Resume and JobRESUME AND JOB
Cognizant logo

Data Quality Engineer

Cognizant

Data Quality Engineer

Cognizant logo

Cognizant

full-time

Posted: December 7, 2025

Number of Vacancies: 1

Job Description

Job Summary:

We are seeking a highly experienced Data Validation Lead with 12+ years of expertise in Data Warehousing, Data Quality, and Data Engineering. The ideal candidate will have deep technical proficiency in SQL, Oracle, Big Query, and hands-on experience with Data Validation Tool. This role focuses on ensuring data integrity during system cutovers and migrations, troubleshooting discrepancies, and driving continuous improvement in data quality frameworks.

Key Responsibilities:

· Design and implement robust data validation processes and scripts for source-to-target comparison during system cutovers and separations.

· Write, optimize, and execute complex Oracle, SQL, and Big Query queries and stored procedures across heterogeneous database environments.

· Perform schema and count validation, including record counts, schema fidelity, data types, and key relationships post-migration.

· Develop validation checks to confirm business transformation logic and custom mappings are correctly applied.

· Investigate and resolve data discrepancies, performing root cause analysis (RCA) for mismatches between source and target systems.

· Collaborate with Data Engineering, Application Development, and Business teams to communicate and resolve data quality issues.

· Maintain detailed logs of identified data issues, including reproduction steps and resolution progress.

· Leverage Data Validation Tool (Ignition) for validation and reporting.

· Contribute to automation of data validation test cases and reporting metrics.

· Establish KPIs for measuring data quality and migration success.

Required Qualifications:

· Minimum of 12+ years of experience in Data Warehousing, Data Quality, or Data Engineering with emphasis on data validation.

· Expert-level proficiency in SQL, Oracle, and Big Query for data comparison and reconciliation.

· Deep knowledge of the full data migration lifecycle, including ETL/ELT processes.

· Proven ability to troubleshoot data quality issues and perform RCA in high-pressure environments.

Compensation:

- Annual salary range: $115,000 to $135,000 USD
- Bonus eligibility based on performance
- Comprehensive benefits package including health insurance, retirement plans, and paid time off

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
  • 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
  • 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 is consistently listed among the most admired companies in the world
  • 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

Key Responsibilities

  • Design and implement robust data validation processes and scripts for source-to-target comparison during system cutovers and separations
  • Write, optimize, and execute complex Oracle, SQL, and Big Query queries and stored procedures across heterogeneous database environments
  • Perform schema and count validation, including record counts, schema fidelity, data types, and key relationships post-migration
  • Develop validation checks to confirm business transformation logic and custom mappings are correctly applied
  • Investigate and resolve data discrepancies, performing root cause analysis (RCA) for mismatches between source and target systems
  • Collaborate with Data Engineering, Application Development, and Business teams to communicate and resolve data quality issues
  • Maintain detailed logs of identified data issues, including reproduction steps and resolution progress
  • Leverage Data Validation Tool (Ignition) for validation and reporting
  • Contribute to automation of data validation test cases and reporting metrics
  • Establish KPIs for measuring data quality and migration success

Required Qualifications

  • Minimum of 12+ years of experience in Data Warehousing, Data Quality, or Data Engineering with emphasis on data validation
  • Expert-level proficiency in SQL, Oracle, and Big Query for data comparison and reconciliation
  • Deep knowledge of the full data migration lifecycle, including ETL/ELT processes
  • Proven ability to troubleshoot data quality issues and perform RCA in high-pressure environments

Skills Required

  • SQL
  • Oracle
  • Big Query
  • Data Validation Tool (Ignition)
  • ETL/ELT processes
  • Root Cause Analysis (RCA)

Benefits & Perks

  • Comprehensive benefits package including health insurance, retirement plans, and paid time off
  • Bonus eligibility based on performance

Additional Requirements

  • Applicants may be required to attend interviews in person or by video conference
  • Candidates may be required to present their current state or government issued ID during each interview

