2,603 Data Quality jobs in India
Data Quality Analyst
Posted 4 days ago
Job Viewed
Job Description
Responsibilities:
Partners with business teams to develop process improvements, solutions, and streamline operational workflows
Applies professional judgment and attention to detail when interpreting data and results based on the analysis of information
May occasionally provide informal guidance or on the job training to new or lower-level team members
Communicates with tact and diplomacy to exchange potentially complex/sensitive information with project stake holders or internal parties
Works and coordinates with a multidisciplinary group of business leads, operations managers, and technologists
Conduct root cause analysis and dispositioning of data quality scorecard exceptions
Report Data Quality issues through the Data Concern Remediation Management process
Defines detailed business data requirements and documenting them
Appropriately assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable rules, laws, and regulations, adhering to Policy, applying sound ethical judgement regarding personal behaviour, conduct and business practices, and escalating managing and reporting control issues with transparency
**Qualifications:**
+ 5+ years' Experience with defining and implementing Data Quality programs; Banking or Finance industry preferred
+ Proficient in the use of basic Microsoft applications (Word, Excel, PowerPoint)
+ Strong analytical skills and attention to detail
+ Working knowledge of Collibra and other Data Governance industry standard tools
+ Working knowledge of Tableau (report consumer, developer, etc.)
+ Demonstrated understanding of Database structures
+ Flexible, team-oriented and have good interpersonal skills
+ Ability to work independently and as part of a team
+ Excellent written and verbal communication skills
Education:
Bachelor's/University degree or equivalent experience
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**Job Family Group:**
Data Governance
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**Job Family:**
Data Quality & Data Quality Analytics and Reporting
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**Time Type:**
Full time
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**Most Relevant Skills**
Change Management, Data Analysis, Data Governance, Data Lineage, Data Management, Data Quality, Internal Controls, Management Reporting, Program Management, Risk Management.
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**Other Relevant Skills**
Data Quality Management.
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_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._
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.
Data Quality Analyst
Posted 8 days ago
Job Viewed
Job Description
You will be part of Enterprise Data & Analytics team responsible for identifying analytical needs, exploring new technologies, and applying data sciences/machine learning concepts to maximize value from data assets. Data Engineer will work closely with key stakeholders both IT and Business to turn data into critical information and knowledge that can be used to make sound business decisions. The individual must have an in-depth understanding of the business environment, an interest in going beyond the obvious, aptitude for new tools/technologies, and obsession for customer successary
**Job Requirements**
**Long Description**
+ Organize, lead, and facilitate multiple teams on highly complex, cross-functional, enterprise data and analytics initiatives
+ Develop and maintain scalable data pipelines and build out new integrations to support continuing increases in demand for various types of data
+ Collaborate with key stakeholders to define KPI and build data metrics to measure KPI's
+ Partner with business in data analysis (small and big) and demonstrate good judgment in solving problems as well as proactively identifying and resolving data issues
+ Explores enterprise data and discovers patterns, meaningful relationships, anomalies and trends to generate actionable insights
**Job Requirements**
+ Must possess strong subject matter expertise in at least two domains of Sales, Marketing, Install Base, Finance, and Customer Support areas.
+ Demonstrated ability to have completed multiple, complex technical projects
+ Data modelling experience in Enterprise Data Warehouse, DataMart and ETL tools like IICS, Snowflake(Snowtasks)
+ Hands-on experience in SQL, XML, SSL, RESTful APIs, and other related standards.
+ Hands-on emphasis with a proven track record of building and evaluating data pipes, and delivering systems for final production.
+ Prefer having working knowledge in any reporting tools like PBI (DAX, security, model creation), Tableau .
+ Experience with various data systems like Oracle Data Warehouse, Snowflake.
+ Strong understanding devops, on-premise, and cloud deployments - AWS, Google, Azure
+ Strong written and verbal communication skills
+ Excellent problem solving and troubleshooting skills
**Education**
A minimum of 3-5 years of experience with Bachelor of Science Degree in Computer Science, Management Information Systems, or Business, or related field is required
At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.
**Equal Opportunity Employer:**
NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, and any protected classification.
**Why NetApp?**
We are all about helping customers turn challenges into business opportunity. It starts with bringing new thinking to age-old problems, like how to use data most effectively to run better - but also to innovate. We tailor our approach to the customer's unique needs with a combination of fresh thinking and proven approaches.
