29 Data Quality jobs in Delhi

Experience 10+ Years of experience

Notice Period - Immediate to 30 Days

Location : Comfortable working for Delhi location

What impact will you make?

Every day, your work will make an impact that matters, while you thrive in a dynamic culture of inclusion, collaboration and high performance. As the undisputed leader in professional services, Deloitte is where you’ll find unrivaled opportunities to succeed and realize your full potential

Deloitte is where you’ll find unrivaled opportunities to succeed and realize your full potential.

The Team

Deloitte Digital is passionate and focused on helping clients tackle their most complex challenges. Learn how we help clients innovate, improve user experience, and maximize the value from customer operations by harnessing the breadth and depth of our digital capabilities.

Minimum Experience and Qualifications:

1. BE/MCA/ME degree in Computer Science, Information Technology, or a related field.
2. Proven minimum 10 years of work experience in MDM, data quality, and data governance, with a deep understanding of best practices and industry standards.
3. Strong knowledge of data governance frameworks, concepts, and principles.
4. Experience with MDM solutions and data quality tools such as Informatica Power Centre/ Informatica Data Quality (IDQ) or similar platforms.
5. Proficiency in data analysis, data profiling, and data cleansing techniques.
6. Excellent communication skills and the ability to collaborate with cross-functional teams.
7. Strong problem-solving skills and the ability to identify, analyze, and resolve complex data issues.
8. Familiarity with regulatory compliance standards (e.g., GDPR, HIPAA, etc.) related to data governance and quality.

Roles and Responsibilities:

1. Develop, implement, and manage Master Data Management (MDM) strategies and initiatives to ensure consistent and accurate data across the organization.
2. Establish and enforce data governance policies, procedures, and standards to maintain data integrity and quality.
3. Collaborate with stakeholders to define data quality standards, guidelines, and metrics, and implement data quality improvements.
4. Design and implement data quality assessment and profiling processes, resolving data issues and ensuring compliance with regulatory requirements.
5. Lead efforts to identify, analyze, and resolve data quality issues within various data sources and systems.
6. Monitor and audit data quality, conducting regular quality checks and assessments to ensure adherence to standards.
7. Collaborate with cross-functional teams to align MDM, data quality, and governance initiatives with business objectives.
8. Provide guidance and support to internal teams in understanding and adhering to data governance and quality standards.
9. Evaluate, select, and implement data quality tools and technologies to support data governance and MDM initiatives.

Experience 10+ Years of experience

Notice Period - Immediate to 30 Days

Location : Comfortable working for Delhi location

What impact will you make?

Every day, your work will make an impact that matters, while you thrive in a dynamic culture of inclusion, collaboration and high performance. As the undisputed leader in professional services, Deloitte is where you’ll find unrivaled opportunities to succeed and realize your full potential

Deloitte is where you’ll find unrivaled opportunities to succeed and realize your full potential.

The Team

Deloitte Digital is passionate and focused on helping clients tackle their most complex challenges. Learn how we help clients innovate, improve user experience, and maximize the value from customer operations by harnessing the breadth and depth of our digital capabilities.

Minimum Experience and Qualifications:

• BE/MCA/ME degree in Computer Science, Information Technology, or a related field.
• Proven minimum 10 years of work experience in MDM, data quality, and data governance, with a deep understanding of best practices and industry standards.
• Strong knowledge of data governance frameworks, concepts, and principles.
• Experience with MDM solutions and data quality tools such as Informatica Power Centre/ Informatica Data Quality (IDQ) or similar platforms.
• Proficiency in data analysis, data profiling, and data cleansing techniques.
• Excellent communication skills and the ability to collaborate with cross-functional teams.
• Strong problem-solving skills and the ability to identify, analyze, and resolve complex data issues.
• Familiarity with regulatory compliance standards (e.g., GDPR, HIPAA, etc.) related to data governance and quality.