Locations

  • India

Salary

115,000 - 135,000 USD / yearly

Skills Required

  • SQLintermediate
  • Oracleintermediate
  • Big Queryintermediate
  • Data Validation Tool (Ignition)intermediate
  • ETL/ELT processesintermediate
  • Root Cause Analysis (RCA)intermediate

Required Qualifications

  • Minimum of 12+ years of experience in Data Warehousing, Data Quality, or Data Engineering with emphasis on data validation (experience)
  • Expert-level proficiency in SQL, Oracle, and Big Query for data comparison and reconciliation (experience)
  • Deep knowledge of the full data migration lifecycle, including ETL/ELT processes (experience)
  • Proven ability to troubleshoot data quality issues and perform RCA in high-pressure environments (experience)

Responsibilities

  • Design and implement robust data validation processes and scripts for source-to-target comparison during system cutovers and separations
  • Write, optimize, and execute complex Oracle, SQL, and Big Query queries and stored procedures across heterogeneous database environments
  • Perform schema and count validation, including record counts, schema fidelity, data types, and key relationships post-migration
  • Develop validation checks to confirm business transformation logic and custom mappings are correctly applied
  • Investigate and resolve data discrepancies, performing root cause analysis (RCA) for mismatches between source and target systems
  • Collaborate with Data Engineering, Application Development, and Business teams to communicate and resolve data quality issues
  • Maintain detailed logs of identified data issues, including reproduction steps and resolution progress
  • Leverage Data Validation Tool (Ignition) for validation and reporting
  • Contribute to automation of data validation test cases and reporting metrics
  • Establish KPIs for measuring data quality and migration success

Benefits

  • general: Comprehensive benefits package including health insurance, retirement plans, and paid time off
  • general: Bonus eligibility based on performance

Target Your Resume for "Data Quality Engineer" , Cognizant

Get personalized recommendations to optimize your resume specifically for Data Quality Engineer. Takes only 15 seconds!

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

Check Your ATS Score for "Data Quality Engineer" , 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

Related Jobs You May Like

No related jobs found at the moment.

Cognizant logo

Data Quality Engineer

Cognizant

Data Quality Engineer

Cognizant logo

Cognizant

full-time

Posted: December 7, 2025

Number of Vacancies: 1

Job Description

Job Summary:

We are seeking a highly experienced Data Validation Lead with 12+ years of expertise in Data Warehousing, Data Quality, and Data Engineering. The ideal candidate will have deep technical proficiency in SQL, Oracle, Big Query, and hands-on experience with Data Validation Tool. This role focuses on ensuring data integrity during system cutovers and migrations, troubleshooting discrepancies, and driving continuous improvement in data quality frameworks.

Key Responsibilities:

· Design and implement robust data validation processes and scripts for source-to-target comparison during system cutovers and separations.

· Write, optimize, and execute complex Oracle, SQL, and Big Query queries and stored procedures across heterogeneous database environments.

· Perform schema and count validation, including record counts, schema fidelity, data types, and key relationships post-migration.

· Develop validation checks to confirm business transformation logic and custom mappings are correctly applied.

· Investigate and resolve data discrepancies, performing root cause analysis (RCA) for mismatches between source and target systems.

· Collaborate with Data Engineering, Application Development, and Business teams to communicate and resolve data quality issues.

· Maintain detailed logs of identified data issues, including reproduction steps and resolution progress.

· Leverage Data Validation Tool (Ignition) for validation and reporting.

· Contribute to automation of data validation test cases and reporting metrics.

· Establish KPIs for measuring data quality and migration success.

Required Qualifications:

· Minimum of 12+ years of experience in Data Warehousing, Data Quality, or Data Engineering with emphasis on data validation.

· Expert-level proficiency in SQL, Oracle, and Big Query for data comparison and reconciliation.

· Deep knowledge of the full data migration lifecycle, including ETL/ELT processes.

· Proven ability to troubleshoot data quality issues and perform RCA in high-pressure environments.

