2,044 Data Quality jobs in India

*** This is a Contract to Hire Position***

About the Role

We are seeking a highly skilled Data Quality & Data Intelligence Specialist with strong hands-on experience in Collibra DQ and DIP platforms. The role will be responsible for ensuring data integrity, accuracy, and consistency across financial datasets, enabling reliable KPI tracking and reporting. This position is critical in maintaining trust in the organizations financial reporting by profiling, monitoring, and improving data quality.

Key Responsibilities

• Conduct data analysis and profiling on large and complex datasets to ensure data integrity and consistency.
• Configure and apply data quality rules to identify anomalies, outliers, and inconsistencies.
• Utilize Collibra DQ and DIP tools for end-to-end data quality management and intelligence.
• Detect and report trends, shapes, and patterns in profiling results to support decision-making.
• Schedule and monitor DQ jobs for continuous data quality assurance.
• Write and optimize custom SQL queries for data validation, profiling, and reporting needs.
• Ensure alignment of data quality practices with financial KPIs and reporting requirements.
• Integrate Collibra DQ and DIP solutions into the broader data ecosystem to enhance trust and usability.
• Document processes, rules, and workflows to support governance and compliance.
• Collaborate with stakeholders to define and refine data quality KPIs, ensuring financial reporting accuracy.

Required Skills & Qualifications

• Proficiency in Collibra DQ & DIP with strong hands-on implementation experience.
• Certified Collibra Ranger (mandatory).
• Strong expertise in SQL for querying, profiling, and validating data.
• Ability to analyze large-scale datasets to detect anomalies, patterns, and trends.
• Strong analytical and problem-solving skills with a detail-oriented mindset.
• Experience in data integration and governance frameworks.
• Proven ability to work on financial datasets and KPI reporting environments.

Experience

• Minimum 5+ years of overall experience in Data Quality, Data Governance, or Data Intelligence.
• Prior experience working in financial services or financial KPI reporting projects is a plus.
• Demonstrated ability to work in an offshore delivery model with global stakeholders.

Why Join

• Opportunity to contribute to a strategic financial reporting program ensuring trusted insights.
• Hands-on exposure to the latest Collibra tools and frameworks.
• Collaborative and challenging environment focused on data governance excellence.

Role description

A Data Quality & Automation Engineer to take over and enhance existing automation frameworks and develop new ones for validating data migration and transformation across Oracle SQL Developer, SQL Server Management Studio (SSMS), and Databricks. The role involves working extensively with databases, Python automation, and SQL-based data validations to ensure data integrity during migration and post-migration processes across both batch and streaming pipelines

Skills

• Convert manual test cases in Azure DevOps into automated validation scripts using Python (VS Code).
• Design, implement, and optimize SQL validation queries to reconcile large datasets.
• Maintain and enhance existing Python-based validation framework for source-to-target system reconciliation across Oracle, SQL Server, and Databricks.
• Manage and execute scenario-based validations, including record counts, null checks, data accuracy, and validity rules, based on requirements.
• Implement cross-system data validation for both batch loads and streaming data flows.
• Automate execution flows, structured logging, exception handling, and result reporting in user-defined formats (CSV, text, dashboards).
• Debug and maintain framework scripts, environment setup (Oracle Instant Client, ODBC drivers), and resolve connectivity or runtime issues.
• Write and maintain unit tests and smoke tests for Python scripts and SQL queries to ensure stability.
• Collaborate with business and technical teams to define validation requirements, establish pass/fail conditions, and interpret results.
• Manage Git repositories, including branching strategies, merging, and version control best practices.

Other details

• Strong proficiency in Python (data handling, automation, error handling).
• Hands-on experience with Oracle Database, SQL Server (SSMS), and Databricks.
• Familiarity with database drivers: oracledb (Oracle) and pyodbc (SQL Server).
• Expertise in writing and optimizing SQL queries (joins, aggregations, CASE logic, exception handling).
• Experience managing Git repositories and collaborative development workflows.
• Knowledge of data validation frameworks and large-scale reconciliation strategies.
• Familiarity with data quality metrics: completeness, accuracy, consistency, timeliness, uniqueness.

• Ability to track and report defects, mismatches, and exceptions with clear root-cause analysis.

• Experience with cross-database reconciliation (Oracle, SQL Server, Databricks).

• Familiarity with Azure DevOps (creating tasks, test plans, and pipelines).
• Ability to design structured reporting and dashboards for test execution summaries.

