1,076 Data Testing jobs in India

Test Engineer
- 5+ years of experience in data testing, quality assurance, or data management
- Familiarity with data testing and quality assurance tools, such as data profiling tools, ETL (Extract, Transform, Load) testing, and database testing tools.
- Proficiency in SQL and data analysis to query, manipulate, and validate data.
- Basic knowledge of test automation tools and scripting languages for automating data testing.
- Understanding of data governance principles and practices Develop data testing strategies, plans, and methodologies to ensure the accuracy, completeness, and reliability of data.
- Execute data validation tests, including data profiling, data reconciliation, and data integrity checks, to identify anomalies and data quality issues.
- Implement and maintain data testing automation frameworks and scripts to streamline and automate repetitive testing processes.
- Create test cases and test scripts to validate data accuracy, consistency, and integrity across various data sources, databases, and data pipelines.
- Continuously monitor and analyze data quality metrics to identify trends, patterns, and areas of improvement
- Detect, document, and report data quality issues, inconsistencies, and anomalies to the relevant teams for resolution.
- Collaborate with data engineers, data analysts, and other teams to understand data structures, sources, and transformations.
- Maintain comprehensive documentation of data testing processes, test cases, and test results.
- Generate and provide reports on data quality metrics and findings to management and stakeholders.
- Adhere to data governance policies and practices, contributing to the development and enforcement of data management standards.
- Continuously improve data testing processes, tools, and methodologies to adapt to evolving data requirements and technologies.
- Excellent communication and collaboration skills to work with cross-functional teams, managing stakeholders.

**Job Types**: Full-time, Permanent

Pay: ₹1,500,000.00 - ₹2,000,000.00 per year

**Benefits**:

- Flexible schedule
- Food provided
- Health insurance
- Life insurance
- Provident Fund

Schedule:

- Day shift
- Fixed shift
- Monday to Friday
- Morning shift
- Weekend availability

Supplemental pay types:

- Performance bonus
- Yearly bonus

Application Question(s):

- Do you have - 5+ years of experience in data testing, quality assurance, or data management
- Familiarity with data testing and quality assurance tools, such as data profiling tools, ETL (Extract, Transform, Load) testing, and database testing tools.
- Proficiency in SQL and data analysis to query, manipulate, and validate data.
- Basic knowledge of test automation tools and scripting languages for automating data testing.
- Do you have - Understanding of data governance principles and practices Develop data testing strategies, plans, and methodologies to ensure the accuracy, completeness, and reliability of data.
- Do you have experience In - Execute data validation tests, including data profiling, data reconciliation, and data integrity checks, to identify anomalies and data quality issues.
- Implement and maintain data testing automation frameworks and scripts to streamline and automate repetitive testing processes
- Do you have - Create test cases and test scripts to validate data accuracy, consistency, and integrity across various data sources, databases, and data pipelines.
- Continuously monitor and analyze data quality metrics to identify trends, patterns, and areas of improvement
- Do you have experience in - Detect, document, and report data quality issues, inconsistencies, and anomalies to the relevant teams for resolution.
- Collaborate with data engineers, data analysts, and other teams to understand data structures, sources, and transformations.
- Maintain comprehensive documentation of data testing processes, test cases, and test results.
- Generate and provide reports on data quality metrics and findings to management and stakeholders.
- Adhere to data governance policies and practices, contributing to the development and enforcement of data management standards.
- Continuously improve data testing processes, tools, and methodologies to adapt to evolving data requirements and technologies.
- Do you have - Excellent communication and collaboration skills to work with cross-functional teams, managing stakeholders
- Are you fine under Budget 20LPA
- Are you Serving Notice period
- If Selected Can you 0-10 Days

**Experience**:

- Data Testing: 6 years (required)

Work Location: In person

As a Data Testing Specialist focusing on Spark, you will play a crucial role in ensuring the quality and integrity of our data processes. Your expertise in working with big data technologies and Spark framework will enable you to design, implement, and enhance testing strategies that ensure the reliability and accuracy of the data pipelines we create.

