953 Data Validation jobs in India

Jr. Data Validation Executive

Validating Invoices received from field

Job Type: Full-time

Pay: ₹10, ₹13,000.00 per month

Benefits:

• Health insurance
• Paid sick time
• Provident Fund

Work Location: In person

We are Hiring Data validation Executive

Apply now : hr.- or call to

EDUCATION: Any Graduate

Freshers / Experience candidate apply

Salary : 15000 CTC

JOB DESCRIPTION:

. Knowledge about MS Word, Advance Excel.

· Checking the quality of data as per the parameter.

· Need to validate, sorting, merge the data.

· Good Communication and Computer skills

· Validating the data by various processes.

· Work independently and will report to QC team leader.

· Quality Checking operations of FMCG Products

· Maintaining the MIS Report in Excel

Job Types: Full-time, Fresher

Pay: ₹11, ₹15,000.00 per month

Benefits:

• Paid sick time
• Provident Fund

Work Location: In person

Role: Data validation Engineer Location: JP Nagar ,Bangalore. Work from office. Face to face interview one round only.

Job Description: Are you someone looking for a challenge to work in a startup environment and innovate in a global environment to help build a SaaS Service to scale? Are you willing to roll up your sleeves and do what it takes to deliver value to Customers? As we expand our Engineering operations in India, we are looking for a Sr. Data Engineer to join us and help build robust data pipelines that is an integral part of our SaaS platform The role would offer an opportunity to work with cross functional teams in developing and evolving Cloud services powering innovative technology solutions used in the real estate industry. We are seeking a skilled and experienced Data Engineer to join our dynamic team. The Data Engineer will be responsible for designing, implementing, and maintaining our data infrastructure, pipelines, and systems. This role involves collaborating with cross-functional teams to ensure efficient data flow, data quality, and optimal performance. The ideal candidate should have a strong background in software engineering, database management, and data architecture, along with proficiency in relevant technologies and tools. Responsibilities: Lead the design and implementation of robust data pipelines for efficient extraction, transformation, and loading (ETL) of large datasets from diverse sources. Collaborate with stakeholders to understand business requirements, translating them into scalable data solutions tailored to end-user needs. Enhance and maintain our data architecture, ensuring scalability, reliability, and performance. Investigate and resolve data anomalies within ETL pipelines, ensuring data integrity and accuracy. Develop and maintain documentation for data processes, ensuring clarity and sustainability. Utilize AWS platform capabilities to architect and operate scalable production solutions. Implement data security practices and compliance measures to protect sensitive information. Build and manage data warehouses and data lakes to store and organize large datasets. Implement data quality checks and procedures to ensure data accuracy and consistency. Automate data workflows and processes using scripting languages and data pipeline orchestration tools. Collaborate with business analysts, onboarding teams, and business stakeholders to understand data needs and translate them into technical solutions. Monitor and troubleshoot data pipelines, identify bottlenecks, and optimize performance of data infrastructure to ensure scalability and efficiency. Troubleshoot issues with production data and/or inconsistencies and propose sustainable solutions to address them Document data pipelines and processes for maintainability and knowledge sharing. Stay updated with emerging technologies and best practices in data engineering, and propose innovative solutions. Document system architectures, processes, and procedures for knowledge sharing and future reference. Provide technical guidance and support to junior team members, and contribute to their professional development Skills and Qualifications: 1) Strong proficiency in SQL with hands-on experience in relational databases such as MySQL and Oracle, including the development and maintenance of stored procedures. 2) Experience with data validation, data quality testing, and frameworks for automated and manual data validation processes. 3) Solid understanding of data modeling concepts and their application in building scalable and reliable data pipelines. 4) Design and implement data validation processes and data quality checks to ensure the accuracy, completeness, and consistency of critical datasets. 5) Collaborate with cross-functional teams (e.g., data engineering, product, analytics) to define and execute data validation strategies aligned with business requirements. 6) Analyze data validation results and troubleshoot issues to determine root causes and implement corrective actions. 7) Experience with scripting languages like Python for data validation or test automation 8) Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience). 9) A minimum of 5 years of experience as a Data Engineer or similar role. 10) Strong proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL). 11) Excellent problem-solving and analytical skills. 12) Strong communication and collaboration skills. 13) Ability to work independently and as part of a team.

