1,824 Data Integrity jobs in India

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**Job description below.**

**Responsibilities**:
1. Accurately input data into company databases and systems following established procedures and guidelines.

2. Ensure timely and efficient processing of data entry tasks to meet deadlines and organizational requirements.

3. Verify and correct data discrepancies or errors by conducting regular quality checks and validations.

4. Collaborate with team members to identify and resolve any data-related issues or inconsistencies.

**Requirements**:
1. Proven experience in data entry, data integrity, and data processing roles with a typing speed of 25wpm and higher

2. Excellent attention to detail and accuracy in data entry tasks.

3. Ability to work both independently and collaboratively in a fast-paced environment.

4.Excellent communication skills and proficiency in English spelling

**Position**:_**Data Validation**_
**Location**:_**Vadapalani, Chennai**_
- **Shift: Day Shift only**_
- **Shift Time: 9 am - 5:30 pm**_
- **Working Days: Monday to Saturday**_
- **Experience: Fresher**_
- **Work type: Work From Office only**_

We are looking for a Data Entry operator. To be a successful data entry operator, you should possess excellent typing skills and be attentive to detail.

**Roles and Responsibilities**:

- Entering customer and

Jr. Data Validation Executive

Validating Invoices received from field

Pay: ₹10,121.43 - ₹13,000.00 per month

**Benefits**:

- Health insurance
- Paid sick time
- Provident Fund

Work Location: In person

**Job title** : **_Data Validation Team Member_**
+ _Hiring Manager:_ **_Project Lead-ESR & Grants_**
+ _Location:_ **_Hyderabad_**
+ _% of travel expected:_ **_Travel required as per business need_**
+ _Job type:_ **_Permanent and Full time_**
About the job
**Our Team:**
_Sanofi Business Operations (SBO) is an internal Sanofi resource organization based in India and is setup to centralize_ processes _and activities to support Specialty Care, Vaccines, General Medicines, CHC, CMO, and R&D, Data & Digital functions_ __ _. Sanofi Business Operations strives to be a strategic and functional partner for tactical deliveries to Medical, HEVA, and Commercial organizations_ __ _in Sanofi, globally._
_The Sanofi Business Operations is built to reduce reliance on external service providers and facilitate the development of internal expertise. The Sanofi Business Operations will leverage an untapped combination of talent pool._
**Main responsibilities:**
Sanofi is seeking a dedicated and detail-oriented Data Validation Team Member to join our team. The successful candidate will be responsible for ensuring the accuracy and quality of clinical data through comprehensive validation and quality control processes.
**Key Responsibilities:**
+ System and Data Collection: Understand system and data collection processes, including electronic Case Report Forms (eCRFs) in the Medidata RAVE (EDC) application.
+ Data Verification: Verify data for consistency and identify discrepancies.
+ Query Management: Raise and manage queries to resolve data issues.
+ User Acceptance Testing (UAT): Perform UAT for CRF changes and system updates, document findings, and assist with other tasks as needed.
+ Issue Log Management: Update issue logs with data issues and resolutions.
+ Metrics Creation: Create form entry and query metrics.
+ Metrics Tracking: Track eCRF review and backlog metrics.
+ Data Review: Review data listings produced in SAS, ad-hoc reporting, and scanned reports for accuracy.
+ Quality Control: Ensure quality control of all activities in-scope, as discussed and required by Sanofi.
+ Reconciliation: Perform data reconciliation to ensure data integrity.
+ Guideline Input: Provide input to Data Review Guidelines (DRG) and Quality Management & Control Plan.
+ Documentation: Draft project documents on an ad-hoc basis.
+ Training Facilitation: Facilitate training for new team members and create test cases.
+ **People:** (1) Seek alignment with internal stakeholders, and appropriate prioritization of Registry study data management activities, and compliance with approved processes; (2) Support team initiatives and objectives, identify and recommend process improvements and initiatives, and participate in company initiatives with the primary objective of adding value to the business
+ **Performance:** (1) Ensure that the data validation methods produce accurate and reliable results (2) Identify sources of data validity problems and implementing data-driven quality improvement processes; (3) Ensure operational excellence and compliance readiness.
+ **Process:** (1) Understand system and data collection processes, including electronic Case Report Forms (eCRFs) in the Medidata RAVE (EDC) application. (2) Verify data for consistency and identify discrepancies. (3) Raise and manage queries to resolve data issues. (4) Perform UAT for CRF changes and system updates, document findings, and assist with other tasks as needed. (5) Update issue logs with data issues and resolutions. (6) Create form entry and query metrics. (7) Track eCRF review and backlog metrics. (8) Review data listings produced in SAS, ad-hoc reporting, and scanned reports for accuracy. (9) Ensure quality control of all activities in-scope, as discussed, and required by Sanofi. (10) Perform data reconciliation to ensure data integrity. (11) Provide input to Data Review Guidelines (DRG) and Quality Management & Control Plan. (12) Draft project documents on an ad-hoc basis. (13) Facilitate training for new team members and create test cases.
+ **Stakeholder:** (1) Commit to Customers - Understand, meet, and excel internal and external customer expectations to create positive impact through the evolution of the Registry Data management function. (2) Cooperate Transversally - Collaborate effectively with peers, stakeholders, and partners across the organization to positively impact Registry study data management efficiency and execution.
About you
+ **Experience** : 3+ years of Experience with Medidata RAVE (EDC) application and SAS. Strong attention to detail and analytical skills. Excellent communication and documentation skills. Ability to work independently and as part of a team. Previous experience in a similar role within the pharmaceutical or clinical research industry. Familiarity with regulatory requirements and guidelines for clinical data management.
+ **Soft skills** : Excellent written and oral communication skills. Excellent organizational and project management skills, and ability to meet deadlines and stakeholder management. Ability to maintain confidentiality of data and information during interactions with staff at all levels and across studies and sponsors. Previous experience in a similar role within the pharmaceutical or clinical research industry. Familiarity with regulatory requirements and guidelines for clinical data management.
+ **Technical skills** : Proficiency in data management tools and software (e.g., SQL, SAS, R, Python) Understanding of data cleaning, transformation, and validation techniques. Familiarity with clinical data standards such as CDISC (Clinical Data Interchange Standards Consortium) and HL7 (Health Level Seven International). Knowledge of regulatory requirements and guidelines from bodies like the FDA and EMA.
+ **Education** : Degree in a scientific discipline or a related Life science degree with substantial experiences with data management of clinical trials. Efficiently managing multiple tasks and deadlines. Meticulous in reviewing data to ensure accuracy and completeness.
+ **Languages** : High Proficiency in written and spoken English.
Pursue progress, discover extraordinary.
Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people.
At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.
Watch our ALL IN video ( and check out our Diversity Equity and Inclusion actions at sanofi.com ( !
**Pursue** **_progress_** **, discover** **_extraordinary_**
Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people.
At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.
Watch our ALL IN video ( and check out our Diversity Equity and Inclusion actions at sanofi.com ( !
Global Terms & Conditions and Data Privacy Statement ( is dedicated to supporting people through their health challenges. We are a global biopharmaceutical company focused on human health. We prevent illness with vaccines, provide innovative treatments to fight pain and ease suffering. We stand by the few who suffer from rare diseases and the millions with long-term chronic conditions.
With more than 100,000 people in 100 countries, Sanofi is transforming scientific innovation into healthcare solutions around the globe. Discover more about us visiting or via our movie We are Sanofi ( an organization, we change the practice of medicine; reinvent the way we work; and enable people to be their best versions in career and life. We are constantly moving and growing, making sure our people grow with us. Our working environment helps us build a dynamic and inclusive workplace operating on trust and respect and allows employees to live the life they want to live.
All in for Diversity, Equity and Inclusion at Sanofi - YouTube (