Roles and Responsibilities:

• Develop, implement, and manage Master Data Management (MDM) strategies and initiatives to ensure consistent and accurate data across the organization.
• Establish and enforce data governance policies, procedures, and standards to maintain data integrity and quality.
• Collaborate with stakeholders to define data quality standards, guidelines, and metrics, and implement data quality improvements.
• Design and implement data quality assessment and profiling processes, resolving data issues and ensuring compliance with regulatory requirements.
• Lead efforts to identify, analyze, and resolve data quality issues within various data sources and systems.
• Monitor and audit data quality, conducting regular quality checks and assessments to ensure adherence to standards.
• Collaborate with cross-functional teams to align MDM, data quality, and governance initiatives with business objectives.
• Provide guidance and support to internal teams in understanding and adhering to data governance and quality standards.
• Evaluate, select, and implement data quality tools and technologies to support data governance and MDM initiatives.

Title: Data QA Manager(data quality assurance)

Location: 100% Remote

Job Type: Fulltime

Job Description

Data QA Manager to join our dynamic and Innovative Technology team. As a Data QA Manager, you will take on a leadership role within the Quality Assurance (QA) team, specializing in data quality assurance for software applications. A Data QA Manager is responsible for leading and managing the data quality assurance efforts within an organization. In this role, you will work on one or more software and data products in the Annalect Engineering Team. You will participate in technical architecture, design and development of software products as well as research and evaluation of new technical solutions.

Key Responsibilities:

• Develop and implement a comprehensive data quality strategy aligned with organizational objectives.

• Define standards and best practices for data quality assurance processes.

• Lead efforts to profile and analyze data across systems to identify issues related to accuracy, completeness, consistency, and timeliness.

• Establish and enforce data quality assurance processes, including data validation, cleansing, and monitoring.

• Design and implement data quality checks and controls.

• Define key performance indicators (KPIs) to measure data quality.

• Generate regular reports on data quality metrics and trends for stakeholders.

• Maintain documentation on data quality issues, resolutions, and improvements.

• Lead and mentor a team of data quality analysts or engineers.

• Provide guidance on data quality best practices and ensure the team's professional development.

• Maintain comprehensive documentation of data quality procedures, processes, and standards.

• Provide training to teams involved in data-related activities to promote a data quality mindset.

• Collaborate with the Data Delivery technology teams and architects to define and develop solutions

• Gather business requirements for the building of the Data Quality Dashboard that will include the full set of functionalities from exception identification to remediation

Required Skills

• 10+ Years of Experience in Data Test Automation, Data Comparison and Validation.

• Strong understanding of data structures, databases, DB Procedures, Packages, and Functions. and data manipulation techniques,

• Familiarity with data quality tools and platforms for profiling, cleansing, and monitoring data.

• Proficient in SQL and scripting languages for data analysis and validation.

• Working experience with Python libraries such as Pandas, NumPy, and SQL Alchemy for ETL

• Strong analytical skills to identify and solve data quality issues.

• Excellent communication skills to interact with cross-functional teams and stakeholders.

• Leadership skills to guide and inspire a team focused on data quality.

• Strong understanding of Data Warehouse/Data Lake Architecture and Development

• Experience with data pipeline and workflow management tools

• Experience in project management, including planning, execution, and monitoring of data quality initiatives.

• Experience with AWS cloud services: EC2, EMR, RDS, Redshift

• Experience in SQL injection, and query performance (Athena), Machine Learning

• Must have CI/CD, bit bucket/git knowledge

• Excellent interpersonal and communication skills.

• Familiarity with online retail (e-commerce)

Nice to have Skills

• Familiarity with big data technologies like Hadoop, Spark, and NoSQL databases can be beneficial

• Proficiency in data visualization tools (e.g., Tableau, Power BI)

• Awareness of data security principles and practices to ensure that data quality initiatives also align with data security requirements.

• Understanding machine learning concepts and how they can be applied to identify and predict data quality issues can be advantageous.

• Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services can be an asset

• Experience working in an ecommerce company like Amazon, Flipcart,Myntra etc.