About RCG Global Services

At Myridius, we transform the way businesses operate. Formerly known as RCG Global Services, our more than 50 years of expertise now drive a new vision—propelling organizations through the rapidly evolving landscapes of technology and business. We offer tailored solutions in AI, data analytics, digital engineering, and cloud innovation, addressing the unique challenges each industry faces. Our integration of cutting-edge technology with deep domain knowledge enables businesses to seize new opportunities, drive significant growth, and maintain a competitive edge in the global market. Our commitment is not just to meet expectations but to exceed them, ensuring measurable impact and fostering sustainable innovation. The success of Myridius is directly tied to the breakthroughs achieved by our clients. Together, we co-create solutions that not only solve today's challenges but also anticipate future trends. At Myridius, we go beyond typical service delivery. We craft transformative outcomes that help businesses not just adapt, but thrive in a world of continuous change. Discover how Myridius can elevate your business to new heights of innovation. Visit us at and start leading the change.

VAM Systems

is a Business Consulting, IT Solutions and Services company.

VAM Systems

is currently looking for
Data Quality / Data Governance specialist

for our
Bahrain

operations with the following skillsets & terms and conditions:

Education

• Minimum bachelor's degree in engineering, MSC in Data & Analytics, or relevant discipline.

Experience

• Minimum of 5-year experience in banking or financial services.

Skills

• Data Governance & Management: Expertise in data governance processes, including Master Data Management (MDM), Reference Data Management, Data Profiling, and Data Quality (DQ) rules, with over 4 years of experience.

• Data Quality & Risk Mitigation: Proficient in identifying, assessing, monitoring, and mitigating Data Quality issues and risks.

• Data Quality Frameworks: Extensive experience in defining and implementing Data Quality Management Frameworks, processes, policies, and standards within business organizations.

• Quantitative Data Analysis: Advanced skills in quantitative data analysis, drawing insights from data quality reports, dashboards in Power BI and Tableau, and raw data sets using SQL , SAS, Oracle SQL.

• Banking & Financial Data: In-depth understanding of Banking and Financial products, associated data, and regulatory reporting requirements.

• Project Management: very good understanding of project management imperatives and adherence to the processes.

• Organizational & Communication Skills: Simplifying complex information and effectively communicating it to both IT and business users.

• Cloud services: AWS services including Amazon Glue, Glue catalogue, Aws Step function, AWS Athena, and S3.

Responsibilities

• Performed data profiling and quality assessments across different departments and systems to uncover data inconsistencies, duplication, and integrity issues.

• Defined and documented Critical Data Elements (CDEs) in collaboration with business, compliance, risk, IT teams, etc. ensuring alignment with business needs and regulatory requirements.

• Partnered with stakeholders from IT, Operations, and Compliance to conduct root cause analysis of identified data quality (DQ) issues, define DQ rules, and support scalable remediation strategies.

• Contributed to the implementation of MDM and RDM solutions to ensure consistent and unified customer and financial reference data across business lines.

• Built dynamic Power BI dashboards for senior management, presenting data quality scores, issue trends, and remediation progress by business unit, with drilldowns for recurring root causes.

• Contributed to bulk data cleansing initiatives using authoritative external government datasets to validate and enrich customer and account data, enhancing quality for both regulatory and business reporting.

• Authored comprehensive Business Requirement Documents (BRDs) for data quality remediation projects.

• Initiated data cataloguing practices in Microsoft Purview, enabling improved metadata management

Terms and conditions

Joining time frame: days)

The selected candidates shall join VAM Systems – Bahrain and shall be deputed to one of the leading
Banks
in Bahrain.

Should you be interested in this opportunity, please send your latest resume at the earliest

• Data Quality Strategy and Implementation:

• Engage with clients to understand their data quality requirements and business goals.

• Develop and implement data quality frameworks and solutions using tool such as Collibra and IDMC.
• Provide expert advice on industry best practices and emerging trends in data quality management.

• Tool Expertise:

• Utilize DQ tools such as Collibra, Talend, IDMC, etc. to manage and enhance data quality processes.

• Configure and customize Collibra workflows and IDMC data management solutions to meet specific client needs.
• Ensure seamless integration of data quality tools with existing data governance systems.

• Monitoring and Continuous Improvement:

• Establish data quality metrics and KPIs to assess effectiveness and drive continuous improvement.

• Conduct regular audits and assessments to ensure data quality standards are maintained.
• Facilitate workshops and training sessions to promote data quality awareness and best practices.

• Collaboration and Leadership:

• Work collaboratively with data architects, data analysts, IT, legal, and compliance teams to integrate data quality into broader data management initiatives.