We enable a healthy work-life balance. Our volunteer time off program is best in class, offering employees 40 hours of paid time off each year to volunteer with their favourite organizations. We provide comprehensive benefits, including health care, life and accident plans, emotional support resources for you and your family, legal services, and financial savings programs to help you plan for your future. We support professional and personal growth through educational assistance and provide access to various discounts and perks to enhance your overall quality of life.
If you want to help us build knowledge and solve big problems, let's talk.
Data Quality Lead
Posted 23 days ago
Job Viewed
Job Description
Amgen harnesses the best of biology and technology to fight the world's toughest diseases, and make people's lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what's known today.
**ABOUT THE ROLE**
**Role Description:**
The Data Quality Lead will be responsible for defining, operationalizing, and monitoring data quality capabilities to increase the quality and trust of data across Amgen. This role will be responsible for delivering strategic and tactical data quality and stewardship services. This is a vital role to support Amgen's aspirations for a FAIR data ecosystem that conforms with business needs.
This role will interact with Amgen's data owners and product teams worldwide to monitor and improve data related KPIs and remediation plans.
**Roles & Responsibilities:**
+ Develop and implement data quality standards, metrics, and governance frameworks to ensure consistency, accuracy, and reliability of enterprise data across systems and domains.
+ Lead root cause analysis and resolution of data quality issues by collaborating with data stewards, business stakeholders, and Technology teams to identify, prioritize, and remediate data anomalies.
+ Establish data quality monitoring and reporting processes, including dashboards and KPIs, to track progress, highlight trends, and drive continuous improvement initiatives.
+
**Functional Skills:**
**Must-Have Skills:**
+ Experience managing commercial data quality platforms
+ Technical data management skills with in-depth knowledge of Pharma data standards.
+ Aware of industry trends and priorities and can apply to governance and policies.
+ In-depth knowledge and experience with data masking, data access controls, and technologies to enable a scalable operating model.
**Good-to-Have Skills:**
+ Experience managing industry external data assets (e.g. Claims, EHR, etc.)
+ Ability to successfully execute complex projects in a fast-paced environment and in managing multiple priorities effectively.
+ Ability to manage projects or departmental budgets.
+ Experience with modelling tools (e.g., Visio).
+ Basic programming skills, experience in data visualization and data modeling tools.
+ Experience working with agile development methodologies such as Scaled Agile.
**Soft Skills:**
+ Ability to build business relationships and understand end-to-end data use and needs.
+ Excellent interpersonal skills (team player). People management skills either in matrix or direct line function.
+ Strong verbal and written communication skills
+ Ability to work effectively with global, virtual teams
+ High degree of initiative and self-motivation.
+ Ability to manage multiple priorities successfully.
+ Team-oriented, with a focus on achieving team goals
+ Good presentation and public speaking skills.
+ Strong attention to detail, quality, time management and customer focus.
**Basic Qualifications:**
+ Doctorate degree and 2 years of Information Systems experience, or
+ Master's degree and 6 years of Information Systems experience, or
+ Bachelor's degree and 8 years of Information Systems experience, or
+ Associates degree and 10 years of Information Systems experience, or
+ 4 years of managerial experience directly managing people and leadership experience leading teams, projects, or programs.
**EQUAL OPPORTUNITY STATEMENT**
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request and accommodation.
Data Quality Associate
Posted 11 days ago
Job Viewed
Job Description
Our Vision:
Help IIT Bombay rank among the top engineering and technology institutes worldwide by fostering strong relationships with its alumni, corporations and philanthropists.
About us:
The Indian Institute of Technology Bombay, set up in 1958 as the second IIT, is recognised worldwide as a leader in the field of science and engineering education and research. The Institute was granted the status of 'Institution of Eminence' by the Ministry of Education (the then Ministry of Human Resources Development) on July 9, 2018. IIT Bombay is reputed for the quality of its faculty, cutting edge research, industry relations and the outstanding calibre of students graduating from its undergraduate and postgraduate programmes. The Institute has 17 academic departments, 35 other academic entities (Centres/ Programmes/ Academic facilities/ Hubs/ Externally funded centres and Labs) and three schools. Over the last six decades, more than 75,000 engineers and scientists have graduated from the Institute. It is served by 751 faculty members and about 150 visiting and part-time faculty considered not only amongst the best within the country but also highly recognised in the world for achievements in the field of education and research. On June 4, 2024, IIT Bombay was ranked 1st in India and 118th in the world in the Quacquarelli Symonds (QS) World University Rankings for 2025. On March 12, 2025, IIT Bombay was ranked 28th in Engineering and Technology in the Quacquarelli Symonds (QS) World University Rankings by Subject for 2025.