Thanks

Aatmesh

Title: Data QA Manager(data quality assurance)

Location: 100% Remote

Job Type: Fulltime

Job Description

Data QA Manager to join our dynamic and Innovative Technology team. As a Data QA Manager, you will take on a leadership role within the Quality Assurance (QA) team, specializing in data quality assurance for software applications. A Data QA Manager is responsible for leading and managing the data quality assurance efforts within an organization. In this role, you will work on one or more software and data products in the Annalect Engineering Team. You will participate in technical architecture, design and development of software products as well as research and evaluation of new technical solutions.

Key Responsibilities:

• Develop and implement a comprehensive data quality strategy aligned with organizational objectives.

• Define standards and best practices for data quality assurance processes.

• Lead efforts to profile and analyze data across systems to identify issues related to accuracy, completeness, consistency, and timeliness.

• Establish and enforce data quality assurance processes, including data validation, cleansing, and monitoring.

• Design and implement data quality checks and controls.

• Define key performance indicators (KPIs) to measure data quality.

• Generate regular reports on data quality metrics and trends for stakeholders.

• Maintain documentation on data quality issues, resolutions, and improvements.

• Lead and mentor a team of data quality analysts or engineers.

• Provide guidance on data quality best practices and ensure the team's professional development.

• Maintain comprehensive documentation of data quality procedures, processes, and standards.

• Provide training to teams involved in data-related activities to promote a data quality mindset.

• Collaborate with the Data Delivery technology teams and architects to define and develop solutions

• Gather business requirements for the building of the Data Quality Dashboard that will include the full set of functionalities from exception identification to remediation

Required Skills

• 10+ Years of Experience in Data Test Automation, Data Comparison and Validation.

• Strong understanding of data structures, databases, DB Procedures, Packages, and Functions. and data manipulation techniques,

• Familiarity with data quality tools and platforms for profiling, cleansing, and monitoring data.

• Proficient in SQL and scripting languages for data analysis and validation.

• Working experience with Python libraries such as Pandas, NumPy, and SQL Alchemy for ETL

• Strong analytical skills to identify and solve data quality issues.

• Excellent communication skills to interact with cross-functional teams and stakeholders.

• Leadership skills to guide and inspire a team focused on data quality.

• Strong understanding of Data Warehouse/Data Lake Architecture and Development

• Experience with data pipeline and workflow management tools

• Experience in project management, including planning, execution, and monitoring of data quality initiatives.

• Experience with AWS cloud services: EC2, EMR, RDS, Redshift

• Experience in SQL injection, and query performance (Athena), Machine Learning

• Must have CI/CD, bit bucket/git knowledge

• Excellent interpersonal and communication skills.

• Familiarity with online retail (e-commerce)

Nice to have Skills

• Familiarity with big data technologies like Hadoop, Spark, and NoSQL databases can be beneficial

• Proficiency in data visualization tools (e.g., Tableau, Power BI)

• Awareness of data security principles and practices to ensure that data quality initiatives also align with data security requirements.

• Understanding machine learning concepts and how they can be applied to identify and predict data quality issues can be advantageous.

• Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services can be an asset

• Experience working in an ecommerce company like Amazon, Flipcart,Myntra etc.

Thanks

Aatmesh

Title: Data QA Manager(data quality assurance)

Location: 100% Remote

Job Type: Fulltime

Job Description

Data QA Manager to join our dynamic and Innovative Technology team. As a Data QA Manager, you will take on a leadership role within the Quality Assurance (QA) team, specializing in data quality assurance for software applications. A Data QA Manager is responsible for leading and managing the data quality assurance efforts within an organization. In this role, you will work on one or more software and data products in the Annalect Engineering Team. You will participate in technical architecture, design and development of software products as well as research and evaluation of new technical solutions.

Key Responsibilities:

• Develop and implement a comprehensive data quality strategy aligned with organizational objectives.

• Define standards and best practices for data quality assurance processes.

• Lead efforts to profile and analyze data across systems to identify issues related to accuracy, completeness, consistency, and timeliness.

• Establish and enforce data quality assurance processes, including data validation, cleansing, and monitoring.