QA GCP Engineer/Data Base tester

Expereince-6+Years

Location: Bengaluru

Employment Type: Full-time(Hybrid)

Job Description:

We are looking for a QA Engineer with strong expertise in data validation and quality assurance . The candidate should have 6–9 years of overall QA experience , with at least 2–3 years in data-focused QA . Must possess excellent querying skills (SQL) and experience in validating large datasets, ETL processes, and data pipelines. Strong analytical mindset and excellent communication skills are required to work effectively with cross-functional teams.

Key Skills:

• Manual and automation testing for data validation
• Strong SQL and database querying skills
• Experience with ETL testing and data pipeline validation
• Familiarity with QA methodologies, defect management, and test planning
• Excellent verbal and written communication

Responsibilities:

• Perform data validation and quality checks across multiple systems
• Write and execute complex SQL queries for data verification
• Validate ETL processes and data integrity in reports and dashboards
• Document test cases, track defects, and ensure timely resolution
• Collaborate with developers, data engineers, and business analysts to resolve issues

Position: Software test Engineer _ETL Test Automation Engineer

Location: Pune

Work mode: Hybrid (2-3 days in office)

Timings: 1 Pm to 9 PM

Experience: 5 to 10 years

Looking for immediate joiners

Company : Dataceria Software solutions

We have an exciting opportunity in the Data Services team for an Software test Engineer _ETL Test Automation Engineer to develop and maintain test, data validation frameworks.

The Test Engineer will ensure stability of data pipelines and metadata management .

Provides technical support and address data-related issues for Product, Data and Design teams.

Knowledge/Skills

• Excellent written and verbal communication skills, along with an ability to effectively interface with both business partners and with technical staff.

• Ability to prioritize multiple tasks and work within timelines to meet project expectations.

• Strong client management, interpersonal and decision-making skills and competencies, attention to detail and the ability to be proactive, prudent and confident in pressure situations are a must.

Qualifications:

The candidate must have experience of the following:

• Bachelor’s or associate degree in computer science or related subject, 5 to 8 years of experience in Data Engineering and Testing roles
• Create and validate database stored procedures along with possible outcomes
• Proficiency in SQL Testing, with a strong emphasis on Snowflake

• DB & API Test Automation
• Experience with Microsoft SQL Server and Snowflake
• Basic to Intermediate level with Java/Python Programming for test automation
• Experience on Test automation using UFT/Selenium
• Execution of test using Jenkins or any other CICD platform
• Understanding of Data Driven Keyword or hybrid test automation frameworks
• Working knowledge of cloud computing architecture/Azure /AWS
• Hands on experience with GIT , Power BI reporting
• Familiarity with data pipeline and workflow management tools like Airflow
• Experience communicating to both technical and business audiences
• Ability to perform root cause analysis of existing models and propose effective solution
• Experience working with Agile methodologies required
• Ensuring application security through the Secure Software Development Lifecycle (SDLC)
• Exceptional problem solving / analytical thinking and skills
• Teamwork and collaboration

Responsibilities:

• Works in parallel with business SMEs and BA staff to create thorough, accurate and comprehensive SQL test queries and scripts

• Update and maintain SQL scripts and test cases as application, business rule changes

• Create appropriate standards and processes to ensure quality and consistency of data in the platform

• Analyze, Organize and validate raw data to ensure accuracy and reliability

• Collaborate with data analytics experts and SMEs to enhance functionality and efficiency with our data ecosystem.

Mandatory:

• Strong experience in SQL.
• DB Testing / ETL Testing
• API Test Automation
• Intermediate level of Core Java/Python programming
• At least 5 to 8 years of experience

Good to Have:

• UI Automation using Selenium
• CI/CD execution using any platform
• Power BI reporting

Dataceria software Solution Pvt Ltd

• We are looking for ETL Tester with Automation for our project in Pune or Bangalore.
• We are looking for immediate joiners with 15 -30 days of notice period.
• Job role is stronger in SQL, ETL Testing with Automation.
• If you are interested send your cv to

With the details below

• Total years of Experience:
• CTC:
• ECTC:
• Notice period:
• Current work Location:
• Resigned or yet to resigned :
• Attach your updated resume to above email:

Responsibilities

• Automate data quality checks and validation processes using SQL, Python, and data testing frameworks.
• Perform reconciliation, integrity, and transformation testing across data platforms.
• Work with AWS SageMaker Studio (Unified Studio) for validating ML/data workflows and integrations.
• Validate data flows on cloud platforms (AWS, Azure).
• Integrate automated data validation into CI/CD pipelines.
• Collaborate with development, data engineering, and analytics teams to align on standards, governance, and quality.