You will collaborate closely with our data engineering teams to validate data flows, perform regression tests, and verify that all data transformations meet specified requirements. Your role is pivotal in identifying data discrepancies, issues, and performance bottlenecks, providing valuable feedback to improve our data architecture and processes.

Requirements

Key Responsibilities:

Serve as the automated quality assurance specialist within the team, supporting and collaborating with Engineers on testing strategies and their technical implementation.

Work alongside developers and data engineers to grasp intricate system requirements and convert them into comprehensive automated test plans.

Assist in early identification of dependencies, risks, and quality discrepancies throughout the development lifecycle.

Design and develop automated test cases, including integration, end-to-end, load, and performance testing for data-driven applications.

Integrate testing practices within CI/CD pipelines to facilitate swift and dependable deployments.

Actively engage in:

Decomposing deliverable components into valuable increments.

Defining success metrics, including the Definition of Done (DOD).

Demonstrating business value in frequent ceremonies.

Maintaining live documentation of the domain and platform to promote knowledge sharing and distribution.

Participate in design discussions, technical evaluations, and contribute to the ongoing enhancement of testing standards and practices.

Guide team members on testing frameworks, industry best practices, and strategies for effective test automation.

Possess substantial experience with Data Engineering testing frameworks and strategies.

Required Qualifications:

Required Skills:

Proficiency in distributed computing technologies (such as Spark) and software development.

Adept at working with databases, with a preference for Postgres.

Solid grasp of Object-Oriented Programming principles and development methodologies.

Experience in Agile development environments, including Scrum or Kanban.

Familiarity with version control systems, preferably Git.

Knowledge of Continuous Integration and Continuous Deployment (CI/CD) pipelines.

Experience in automated testing, encompassing integration, delta, load, and performance testing.

Extensive experience in database testing, ideally with Postgres.

Good to Have Skills:

Proficiency in working with Docker and Containers.

Experience with Spark and Scala.

Background in Data Engineering.

Familiarity with Python.

Experience in .NET Core.

Benefits

We Offer

Flexible working hours (self-managed)

Competitive salary

Annual bonus, subject to company performance

Access to Udemy online training and opportunities to learn and grow within the role

About Mindera

At Mindera we use technology to build products we are proud of, with people we love.

Software Engineering Applications, including Web and Mobile, are at the core of what we do at Mindera.

We partner with our clients, to understand their product and deliver high performance, resilient and scalable software systems that create an impact in their users and businesses across the world.

You get to work with a bunch of great people, where the whole team owns the project together.

Our culture reflects our lean and self-organisation attitude. We encourage our colleagues to take risks, make decisions, work in a collaborative way and talk to everyone to enhance communication.

We are proud of our work and we love to learn all and everything while navigating through an Agile, Lean and collaborative environment.

Follow our Linkedln page -

Check ot our Blog: and our Handbook:

Our offices are located: Aveiro, Portugal | Porto, Portugal | Leicester, UK | San Diego, USA | San Francisco, USA | Chennai, India | Bengaluru, India

Job Summary:

We are looking for a Senior Data Tester who will be responsible for data testing activities in the MarkLogic database. Able to provide Test strategy and identify the risks, dependencies.

• The Data Tester is responsible for ensuring the accuracy, quality, and reliability of data used within an organization.
• This role involves the evaluation of data sources, validation of data integrity, and the execution of data tests to identify issues and discrepancies.
• The Data Tester works closely with data analysts, developers, and other stakeholders to maintain and enhance data quality throughout the data lifecycle.

Responsibilities:

• Test current products and identifying deficiencies in Datawarehouse or Data Hub.
• Suggest solutions to identified product problems.
• Investigate product quality to make improvements to achieve better customer satisfaction.
• Collaborate with the Development team to ensure consistent project execution.
• Identify quality assurance process bottleneck and suggest actions for improvement.
• Oversee continuous improvement projects.
• Collect quality data.
• Monitor daily and weekly run regression tests and help with maintenance, operations, and release activities.
• Be an active participant in product requirements, functional specification, and design specification reviews.
• Possess good communication skills to interact with both local and remote teams effectively.