IITB DRF assists fundraising endeavours by way of donor solicitations, managing donor programs, maintaining financial accounts and reporting details of all activities implemented with alumni donations.
Job Purpose:
Own the completeness, accuracy, and freshness of the alumni database. You’ll design data standards, build and run deduplication and enrichment workflows, validate email/phone/contactability, and set up ongoing governance so records stay clean and campaign ready. You’ll collaborate with Alumni Relations, Advancement/AG, and IT/CRM to turn messy inputs into a single reliable “golden record” for every alum.
Key Responsibilities:
Data standards & governance:
- Define the alumni data model, field standards (names, degrees, departments, graduation year, employment, city/state/country/PIN), and validation rules.
- Maintain a data dictionary, quality rules, and SOPs; run monthly audits and publish DQ dashboards.
- Ensure compliance with India’s DPDP Act (2023) and internal consent/opt-out policies (lawful purpose, notice, retention, access logs).
Quality control & remediation:
- Build automated deduplication (exact + fuzzy matching), survivorship rules, and merge queues.
- Standardize addresses (India Post PINs), phone formats (E.164), and email patterns; set up input validation on forms.
- Reduce bounces via email verification and re-permissioning workflows; manage hard/soft bounce handling.
Sourcing & enrichment:
- Plan outreach to alumni to fill gaps (surveys, event RSVPs, reunion forms) with progressive profiling.
- Enrich employment and location via approved sources/APIs and manual research when needed.
- Run quarterly *verification campaigns* and monitor freshness SLAs.
Tooling & integrations:
- Operate the alumni CRM (e.g., Salesforce NPSP / Blackbaud RE NXT / Slate / Zoho CRM / Almabase / AlmaConnect / Hivebrite).
- Build low-code ETL pipelines (e.g., Talend Open Studio, Pentaho Kettle, Airbyte, Google Apps Script), and quality checks (SQL + Excel).
- Use email validation (e.g., ZeroBounce/NeverBounce/Kickbox), phone lookup services, geocoding (Google Maps), and record linkage libs (e.g., Dedupe.io / RapidFuzz).
Stakeholder enablement:
- Partner with communications for segmentation lists; set up list QA gates before sends.
- Train staff on data entry standards; review new integrations/forms for DQ impact.
Desired Experience/ competencies:
- 4–8 years (Lead) / 1–3 years (Associate) in data quality, CRM operations, or data stewardship; nonprofit/higher-ed experience a plus.
- Hands-on SQL, advanced Excel/Google Sheets, basic Python (pandas) or Apps Script for cleanup jobs.
- Practical experience with dedupe/fuzzy matching, data profiling, address and contact standardization.
- Familiarity with email deliverability concepts (SPF/DKIM alignment, bounce handling) and consent/opt-out management.
- Comfort with APIs, CSV pipelines, and QA checklists.
- Working knowledge of India’s DPDP Act and privacy-by-design practices.
- Experience with Salesforce NPSP or Blackbaud admin, or alumni platforms (Almabase/AlmaConnect/Hivebrite).
- Exposure to enrichment tools (Apollo/Lusha/RocketReach/ZoomInfo used responsibly under consent policies).
- Basic BI (Looker Studio/Power BI) for DQ dashboards.
Data Quality Analyst
Posted 22 days ago
Job Viewed
Job Description
Role Summary:
As a Data Quality Consultant, you will play a crucial role in enhancing data quality across our clients' organizations. You will be responsible for implementing data quality frameworks and solutions using tools such as Collibra, IDMC, etc. ensuring data integrity, accuracy, and accessibility. You will collaborate with cross-functional teams to identify data quality gaps and deliver tailored solutions that support our clients’ business objectives.
Key Responsibilities:
- 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.
Qualifications:
- Bachelor’s or Master’s degree in Information Systems, Data Management, Computer Science, or a related field.
- Proven experience in data quality management, preferably within a consulting environment.
- Expertise in DQ Tools such as Collibra, Informatica Data Management Cloud (IDMC), etc.
- Strong understanding of data governance frameworks, tools, and technologies.
- Excellent analytical and problem-solving skills.
- Strong communication and interpersonal skills, with the ability to influence stakeholders at all levels.