• Design and implement data quality checks and controls.

• Define key performance indicators (KPIs) to measure data quality.

• Generate regular reports on data quality metrics and trends for stakeholders.

• Maintain documentation on data quality issues, resolutions, and improvements.

• Lead and mentor a team of data quality analysts or engineers.

• Provide guidance on data quality best practices and ensure the team's professional development.

• Maintain comprehensive documentation of data quality procedures, processes, and standards.

• Provide training to teams involved in data-related activities to promote a data quality mindset.

• Collaborate with the Data Delivery technology teams and architects to define and develop solutions

• Gather business requirements for the building of the Data Quality Dashboard that will include the full set of functionalities from exception identification to remediation

Required Skills

• 10+ Years of Experience in Data Test Automation, Data Comparison and Validation.

• Strong understanding of data structures, databases, DB Procedures, Packages, and Functions. and data manipulation techniques,

• Familiarity with data quality tools and platforms for profiling, cleansing, and monitoring data.

• Proficient in SQL and scripting languages for data analysis and validation.

• Working experience with Python libraries such as Pandas, NumPy, and SQL Alchemy for ETL

• Strong analytical skills to identify and solve data quality issues.

• Excellent communication skills to interact with cross-functional teams and stakeholders.

• Leadership skills to guide and inspire a team focused on data quality.

• Strong understanding of Data Warehouse/Data Lake Architecture and Development

• Experience with data pipeline and workflow management tools

• Experience in project management, including planning, execution, and monitoring of data quality initiatives.

• Experience with AWS cloud services: EC2, EMR, RDS, Redshift

• Experience in SQL injection, and query performance (Athena), Machine Learning

• Must have CI/CD, bit bucket/git knowledge

• Excellent interpersonal and communication skills.

• Familiarity with online retail (e-commerce)

Nice to have Skills

• Familiarity with big data technologies like Hadoop, Spark, and NoSQL databases can be beneficial

• Proficiency in data visualization tools (e.g., Tableau, Power BI)

• Awareness of data security principles and practices to ensure that data quality initiatives also align with data security requirements.

• Understanding machine learning concepts and how they can be applied to identify and predict data quality issues can be advantageous.

• Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services can be an asset

• Experience working in an ecommerce company like Amazon, Flipcart,Myntra etc.

Thanks

Aatmesh

Job Title: Visual Design Evaluator – AI/LLM Training Data Quality

Location: Remote

About the Role

We are seeking meticulous and creatively attuned Visual Design Evaluators to contribute to the training and refinement of large language models (LLMs). In this role, you will assess the quality of visual content data and provide expert-level feedback based on established criteria. Your evaluations will directly influence how AI systems understand and generate visual design-related outputs.

Key Responsibilities

• Evaluate and Review: Critically assess visual design tasks and outputs based on internal guidelines.
• Quality Assurance: Ensure submitted data and responses align with principles of high-quality design and AI training standards.
• Apply Design Knowledge: Leverage a deep understanding of design elements such as hierarchy, contrast, balance, proximity, alignment, repetition, and unity.

Required Qualifications

• Strong grasp of visual design principles and fundamentals.
• Demonstrated ability to spot nuanced visual inconsistencies and apply design theory in practical assessments.
• Excellent attention to detail and a critical, analytical eye for creative work.
• Ability to internalize guidelines and apply them consistently across multiple tasks.

Preferred Backgrounds

Candidates with prior training, education, or work experience in the following fields are strongly encouraged to apply:

• Graphic Design (priority requirement)
• Photography
• Advertising Design
• Motion Design / Animation
• Visual Effects (VFX)
• Post-Production
• Computer-Generated Imagery (CGI)
• Formal Design Education (Design schools or specialized visual arts programs)

Who You Are

• A highly visual thinker with a passion for creative excellence.
• Someone who thrives on structured evaluation and precision.
• An individual eager to contribute to the responsible development of next-generation AI tools.

Why Join Us

• Impact: Help shape how AI understands and generates visual content.
• Collaboration: Join a team of designers, evaluators, and researchers at the cutting edge of AI.

