Data Quality Engineer Tester Job at NTT DATA (Remote)

Sustenance Engineer - Actian Data Platform

This position is responsible for sustenance of Avalanche Cloud Datawarehouse. Th...

Location

India , Bangalore; Pune

Salary:

Not provided

Actian

Expiration Date

Until further notice

Requirements

Prior experience in building scalable Cloud applications on AWS/Azure/GCP
At least 5 years’ experience with Node.js, Scala or Java programming environments
Containerization experience with Kubernetes
Advanced design/debugging/coding skills for distributed systems, microservices architecture and REST APIs
Complex problem-solving skills
Good written and oral communication skills
Organizational skills
Analytical skills
Technical skills
Quality management

Job Responsibility

Design and implement complex units/modules/products that meet functional and business requirements
Develop plans outlining steps for developing features and communicate status
Write and maintain documentation for program development, logic, coding, testing, changes, and corrections
Perform unit/module testing of software to find errors and confirm specifications
Fix bugs and add enhancements
Participate in design and code reviews
Assist Quality Assurance Team by providing assistance to testers and support personnel
Review and approve software testing plans for quality assurance
Provide input to establish and improve departmental processes and procedures
Provide product content to Technical Writers

Fulltime

New

Senior Data Manual Tester

The Senior Data/Manual Tester plays a key role in establishing and maintaining d...

Location

United Kingdom , London

Salary:

Not provided

Solirius Consulting

Expiration Date

Until further notice

Requirements

Strong understanding of data quality principles (accuracy, completeness, consistency, timeliness, validity)
Proven experience in data testing / data quality assurance, including manual validation techniques
Experience managing data quality issues, defect logs, and remediation workflows
Ability to define data quality rules and validation requirements for automated controls
Working knowledge of data platforms, data warehouses, and data pipelines
Ability to collaborate effectively with data engineering and analytics teams
Experience analysing data quality results and producing clear reporting and insights
Strong stakeholder engagement, communication, and prioritisation skills
Demonstrate a strong understanding of Agile methodologies

Job Responsibility

Define and maintain data quality frameworks, standards, and validation rules
Manage data quality issue logs, including prioritisation, tracking, and resolution
Design and coordinate data quality validation checks (manual and automated)
Partner with Data Analytics Engineers to define requirements for automated data quality controls
Review data quality outcomes, analyse trends, and report issues and risks
Collaborate with business and data teams to resolve data quality issues and drive improvements
Analysing test requirements, designing and producing reusable test scripts
Creating and managing test regression packs
Overcoming obstacles, such as working with the team on clarification of requirements or seeing bugs through to resolution to deliver quality testing on time
Analysing test results and updating test suites as needed to ensure accuracy and coverage

What we offer

Competitive Salary
25 Days Annual Leave + Bank Holidays
Flexibility to work from home
10 days allocated for development training per year
Generous Discretionary Bonus
Statutory & Contributory Pension
Private Healthcare Cover
Discounted Gym Membership
Enhanced Parental Leave
Paid Fertility Leave

Fulltime

Senior Engineer, Equipment Engineering

Sandisk understands how people and businesses consume data and we relentlessly i...

Location

Malaysia , Batu Kawan

Salary:

Not provided

Sandisk

Expiration Date

Until further notice

Requirements

Bachelor of Engineering (Hons) in Electrical / Electronics/ Mechanical / Mechatronic
3+ years of experience in test equipment engineering, specifically in SSD manufacturing or a related industry, with a strong emphasis on sustaining and maintenance
Proven track record of maintaining high slot-on availability and first pass yield in a high-volume production environment
Experience in utilizing data analytics for equipment monitoring, troubleshooting, and maintenance optimization
Expertise in maintaining and troubleshooting SSD test equipment, with a deep understanding of calibration, reliability, and maintenance protocols
Proficiency in data analysis tools (e.g., Python, R, SQL, MATLAB) for monitoring and optimizing equipment performance
Strong knowledge of predictive maintenance techniques, including AI-driven approaches to equipment reliability
Familiarity with SPC, DOE, and Six Sigma methodologies for continuous improvement
Strong leadership skills with the ability to mentor and guide junior engineers and technicians
Excellent problem-solving and decision-making abilities, with a focus on data-driven solutions

Job Responsibility

Ensure that test equipment is functioning optimally, achieving >99.3% slot-on availability and maintaining a high first pass yield
Perform routine maintenance, calibration, and troubleshooting of test systems to minimize downtime and ensure high reliability
Monitor real-time and historical data to detect issues, reduce failures, and maximize equipment uptime
Use data analytics to monitor test equipment performance, identify patterns, and anticipate potential issues before they impact production
Analyze test equipment data to improve test efficiency, reduce down times, and enhance tester performance
Implement real-time monitoring and diagnostic tools to ensure sustained optimal performance of test equipment
Analyze equipment performance data to optimize maintenance schedules and extend the life cycle of test equipment
Lead continuous improvement projects focused on sustaining and enhancing the efficiency and reliability of test equipment
Lead and mentor a team of engineers and technicians in sustaining tester, sharing best practices for maintenance and troubleshooting
Work closely with production, quality, and other cross-functional teams to ensure seamless operation and continuous improvement in testing

Fulltime

Data Architect

We are seeking a talented and experienced Data Architect to join our team. The D...