- Relevant certifications in Collibra and Informatica are advantageous.
What We Offer:
- A dynamic and inclusive work environment that values collaboration and innovation.
- Opportunities for professional development and career advancement.
- Competitive salary and benefits package.
- The chance to work with industry-leading clients and cutting-edge technologies.
Data Quality Analyst
Posted 23 days ago
Job Viewed
Job Description
Greetings from HCLTECH!
Role: Data Governance- Collibra
Location: Pan India
Experience: 5 Years to 10 Years
Relevant Years in Collibra: 3 Years
Notice Period: Immediate to 30 Days
Collibra Data Quality:
Mandatory
Collibra Data Quality (DQ)
including rule creation, monitoring, and troubleshooting.
Application support, DevOps, or Data engineering.
understanding of Kubernetes concepts including pods, services, deployments, config maps, and secrets
Experience with Docker , Helm, and CI/CD tools (e.g., Jenkins, GitHub Actions).
Proficiency in SQL and basic scripting (e.g., Shell, Python).
Knowledge of JDBC/ODBC connectors , REST APIs, and enterprise data integration patterns
Exposure to cloud environments (AWS , Azure , or GCP ) and managing DQ components in cloud-native architectures
Soft Skills:
- Strong analytical and problem-solving skills.
- Excellent verbal and written communication.
- Self-driven with a continuous improvement mindset.
- Should be flexible to work in shifts
- Should be open to learn new Tools and Technologies
Interested candidates, please share the resume to , along with the below details
Candidate Name
contact number
Email ID
Total years of experience
Relevant years
Notice Period
Current Company
Current loc
Pref loc
CCTC
ECTC
Data Quality Associate
Posted today
Job Viewed
Job Description
Our Vision:
Help IIT Bombay rank among the top engineering and technology institutes worldwide by fostering strong relationships with its alumni, corporations and philanthropists.
About us:
The Indian Institute of Technology Bombay, set up in 1958 as the second IIT, is recognised worldwide as a leader in the field of science and engineering education and research. The Institute was granted the status of 'Institution of Eminence' by the Ministry of Education (the then Ministry of Human Resources Development) on July 9, 2018. IIT Bombay is reputed for the quality of its faculty, cutting edge research, industry relations and the outstanding calibre of students graduating from its undergraduate and postgraduate programmes. The Institute has 17 academic departments, 35 other academic entities (Centres/ Programmes/ Academic facilities/ Hubs/ Externally funded centres and Labs) and three schools. Over the last six decades, more than 75,000 engineers and scientists have graduated from the Institute. It is served by 751 faculty members and about 150 visiting and part-time faculty considered not only amongst the best within the country but also highly recognised in the world for achievements in the field of education and research. On June 4, 2024, IIT Bombay was ranked 1st in India and 118th in the world in the Quacquarelli Symonds (QS) World University Rankings for 2025. On March 12, 2025, IIT Bombay was ranked 28th in Engineering and Technology in the Quacquarelli Symonds (QS) World University Rankings by Subject for 2025.
IITB DRF assists fundraising endeavours by way of donor solicitations, managing donor programs, maintaining financial accounts and reporting details of all activities implemented with alumni donations.
Job Purpose:
Own the completeness, accuracy, and freshness of the alumni database. You’ll design data standards, build and run deduplication and enrichment workflows, validate email/phone/contactability, and set up ongoing governance so records stay clean and campaign ready. You’ll collaborate with Alumni Relations, Advancement/AG, and IT/CRM to turn messy inputs into a single reliable “golden record” for every alum.
Key Responsibilities:
Data standards & governance:
- Define the alumni data model, field standards (names, degrees, departments, graduation year, employment, city/state/country/PIN), and validation rules.
- Maintain a data dictionary, quality rules, and SOPs; run monthly audits and publish DQ dashboards.
- Ensure compliance with India’s DPDP Act (2023) and internal consent/opt-out policies (lawful purpose, notice, retention, access logs).
Quality control & remediation:
- Build automated deduplication (exact + fuzzy matching), survivorship rules, and merge queues.
- Standardize addresses (India Post PINs), phone formats (E.164), and email patterns; set up input validation on forms.
- Reduce bounces via email verification and re-permissioning workflows; manage hard/soft bounce handling.
Sourcing & enrichment:
- Plan outreach to alumni to fill gaps (surveys, event RSVPs, reunion forms) with progressive profiling.