Requirements:

• 4 - 8 years of experience in QA engineering position.
• Strong ETL Data testing experience using SQL in Data Warehouse or Data Lake or Data Hub.
• Should be able to develop Test strategy and Test plan if required.
• Experience with building/maintaining test framework, tools.
• Familiarity with various Document and data formats – JSON, XML and familiarity with search technologies.
• Enterprise-level databases experience (Oracle, DB2, SQL Server, MySQL or any NoSQL database) is a plus.
• Excellent verbal and written communication skills.
• Strong analytical and problem-solving skills.
• Need to be excellent team player.

Skills Required
Databases, Python, Dwh, Data Testing

**Big Data Testing ( Job ID : 000727 )**:

NA

Experience

**4 - 6 years**

Offered Salary

Notice Period

**Not Disclosed**
- Key Technical Skills - Experience in J2EE technologies and frameworks (JSP, Servlets, Struts, JSF). Must have necessarily worked on either EJB/Hibernate/Spring.
- Database experience in Oracle/ MySQL/MS SQL Server is a must. Should have good knowledge on RDBMS concepts and be able to develop database scripts for at least one of the above mentioned databases.
- Good hands-on experience with open source development tools and frameworks (Eclipse, ANT, Junit, PMD, SVN etc)
- Ability to understand UML design diagrams. Ideally should have designed some modules in prior projects using OOAD and UML.
Experience in performance engineering domain (testing, tuning, profiling) will be a definite add-on.

Job Summary:
We are seeking a highly skilled and experienced Senior QA Engineer with a strong background in data testing, both manual and automated, to join our Quality Assurance team. You will play a crucial role in ensuring the quality and integrity of our data pipelines, data warehousing solutions, and reporting systems. The ideal candidate possesses a keen eye for detail, a passion for quality, and a proven track record of designing and executing comprehensive test strategies. Experience in the banking domain is highly preferred.
Responsibilities:
Data Testing:
Design, develop, and execute test plans, test cases, and test scripts for data validation, transformation, and loading processes.
Perform in-depth data analysis and validation using SQL and other data analysis tools.
Validate data integrity, accuracy, and completeness across various data sources and systems.
Identify and document data anomalies, inconsistencies, and defects.
Test Automation:
Develop and maintain automated test frameworks and scripts for data testing using Python or other scripting languages.
Automate data validation checks, ETL processes, and data quality rules.
Integrate automated tests into CI/CD pipelines.
Manual Testing:
Perform manual testing of data-related functionalities, including data entry, reporting, and dashboards.
Execute exploratory testing to uncover hidden defects and edge cases.
Collaboration and Communication:
Collaborate effectively with data engineers, developers, and business analysts to understand data requirements and testing needs.
Communicate test results, defects, and risks clearly and concisely.
Qualifications:
Bachelor's degree in Computer Science, Information Systems, or a related field.
5+ years of experience in software quality assurance, with a strong focus on data testing.
Proven experience in designing and executing both manual and automated data testing strategies.
Strong SQL skills for data analysis and validation.
Experience with test automation frameworks and scripting languages (e.g., Python, Java).
Experience with data warehousing concepts, ETL processes, and data quality tools.
Deep understanding of software testing methodologies and best practices.
Excellent analytical, problem-solving, and communication skills.
Experience in the banking or financial services domain is highly preferred.
Preferred Skills:
Experience with CI/CD tools (e.g., Jenkins, GitLab CI).
Familiarity with cloud-based data warehousing solutions (e.g., Snowflake, AWS Redshift).
Experience with performance testing of data pipelines and databases.
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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**
For complementary skills, please see above and/or contact the recruiter.
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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.

Job Summary:

We are seeking a highly skilled and experienced Senior QA Engineer with a strong background in data testing, both manual and automated, to join our Quality Assurance team. You will play a crucial role in ensuring the quality and integrity of our data pipelines, data warehousing solutions, and reporting systems. The ideal candidate possesses a keen eye for detail, a passion for quality, and a proven track record of designing and executing comprehensive test strategies. Experience in the banking domain is highly preferred.

