary Rangemedium confidence

800,000 - 1,500,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Pythonintermediate
  • PySparkintermediate
  • ETL processesintermediate
  • Data integrationintermediate
  • Problem-solvingintermediate
  • Data quality and integrityintermediate
  • Communicationintermediate
  • Collaborationintermediate
  • Code reviewintermediate

Required Qualifications

  • Strong proficiency in Python and PySpark with a proven track record of developing data-driven solutions (experience)
  • Experience in designing and optimizing ETL processes for large-scale data integration (experience)
  • Excellent problem-solving skills with the ability to troubleshoot complex technical issues (experience)
  • Commitment to maintaining high data quality and integrity through rigorous testing (experience)
  • Collaborative mindset with the ability to work effectively in a hybrid work model (experience)
  • Strong communication skills to articulate technical concepts to non-technical stakeholders (experience)
  • Proactive in staying updated with the latest industry trends and technologies (experience)

Responsibilities

  • Develop and implement scalable data processing solutions using Python and PySpark to enhance data analytics capabilities
  • Collaborate with data scientists and analysts to understand data requirements and translate them into technical specifications
  • Optimize existing data pipelines to improve performance and efficiency ensuring timely data availability for stakeholders
  • Design and maintain robust ETL processes to support data integration from various sources
  • Troubleshoot and resolve complex technical issues related to data processing and analytics
  • Ensure data quality and integrity by implementing rigorous testing and validation procedures
  • Document technical solutions and processes to facilitate knowledge sharing and team collaboration
  • Stay updated with the latest industry trends and technologies to continuously improve data processing practices
  • Participate in code reviews to maintain high coding standards and best practices
  • Work closely with project managers to ensure timely delivery of data solutions that meet business requirements
  • Provide technical guidance and mentorship to junior developers to foster a collaborative team environment
  • Engage in continuous learning and development to enhance technical skills and knowledge
  • Contribute to the company's mission by delivering data solutions that drive business insights and decision-making

Target Your Resume for "Qliksense Admin" , Cognizant

Get personalized recommendations to optimize your resume specifically for Qliksense Admin. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Qliksense Admin" , Cognizant

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

TechnologyIT ServicesTechnologyConsulting

Answer 10 quick questions to check your fit for Qliksense Admin @ Cognizant.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.