Job Title: Visual Design Evaluator – AI/LLM Training Data Quality

Location: Remote

About the Role

We are seeking meticulous and creatively attuned Visual Design Evaluators to contribute to the training and refinement of large language models (LLMs). In this role, you will assess the quality of visual content data and provide expert-level feedback based on established criteria. Your evaluations will directly influence how AI systems understand and generate visual design-related outputs.

Key Responsibilities

• Evaluate and Review: Critically assess visual design tasks and outputs based on internal guidelines.
• Quality Assurance: Ensure submitted data and responses align with principles of high-quality design and AI training standards.
• Apply Design Knowledge: Leverage a deep understanding of design elements such as hierarchy, contrast, balance, proximity, alignment, repetition, and unity.

Required Qualifications

• Strong grasp of visual design principles and fundamentals.
• Demonstrated ability to spot nuanced visual inconsistencies and apply design theory in practical assessments.
• Excellent attention to detail and a critical, analytical eye for creative work.
• Ability to internalize guidelines and apply them consistently across multiple tasks.

Preferred Backgrounds

Candidates with prior training, education, or work experience in the following fields are strongly encouraged to apply:

• Graphic Design (priority requirement)
• Photography
• Advertising Design
• Motion Design / Animation
• Visual Effects (VFX)
• Post-Production
• Computer-Generated Imagery (CGI)
• Formal Design Education (Design schools or specialized visual arts programs)

Who You Are

• A highly visual thinker with a passion for creative excellence.
• Someone who thrives on structured evaluation and precision.
• An individual eager to contribute to the responsible development of next-generation AI tools.

Why Join Us

• Impact: Help shape how AI understands and generates visual content.
• Collaboration: Join a team of designers, evaluators, and researchers at the cutting edge of AI.

Job Title: Visual Design Evaluator – AI/LLM Training Data Quality

Location: Remote

About the Role

We are seeking meticulous and creatively attuned Visual Design Evaluators to contribute to the training and refinement of large language models (LLMs). In this role, you will assess the quality of visual content data and provide expert-level feedback based on established criteria. Your evaluations will directly influence how AI systems understand and generate visual design-related outputs.

Key Responsibilities

• Evaluate and Review: Critically assess visual design tasks and outputs based on internal guidelines.
• Quality Assurance: Ensure submitted data and responses align with principles of high-quality design and AI training standards.
• Apply Design Knowledge: Leverage a deep understanding of design elements such as hierarchy, contrast, balance, proximity, alignment, repetition, and unity.

Required Qualifications

• Strong grasp of visual design principles and fundamentals.
• Demonstrated ability to spot nuanced visual inconsistencies and apply design theory in practical assessments.
• Excellent attention to detail and a critical, analytical eye for creative work.
• Ability to internalize guidelines and apply them consistently across multiple tasks.

Preferred Backgrounds

Candidates with prior training, education, or work experience in the following fields are strongly encouraged to apply:

• Graphic Design (priority requirement)
• Photography
• Advertising Design
• Motion Design / Animation
• Visual Effects (VFX)
• Post-Production
• Computer-Generated Imagery (CGI)
• Formal Design Education (Design schools or specialized visual arts programs)

Who You Are

• A highly visual thinker with a passion for creative excellence.
• Someone who thrives on structured evaluation and precision.
• An individual eager to contribute to the responsible development of next-generation AI tools.

Why Join Us

• Impact: Help shape how AI understands and generates visual content.
• Collaboration: Join a team of designers, evaluators, and researchers at the cutting edge of AI.

Volga Partners, a U.S.-based company, specializes in Artificial Intelligence and machine learning, catering to top technology giants and multinational corporations. Beyond that, we offer a spectrum of services including IT, business process outsourcing, advanced professional services, and crowdsourcing in both established and emerging markets.

Our client is seeking candidates interested in Freelance/Task-based work for an ongoing project. The hours will align with the IST time zone.