Responsibilities:

Data Testing:
Design, develop, and execute test plans, test cases, and test scripts for data validation, transformation, and loading processes.
Perform in-depth data analysis and validation using SQL and other data analysis tools.
Validate data integrity, accuracy, and completeness across various data sources and systems.
Identify and document data anomalies, inconsistencies, and defects.
Test Automation:
Develop and maintain automated test frameworks and scripts for data testing using Python or other scripting languages.
Automate data validation checks, ETL processes, and data quality rules.
Integrate automated tests into CI/CD pipelines.
Manual Testing:
Perform manual testing of data-related functionalities, including data entry, reporting, and dashboards.
Execute exploratory testing to uncover hidden defects and edge cases.
Collaboration and Communication:
Collaborate effectively with data engineers, developers, and business analysts to understand data requirements and testing needs.
Communicate test results, defects, and risks clearly and concisely.
Qualifications:

Bachelor's degree in Computer Science, Information Systems, or a related field.
5+ years of experience in software quality assurance, with a strong focus on data testing.
Proven experience in designing and executing both manual and automated data testing strategies.
Strong SQL skills for data analysis and validation.
Experience with test automation frameworks and scripting languages (, Python, Java).
Experience with data warehousing concepts, ETL processes, and data quality tools.
Deep understanding of software testing methodologies and best practices.
Excellent analytical, problem-solving, and communication skills.
Experience in the banking or financial services domain is highly preferred.
Preferred Skills:

Experience with CI/CD tools (, Jenkins, GitLab CI).
Familiarity with cloud-based data warehousing solutions (, Snowflake, AWS Redshift).
Experience with performance testing of data pipelines and databases.

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Job Family Group:

Data Governance

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Job Family:

Data Quality & Data Quality Analytics and Reporting

---

Time Type:

Full time

---

Most Relevant Skills

Change Management, Data Analysis, Data Governance, Data Lineage, Data Management, Data Quality, Internal Controls, Management Reporting, Program Management, Risk Management.

---

Other Relevant Skills

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

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About Client :-

Our client is a French multinational information technology (IT) services and consulting company, headquartered in Paris, France. Founded in 1967, It has been a leader in business transformation for over 50 years, leveraging technology to address a wide range of business needs, from strategy and design to managing operations.

The company is committed to unleashing human energy through technology for an inclusive and sustainable future, helping organisations accelerate their transition to a digital and sustainable world.

They provide a variety of services, including consulting, technology, professional, and outsourcing services.

Job Details:-

location :Pan India

Mode Of Work : Hybrid

Notice Period : Immediate Joiners

Experience : 6-8 yrs

Type Of Hire : Contract to Hire

JOB DESCRIPTION:

Key Responsibilities:

• Design, develop, and maintain automated test scripts using Python and Pytest for data pipelines and platforms.

• Implement system, integration, and performance testing strategies for data workflows.

• Collaborate with data engineers and DevOps teams to integrate testing into CI/CD pipelines using Azure DevOps.

• Validate data transformations and integrity using SQL queries and automated checks.

• Build reusable testing frameworks and utilities for scalable data validation.

• Monitor and report on test coverage, test results, and quality metrics.

• Troubleshoot and debug test failures and data issues in Databricks environments.

Required Skills & Qualifications:

• 3+ years of experience in automation testing with a focus on data systems.

• Proficiency in Python and SQL for scripting and data validation.

• Hands-on experience with Pytest for test automation.

• Familiarity with Databricks and Azure DevOps (code repositories, pipelines).

• Strong understanding of data engineering workflows, data quality, and testing best practices.

• Experience with CI/CD pipelines and version control systems (e.g., Git).

• Excellent problem-solving skills and attention to detail.

Preferred Qualifications:

• Experience with data validation tools or frameworks (e.g., Great Expectations).

• Knowledge of cloud data platforms (Azure, AWS, or GCP).

• Exposure to performance testing tools and techniques for large-scale data systems.