- Enrich employment and location via approved sources/APIs and manual research when needed.
- Run quarterly *verification campaigns* and monitor freshness SLAs.
Tooling & integrations:
- Operate the alumni CRM (e.g., Salesforce NPSP / Blackbaud RE NXT / Slate / Zoho CRM / Almabase / AlmaConnect / Hivebrite).
- Build low-code ETL pipelines (e.g., Talend Open Studio, Pentaho Kettle, Airbyte, Google Apps Script), and quality checks (SQL + Excel).
- Use email validation (e.g., ZeroBounce/NeverBounce/Kickbox), phone lookup services, geocoding (Google Maps), and record linkage libs (e.g., Dedupe.io / RapidFuzz).
Stakeholder enablement:
- Partner with communications for segmentation lists; set up list QA gates before sends.
- Train staff on data entry standards; review new integrations/forms for DQ impact.
Desired Experience/ competencies:
- 4–8 years (Lead) / 1–3 years (Associate) in data quality, CRM operations, or data stewardship; nonprofit/higher-ed experience a plus.
- Hands-on SQL, advanced Excel/Google Sheets, basic Python (pandas) or Apps Script for cleanup jobs.
- Practical experience with dedupe/fuzzy matching, data profiling, address and contact standardization.
- Familiarity with email deliverability concepts (SPF/DKIM alignment, bounce handling) and consent/opt-out management.
- Comfort with APIs, CSV pipelines, and QA checklists.
- Working knowledge of India’s DPDP Act and privacy-by-design practices.
- Experience with Salesforce NPSP or Blackbaud admin, or alumni platforms (Almabase/AlmaConnect/Hivebrite).
- Exposure to enrichment tools (Apollo/Lusha/RocketReach/ZoomInfo used responsibly under consent policies).
- Basic BI (Looker Studio/Power BI) for DQ dashboards.
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Data Quality Analyst
Posted today
Job Viewed
Job Description
Role Summary:
As a Data Quality Consultant, you will play a crucial role in enhancing data quality across our clients' organizations. You will be responsible for implementing data quality frameworks and solutions using tools such as Collibra, IDMC, etc. ensuring data integrity, accuracy, and accessibility. You will collaborate with cross-functional teams to identify data quality gaps and deliver tailored solutions that support our clients’ business objectives.
Key Responsibilities:
- 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.
Qualifications:
- Bachelor’s or Master’s degree in Information Systems, Data Management, Computer Science, or a related field.
- Proven experience in data quality management, preferably within a consulting environment.
- Expertise in DQ Tools such as Collibra, Informatica Data Management Cloud (IDMC), etc.
- Strong understanding of data governance frameworks, tools, and technologies.
- Excellent analytical and problem-solving skills.
- Strong communication and interpersonal skills, with the ability to influence stakeholders at all levels.
- Relevant certifications in Collibra and Informatica are advantageous.
What We Offer:
- A dynamic and inclusive work environment that values collaboration and innovation.
- Opportunities for professional development and career advancement.
- Competitive salary and benefits package.
- The chance to work with industry-leading clients and cutting-edge technologies.
Data Quality Analyst
Posted today
Job Viewed
Job Description
Greetings from HCLTECH!
Role: Data Governance- Collibra
Location: Pan India
Experience: 5 Years to 10 Years
Relevant Years in Collibra: 3 Years
Notice Period: Immediate to 30 Days
Collibra Data Quality:
Mandatory
Collibra Data Quality (DQ)
including rule creation, monitoring, and troubleshooting.
Application support, DevOps, or Data engineering.
understanding of Kubernetes concepts including pods, services, deployments, config maps, and secrets
Experience with Docker, Helm, and CI/CD tools (e.g., Jenkins, GitHub Actions).
Proficiency in SQL and basic scripting (e.g., Shell, Python).
Knowledge of JDBC/ODBC connectors, REST APIs, and enterprise data integration patterns
Exposure to cloud environments (AWS, Azure, or GCP) and managing DQ components in cloud-native architectures
Soft Skills:
- Strong analytical and problem-solving skills.
- Excellent verbal and written communication.
- Self-driven with a continuous improvement mindset.
- Should be flexible to work in shifts
- Should be open to learn new Tools and Technologies
Interested candidates, please share the resume to , along with the below details
Candidate Name
contact number
Email ID
Total years of experience
Relevant years
Notice Period
Current Company
Current loc
Pref loc
CCTC
ECTC