Location

India , Gurugram

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

Full-Time bachelor’s or master’s degree in engineering/technology, computer science, information technology, or related fields
10+ years of total experience in data modeling and database design
experience in Retail domain will be added advantage
8+ years of experience in data engineering development and support
3+ years of experience in leading technical team of data engineers and BI engineers
Proficiency in data modeling tools such as Erwin, ER/Studio, or similar tools
Strong knowledge of Azure cloud infrastructure and development using SQL/Python/PySpark using ADF, Synapse and Databricks
Hands-on experience with Azure Data Factory, Azure Synapse Analytics, Azure Analysis Services, Azure Databricks, Blob Storage, Python/PySpark, Logic Apps, Key Vault, and Azure functions
Strong communication, interpersonal, collaboration skills along with leadership capabilities
Ability to work effectively in a fast-paced, dynamic environment as cloud SME

Job Responsibility

Collaborate with solution architect, data engineers, business stakeholders, business analysts, and DQ testers to ensure data management and data governance framework is defined as critical components
Design and develop data models using industry-standard modeling techniques and tools
Perform data profiling, data lineage and analysis to understand data quality, structure, and relationships
Optimize data models for performance, scalability, and usability by creating optimal data storage layer
Define and enforce data modeling standards, best practices, and guidelines
Participate in data governance initiatives to ensure compliance with data management policies and standards
Work closely with database administrators and developers to implement data models in relational and non-relational database systems
Conduct data model reviews and provide recommendations for improvements
Stay updated on emerging trends and technologies in data modeling and data management
Conduct continuous audits of data management system performance and refine where necessary

Fulltime

Data Architect

We are seeking a talented and experienced Data Architect/ Modeller to join our t...

Location

India , Gurugram

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

Full-Time bachelor’s or master’s degree in engineering/technology, computer science, information technology, or related fields
10+ years of total experience in data modeling and database design and experience in Retail domain will be added advantage
8+ years of experience in data engineering development and support
3+ years of experience in leading technical team of data engineers and BI engineers
Proficiency in data modeling tools such as Erwin, ER/Studio, or similar tools
Strong knowledge of Azure cloud infrastructure and development using SQL/Python/PySpark using ADF, Synapse and Databricks
Hands-on experience with Azure Data Factory, Azure Synapse Analytics, Azure Analysis Services, Azure Databricks, Blob Storage, Python/PySpark, Logic Apps, Key Vault, and Azure functions
Strong communication, interpersonal, collaboration skills along with leadership capabilities
Ability to work effectively in a fast-paced, dynamic environment as cloud SME
Act as single point of contact for all kinds of data management related queries to make data decisions

Job Responsibility

Collaborate with solution architect, data engineers, business stakeholders, business analysts, and DQ testers to ensure data management and data governance framework is defined as critical components
Design and develop data models using industry-standard modeling techniques and tools
Perform data profiling, data lineage and analysis to understand data quality, structure, and relationships
Optimize data models for performance, scalability, and usability by creating optimal data storage layer
Define and enforce data modeling standards, best practices, and guidelines
Participate in data governance initiatives to ensure compliance with data management policies and standards
Work closely with database administrators and developers to implement data models in relational and non-relational database systems
Conduct data model reviews and provide recommendations for improvements
Stay updated on emerging trends and technologies in data modeling and data management

Fulltime

Senior Quality Analyst

The role focuses on quality engineering and automation strategy for the Global F...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

10+ years of experience in functional and non-functional software testing
3+ years of experience as Test Automation Lead
Expertise in test automation frameworks / tools like Jenkins, Selenium, Cucumber, TestNG, Junit, Cypress
Strong programming skills in Java, Python or any other programming or scripting language
Expertise in SQL
Experience with API testing tools (Postman, RestAssured) and performance testing tools (JMeter, LoadRunner)
Expertise in build tools like Maven / Gradle, continuous integration tools like Jenkins, source management tools like Git/GitHub
Strong knowledge of Agile, Scrum, and DevOps practices
Strong knowledge of functional Test tool (JIRA)
Familiarity with cloud-based test execution – AWS, Azure, or GCP