Job title :

About the job

Our Team:

processes

Main responsibilities:

Sanofi is seeking a dedicated and detail-oriented Data Validation Team Member to join our team. The successful candidate will be responsible for ensuring the accuracy and quality of clinical data through comprehensive validation and quality control processes.

Key Responsibilities:

System and Data Collection: Understand system and data collection processes, including electronic Case Report Forms (eCRFs) in the Medidata RAVE (EDC) application.

Data Verification: Verify data for consistency and identify discrepancies.

Query Management: Raise and manage queries to resolve data issues.

User Acceptance Testing (UAT): Perform UAT for CRF changes and system updates, document findings, and assist with other tasks as needed.

Issue Log Management: Update issue logs with data issues and resolutions.

Metrics Creation: Create form entry and query metrics.

Metrics Tracking: Track eCRF review and backlog metrics.

Data Review: Review data listings produced in SAS, ad-hoc reporting, and scanned reports for accuracy.

Quality Control: Ensure quality control of all activities in-scope, as discussed and required by Sanofi.

Reconciliation: Perform data reconciliation to ensure data integrity.

Guideline Input: Provide input to Data Review Guidelines (DRG) and Quality Management & Control Plan.

Documentation: Draft project documents on an ad-hoc basis.

Training Facilitation: Facilitate training for new team members and create test cases.

People: (1) Seek alignment with internal stakeholders, and appropriate prioritization of Registry study data management activities, and compliance with approved processes; (2) Support team initiatives and objectives, identify and recommend process improvements and initiatives, and participate in company initiatives with the primary objective of adding value to the business

Performance: (1) Ensure that the data validation methods produce accurate and reliable results (2) Identify sources of data validity problems and implementing data-driven quality improvement processes; (3) Ensure operational excellence and compliance readiness.

Process: (1) Understand system and data collection processes, including electronic Case Report Forms (eCRFs) in the Medidata RAVE (EDC) application. (2) Verify data for consistency and identify discrepancies. (3) Raise and manage queries to resolve data issues. (4) Perform UAT for CRF changes and system updates, document findings, and assist with other tasks as needed. (5) Update issue logs with data issues and resolutions. (6) Create form entry and query metrics. (7) Track eCRF review and backlog metrics. (8) Review data listings produced in SAS, ad-hoc reporting, and scanned reports for accuracy. (9) Ensure quality control of all activities in-scope, as discussed, and required by Sanofi. (10) Perform data reconciliation to ensure data integrity. (11) Provide input to Data Review Guidelines (DRG) and Quality Management & Control Plan. (12) Draft project documents on an ad-hoc basis. (13) Facilitate training for new team members and create test cases.