Compensation:

- Annual salary range: $115,000 to $135,000 USD
- Bonus eligibility based on performance
- Comprehensive benefits package including health insurance, retirement plans, and paid time off

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
  • 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
  • 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 is consistently listed among the most admired companies in the world
  • 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

Key Responsibilities

  • Design and implement robust data validation processes and scripts for source-to-target comparison during system cutovers and separations
  • Write, optimize, and execute complex Oracle, SQL, and Big Query queries and stored procedures across heterogeneous database environments
  • Perform schema and count validation, including record counts, schema fidelity, data types, and key relationships post-migration
  • Develop validation checks to confirm business transformation logic and custom mappings are correctly applied
  • Investigate and resolve data discrepancies, performing root cause analysis (RCA) for mismatches between source and target systems
  • Collaborate with Data Engineering, Application Development, and Business teams to communicate and resolve data quality issues
  • Maintain detailed logs of identified data issues, including reproduction steps and resolution progress
  • Leverage Data Validation Tool (Ignition) for validation and reporting
  • Contribute to automation of data validation test cases and reporting metrics
  • Establish KPIs for measuring data quality and migration success

Required Qualifications

  • Minimum of 12+ years of experience in Data Warehousing, Data Quality, or Data Engineering with emphasis on data validation
  • Expert-level proficiency in SQL, Oracle, and Big Query for data comparison and reconciliation
  • Deep knowledge of the full data migration lifecycle, including ETL/ELT processes
  • Proven ability to troubleshoot data quality issues and perform RCA in high-pressure environments

Skills Required

  • SQL
  • Oracle
  • Big Query
  • Data Validation Tool (Ignition)
  • ETL/ELT processes
  • Root Cause Analysis (RCA)

Benefits & Perks

  • Comprehensive benefits package including health insurance, retirement plans, and paid time off
  • Bonus eligibility based on performance

Additional Requirements

  • Applicants may be required to attend interviews in person or by video conference
  • Candidates may be required to present their current state or government issued ID during each interview

Locations

  • India

Salary

115,000 - 135,000 USD / yearly

Skills Required

  • SQLintermediate
  • Oracleintermediate
  • Big Queryintermediate
  • Data Validation Tool (Ignition)intermediate
  • ETL/ELT processesintermediate
  • Root Cause Analysis (RCA)intermediate

Required Qualifications

  • Minimum of 12+ years of experience in Data Warehousing, Data Quality, or Data Engineering with emphasis on data validation (experience)
  • Expert-level proficiency in SQL, Oracle, and Big Query for data comparison and reconciliation (experience)
  • Deep knowledge of the full data migration lifecycle, including ETL/ELT processes (experience)
  • Proven ability to troubleshoot data quality issues and perform RCA in high-pressure environments (experience)

Responsibilities

  • Design and implement robust data validation processes and scripts for source-to-target comparison during system cutovers and separations
  • Write, optimize, and execute complex Oracle, SQL, and Big Query queries and stored procedures across heterogeneous database environments
  • Perform schema and count validation, including record counts, schema fidelity, data types, and key relationships post-migration
  • Develop validation checks to confirm business transformation logic and custom mappings are correctly applied
  • Investigate and resolve data discrepancies, performing root cause analysis (RCA) for mismatches between source and target systems
  • Collaborate with Data Engineering, Application Development, and Business teams to communicate and resolve data quality issues
  • Maintain detailed logs of identified data issues, including reproduction steps and resolution progress
  • Leverage Data Validation Tool (Ignition) for validation and reporting
  • Contribute to automation of data validation test cases and reporting metrics
  • Establish KPIs for measuring data quality and migration success

Benefits

  • general: Comprehensive benefits package including health insurance, retirement plans, and paid time off
  • general: Bonus eligibility based on performance

Target Your Resume for "Data Quality Engineer" , Cognizant

Get personalized recommendations to optimize your resume specifically for Data Quality Engineer. Takes only 15 seconds!

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

Check Your ATS Score for "Data Quality Engineer" , 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

Related Jobs You May Like

No related jobs found at the moment.