Job Responsibility

Plan, lead, and execute testing automation strategy for CitiFTP
Continuously monitor automation coverage and enhance the existing automation framework to increase the automation coverage
Design, Develop, and Implement scalable and maintainable automation frameworks for UI, API, and data validation testing on Big Data/Hadoop platform
Collaborate with other testing areas, development teams, product owners, and business partners to integrate automation into the agile SDLC
Enhance the efficiency of regression, and end-to-end testing using automation
Develop robust test scripts and maintain automation suites to support rapid software releases
Improve overall test coverage, defect detection, and release quality through automation
Establish and track key QA metrics e.g. defect leakage, test execution efficiency, automation coverage
Advocate for best practices in test automation, including code reviews, re-usability and maintainability
Drive the adoption of AI/ML-based testing tools and emerging trends in test automation

What we offer

Global workforce benefits designed to support well-being, growth, and work-life balance

Fulltime

New

Azure Data Engineer

The Azure Data Engineer role involves designing and maintaining ETL pipelines us...

Location

India , Chennai

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

5–8+ years of experience as a Data Engineer with strong hands‑on expertise in Azure (Data Factory, Databricks, Data Lake Storage, SQL, Synapse preferred)
Proven ability to build production‑grade ETL/ELT pipelines supporting complex, multi‑regional business processes
Experience designing or implementing rules engines (Drools, ODM, or similar)
Strong SQL skills and experience with data modeling, data orchestration, and pipeline optimization
Experience working in Agile Scrum teams and collaborating across global regions (U.S. and India preferred)
Ability to partner closely with analysts and business stakeholders to translate rules into technical solutions
Excellent debugging, optimization, and engineering problem‑solving skills
Minimum Skills Required: SQL, Python, Azure Data Factory, Databricks, Azure Synapse

Job Responsibility

Design, build, and maintain Azure‑based ETL pipelines (e.g., Data Factory, Databricks, Data Lake) to ingest, clean, transform, and aggregate compensation‑related datasets across multiple regions
Engineer upstream processes to produce 9–10 monthly aggregated output files (customer, revenue, product, sales rep, etc.), delivered 3× per month
Ensure repeatability, monitoring, orchestration, and error‑handling for all ingestion and transformation workflows
Contribute to the creation of a master stitched data file to replace Varicent’s current data‑assembly functions
Build, configure, and maintain a rules engine (ODM, Drools, or similar) to externalize business logic previously embedded in code
Translate rules and logic captured by analysts and business SMEs into scalable, testable engine components
Implement versioning, governance, and validation mechanisms for all logic used in compensation calculations
Ensure rule changes can be managed safely, reducing risk in high‑stakes compensation scenarios
Partner with data architects to implement the target‑state Azure data architecture for compensation analytics
Develop optimized, scalable physical data models aligned to business logic and downstream needs

Azure Data Engineer

The Azure Data Engineer role requires 5-8 years of experience in designing and m...

Location

India , Chennai

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

5–8+ years of experience as a Data Engineer with strong hands‑on expertise in Azure (Data Factory, Databricks, Data Lake Storage, SQL, Synapse preferred)
Proven ability to build production‑grade ETL/ELT pipelines supporting complex, multi‑regional business processes
Experience designing or implementing rules engines (Drools, ODM, or similar)
Strong SQL skills and experience with data modeling, data orchestration, and pipeline optimization
Experience working in Agile Scrum teams and collaborating across global regions (U.S. and India preferred)
Ability to partner closely with analysts and business stakeholders to translate rules into technical solutions
Excellent debugging, optimization, and engineering problem‑solving skills
Minimum Skills Required: SQL, Python, Azure Data Factory, Databricks, Azure Synapse

Job Responsibility

Design, build, and maintain Azure‑based ETL pipelines (e.g., Data Factory, Databricks, Data Lake) to ingest, clean, transform, and aggregate compensation‑related datasets across multiple regions
Engineer upstream processes to produce 9–10 monthly aggregated output files (customer, revenue, product, sales rep, etc.), delivered 3× per month
Ensure repeatability, monitoring, orchestration, and error‑handling for all ingestion and transformation workflows
Contribute to the creation of a master stitched data file to replace Varicent’s current data‑assembly functions
Build, configure, and maintain a rules engine (ODM, Drools, or similar) to externalize business logic previously embedded in code
Translate rules and logic captured by analysts and business SMEs into scalable, testable engine components
Implement versioning, governance, and validation mechanisms for all logic used in compensation calculations
Ensure rule changes can be managed safely, reducing risk in high‑stakes compensation scenarios
Partner with data architects to implement the target‑state Azure data architecture for compensation analytics
Develop optimized, scalable physical data models aligned to business logic and downstream needs

Fulltime

Data Quality Engineer Tester

NTT DATA

Location:
India , Remote

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 14, 2026

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for Data Quality Engineer Tester