PLEASE REVIEW THE MANDATORY REQUIREMENT BEFORE APPLYING:

• Must be able to read and write in Marathi AND English.
• Must be comfortable and understand this is a task-based role.

Task-Based Project Scope

This is a freelance, task-based role designed for those seeking supplemental income. It’s essential to understand the nature of freelance work—tasks will be assigned as they become available, and work may be irregular or intermittent. Notifications will be sent via WhatsApp, email, or Slack (after onboarding through the client’s portal). All tasks are offered on a first-come, first-served basis, making this role ideal for individuals who are comfortable with flexible, on-demand work.

Mandatory Requirements

Must have reliable high-speed internet and a functioning device (laptop, desktop, etc.) to ensure seamless communication and productivity.

Urgency : Due to the nature of the role, it is essential that all candidates have these resources in place from day one to avoid any delays in onboarding or task completion.

POSITION

• We are looking for a Language Data and Quality Reviewer with proficiency in Marathi to join our team. Candidates located in India are strongly encouraged to apply.
• This role is critical in researching and analyzing data for various entities, tools, and datasets that will be introduced through on-the-job training. The ideal candidate should have a background in technology, with strong logical and analytical skills to assess data and provide valuable insights.
• While prior experience in similar roles is beneficial, we encourage candidates with some experience in data analysis, quality assurance, or related fields to apply, especially those looking to grow their skills in a global, dynamic work environment.

Key Responsibilities

• Data Interpretation: Analyze datasets, translating raw data into actionable insights that can support business improvement strategies.
• Data Manipulation: Handle data batches, apply labeling techniques, and manipulate data according to project requirements, ensuring high accuracy.
• Quality Assurance: Oversee the quality of training data, identify issues or anomalies, and implement corrective measures to maintain data integrity.
• Language Translations: Provide translations and contextual understanding where necessary to ensure data is aligned with language and cultural nuances.
• Recommendations: Offer suggestions aimed at improving business processes and outcomes based on your data analysis.

Desired Qualifications

• Some experience in data labeling, manipulation, or quality assurance, particularly in technology or related fields.
• A proactive attitude towards continuous improvement, staying updated with new advancements in AI technologies and data analysis techniques.
• Logical and analytical skills to ensure data accuracy and support project goals.

Required Skills

• Proficient in both English and Marathi.
• Excellent logical reasoning and analytical skills, with the ability to interpret complex datasets and derive meaningful insights.
• Experience with data labeling and manipulation techniques, ensuring accuracy and reliability in data processing.
• Strong attention to detail and a proactive approach to identifying and addressing data quality issues.

Required Qualifications

• Proficiency (reading, writing, and/or speaking) in both English and Marathi.
• Strong computer skills, particularly in typing and writing.
• Meticulous attention to detail.
• Proactive attitude with a commitment to fostering positive experiences for others.
• If you are certified as a Linguist, it is considered a plus!

Interview Process

• Submissions are reviewed by a recruiter.
• Selected candidates will be invited to complete an Applicant Response Form and may be invited to a first and final interview.

Additional Requirements

• Must have own device (laptop/desktop).
• Currently hiring for Freelance/Task-based (ranging from 0 to 20 hours a week!).
• Candidate must be available in IST (preferred 8am IST onwards).
• Must have access to good Wi-Fi connection during working hours.
• This role is a 1099 independent contractor position.
• Please note that this classification may vary based on your location and local regulations.
• For most candidates outside of the US, a W-8 BEN form is provided.

Onboarding & Compliance Requirements

• All global contractors will be onboarded through our platform, Deel.com, to ensure alignment with international compliance standards.
• Successful completion of onboarding is required to begin work, which includes submitting the necessary documentation within the specified timeline.
• Candidates should be prepared to provide accurate and compliant documents according to the requirements of their region.

Compensation

USD $3.00 to $4.00 per hour

This is an exciting opportunity for a remote freelance position! Please kindly note that hours are dependent on the volume of tasks given by the client. Perfect for a supplemental income opportunity.

We look forward to receiving your application!