Stakeholder: (1) Commit to Customers – Understand, meet, and excel internal and external customer expectations to create positive impact through the evolution of the Registry Data management function. (2) Cooperate Transversally – Collaborate effectively with peers, stakeholders, and partners across the organization to positively impact Registry study data management efficiency and execution.

About you

Experience : 3+ years of Experience with Medidata RAVE (EDC) application and SAS. Strong attention to detail and analytical skills. Excellent communication and documentation skills. Ability to work independently and as part of a team. Previous experience in a similar role within the pharmaceutical or clinical research industry. Familiarity with regulatory requirements and guidelines for clinical data management.

Soft skills : Excellent written and oral communication skills. Excellent organizational and project management skills, and ability to meet deadlines and stakeholder management. Ability to maintain confidentiality of data and information during interactions with staff at all levels and across studies and sponsors. Previous experience in a similar role within the pharmaceutical or clinical research industry. Familiarity with regulatory requirements and guidelines for clinical data management.

Technical skills : Proficiency in data management tools and software (e.g., SQL, SAS, R, Python) Understanding of data cleaning, transformation, and validation techniques. Familiarity with clinical data standards such as CDISC (Clinical Data Interchange Standards Consortium) and HL7 (Health Level Seven International). Knowledge of regulatory requirements and guidelines from bodies like the FDA and EMA.

Education : Degree in a scientific discipline or a related Life science degree with substantial experiences with data management of clinical trials. Efficiently managing multiple tasks and deadlines. Meticulous in reviewing data to ensure accuracy and completeness.

Languages : High Proficiency in written and spoken English.

Pursue progress, discover extraordinary.

Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.

Watch our and check out our Diversity Equity and Inclusion actions at !

Pursue , discover

Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.

Watch our and check out our Diversity Equity and Inclusion actions at !

Ready to shape the future of work? 

At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges. 

If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. 

Genpact (NYSE: G) is anadvanced technology services and solutions company that deliverslastingvalue for leading enterprisesglobally.Through ourdeep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead.Powered by curiosity, courage, and innovation,our teamsimplementdata, technology, and AItocreate tomorrow, today.Get to know us atgenpact.comand onLinkedIn,X,YouTube, andFacebook

Inviting applications for the role ofPrincipal Consultant – Testing Data Validation/QA Engineer

Responsibilities

• Skilled in crafting complex SQL queries and determining appropriate testing types.• Experience in database skills for data migration testing and test data creation.• Experience with Advanced Data platforms like SNOWFLAKE, AWS S3.• Hands-on experience in software testing, including API testing.• Familiarity with automated testing tools such as ICEDQ, Codecept JS, Playwright.• Define comprehensive test scenarios and acceptance criteria to validate data early in the development process.• Expertise in Test Planning, Test Design, and Test Execution.• Execute both manual and automated tests for new features and regression testing, supporting smooth feature releases.• Proficiency in Test management tools and methodologies, especially JIRA.

Qualifications we seek in you!

Minimum Qualifications

Experience in testing data validation scenarios and Data ingestion, pipelines, and transformation processes.

Why join Genpact? 

Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation 

Make an impact – Drive change for global enterprises and solve business challenges that matter 

Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities 

Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day 

Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress 

Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. 

Let’s build tomorrow together. 

Description

Risk Data Validation & Control (RDV&C) team is responsible for quality assurance activities in relation to critical, complex and technical risks and regulatory topics that affect Deutsche

We are looking for a highly skilled and experienced Data Testing Analyst with expertise in data validation, testing, and development to join our dynamic team. The ideal candidate will have extensive experience with Google Cloud Platform (GCP) and a proven track record in developing, validating, and testing robust data solutions.

Key Responsibilities:

- *Data Validation and Testing:*

- Develop and implement automated data validation and testing frameworks to ensure data accuracy, quality, and consistency across all stages of the data pipeline.

- Perform data quality checks, data profiling, and data cleansing to identify and resolve data discrepancies.

- Create and maintain comprehensive test cases, test plans, and test scripts for data validation.

- Experience on JIRA, Confluence, QTEST, ALM

Collaboration and Communication:

- Work closely with data scientists, data analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions.

- Collaborate with cross-functional teams to define data validation strategies and best practices.

Documentation and Reporting:

- Document data validation processes, testing methodologies, and results.

- Generate regular reports on data quality metrics and validation outcomes.

Technical Skills:

- Proficiency in GCP services, including BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Cloud Functions.

- Experience with data validation and testing tools and frameworks.

Experience:

- 3+ years of experience as a Data Engineer, with a focus on GCP.

- Proven experience in data validation, data quality assessment, and testing in a cloud environment.

- Strong development experience, including writing and maintaining code for data solutions.

Soft Skills:

- Excellent problem-solving and analytical skills.

- Strong communication and collaboration abilities.

- Attention to detail and a commitment to data accuracy.