• Mentor and guide junior team members, fostering a culture of knowledge sharing and professional growth.

About us:
AIM is a global community that is driving data driven transformation across Citi in multiple functions with the objective to create actionable intelligence for our business leaders. We are a fast growing organization working with Citi businesses and functions across the world.

What do we offer:
DQM team manages the implementation of best in class data quality measurement programs for US region, retail consumer bank. The critical areas we support:

• Regulatory Support: Execution of business data quality measurements as per regulatory programs like CCAR, AML etc
• DQ rules Design: Identification of critical data elements in different systems, data quality rules design, testing and validation of rules
• Data Governance: Standardization of data definitions and ensuring consistency in measurement as per definitions across systems/products/regions
• DQ Score cards : Publishing monthly/quarterly score cards at product level and preparing executive summary reports for senior management
• Issue Management: Identifying defects and investigating root causes for different issues. Following up with stakeholders for resolution as per SLA
• Audit Support: Identifying cases on control gaps, policy breaches and providing data evidence for audit completion

Expertise Required:
Analytical Skills

• Data analysis and visualization
• Proficient in formulating analytical methodology, identifying trends and patterns with data
• Generate actionable Business Insights

(Preferred) -
Tools and Platforms

• Proficient in SAS, SQL
• Proficient in MS Excel, PowerPoint

Domain Skills
Good understanding of

• Data definitions and data discovery
• Data quality framework
• Data Governance
• Data Warehouse Knowledge

(Preferred)
- Knowledge of Finance Regulations, Understanding or Retail Business

Soft Skills

• Ability to identify, clearly articulate and solve complex business problems and present them to the management in a structured and simpler form
• Should have excellent communication and inter-personal skills
• Good process management skills
• Ability to work in teams

Educational and Experience:

• MBA / Mathematics / Information Technology / Computer Applications / Engineering from a premier institute. BTech / B.E in Information Technology / Information Systems / Computer Applications
• (Preferred) Post Graduate in – Computer Science, Mathematics, Operations Research, Econometrics, Management Science and related fields
• 2 to 5 years of hands on experience in delivering data quality solutions, with at least 1 year experience in Banking Industry

Job Family Group:
Decision Management

Job Family:
Data/Information Management

Time Type:
Full time

Most Relevant Skills
Please see the requirements listed above.

Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review
Accessibility at Citi.
View Citi's EEO Policy Statement and the Know Your Rights poster.

• Experience:6+Yrs
• Mandatory Skills: Data management, Microsoft purview, Data governance
• Location: Bangalore

About the Role

This is a position in Data Quality Lead to take ownership of data quality initiatives across the organization. This role is essential in ensuring enterprise data is accurate, consistent, and reliablesupporting data-driven decision-making and operational excellence.

The successful candidate will assess the current state of data quality, define and execute improvement goals, and lead the implementation of governance and monitoring frameworks. You will collaborate across business and IT teams to embed quality controls, optimize data transformation, and enable scalable data processes aligned with business objectives.

What You Will Do

• Assess current data quality conditions and define measurable improvement targets across business domains.
• Lead Data Quality Management and Transformation efforts including standardization, governance, and automation of critical data elements.
• Establish and manage frameworks for data cleansing, profiling, and rule-based validation.
• Define and track data quality metrics using dashboards, scorecards, and audit processes to benchmark and improve performance.
• Ensure the availability and effective use of Data Quality tools and platforms such as SAP Data Services, SAP Information Steward, and Microsoft Purview to monitor and enhance data quality.
• Recommend and implement strategies to remediate data quality issues, ensuring solutions align with business goals and compliance requirements.
• Collaborate with business leadership and key stakeholders to communicate the value of data quality improvements in business terms.
• Drive a data-quality-first mindset by leading cross-functional collaboration between business units, IT teams, and data governance stakeholders.
• Escalate unresolved or cross-functional data quality issues to appropriate business or governance leaders.
• Participate in the design and deployment of systems and data integration processes to ensure quality standards and controls are embedded early.
• Lead and support data quality improvement projects using structured methodologies, including resource planning and business process redesign.
• Promote success stories and positive outcomes to build momentum and engagement across the organization.

What You Need to Be Successful

• Bachelors degree in business, Finance, Information Technology, or a related fieldor equivalent work experience.
• Minimum of 5 years of experience in data governance, data quality, or master data management.
• Proven ability to design and implement enterprise-wide data quality frameworks and scalable processes.
• Strong relationship-building and communication skills with the ability to work across a matrixed environment.
• Experience managing complex projects with structured methodologies and tools for tracking and reporting progress.