Qualifications

• 4 + years of Experience in Data Engineering.

Required Skills

• Strong QA background with experience in data quality testing and automation.
• Hands-on with Amazon SageMaker Studio (Unified Studio) – must have.
• Advanced SQL for reconciliation and validation of large datasets.
• Scripting skills in Python (PyTest, PySpark, automation scripts).
• Practical experience with cloud data platforms:
• AWS (S3, Glue, Redshift, Athena, SageMaker Studio).
• Familiarity with data testing frameworks (Great Expectations, dbt tests, QuerySurge).
• Knowledge of CI/CD tools (Jenkins, GitHub Actions, Azure DevOps).

Preferred Skills

• Exposure to BI/reporting validation (Power BI, Tableau, Looker).
• Understanding of data governance and metadata management.
• Knowledge of big data ecosystems (Spark, Hadoop).
• API testing experience for data services.

Certifications (Preferred/Plus)

• AWS Certification (AWS Certified Data Analytics, AWS Machine Learning Specialty, or Solutions Architect).
• Microsoft Azure Data Engineer Associate / Google Cloud Professional Data Engineer.
• Snowflake SnowPro Certification.
• Sage Maker Certification.

Title - Data Quality Engineer – Data Platform Modernization

We are seeking a seasoned Data Quality Engineer to drive the test approach to ensure data quality through a large-scale data transformation initiative. Data is a critical enterprise asset and part of project strategic plan.

Data Quality Engineers support that by verifying that data properly ingests according to the defined schema and there is no data corruption. The ideal candidate will have test lead experience, automation experience, agile experience, and familiarity with P&C insurance subject areas.

Key Responsibilities

Test Strategy Leadership

• Drive overall test strategy and create effective test cases and scenarios based on business and user requirements
• Drive test automation strategy, including appropriate tools, coordination with Data Engineering team, and ensuring appropriate balance of manual v automated testing
• Participate in reviews of architecture, design documents, requirements, and code;
  provide feedback to product owners, designers and developers.

Ensure Data Quality

• Validate data that has been transformed via ETL/ELT processes across multiple layers (Medallion Architecture) and environments
• Validate data, user experience (UX), and non-functional requirements (NFRs) for analytical outputs such as data visualizations, dashboards, cubes, and reports
• Expose issues with data inconsistency, quality, security, performance, and end user experience and facilitate appropriate resolution
• Create effective test cases and scenarios based on business and user requirements

Desired Skills & Competencies

Data Acumen

• Understand relational database concepts, including data warehousing, data marts, and have a fundamental understanding of data architecture’s role in supporting data & analytics for an organization, including star schemas, subject areas, and the Medallion architecture
• Ability to read and understand a data model
• Ability to read, understand, and update, source to target mapping documents Industry Acumen
• Understand Agile methodologies
• Understand Property & Casualty and Specialty Insurance

Tools/Software - Jira, Snowflake, Azure, DBT, Python, Power BI

We’re looking for a Data Tester to support our team in Bengaluru(India). This role offers the opportunity to work on meaningful projects, collaborate with talented colleagues, and contribute to the success of a growing company. If you’re someone who takes initiative, values continuous learning, and thrives in a collaborative setting, we’d love to hear from you.

Job Description

• Having more than 5-8 years of experience in IT and minimum 4+ years’ experience in cloud.
• Thorough knowledge of Software Test Life Cycle, Test Case Life Cycle, Defect Life Cycle etc. Proficiency with Test Case Preparation and Execution.
• Experience in Azure Data Bricks / Pyspark
• Knowledge in Azure Data factory will be good to have.
• Knowledge of different Testing framework, tool, methodologies
• Should have experience testing in medium to large projects.
• Should have adequate experience and clear understanding of data warehouse and data mart testing.
• Identification and Test Data Preparation Techniques.
• Leading test team.
• Extensive exposure to Back-end/ETL Testing with high-level of SQL skills is required.
• Should have exposure to large data sets and understand Data Quality Framework.
• Experience in data analysis, including profiling, auditing, balancing, and reconciliation, in an information technology operating environment.
• Defect tracking experience (i.E. Jira, Bugzilla, etc)

As a Quality Engineer - Data , you will be involved in every phase of SDLC and focus on Functional testability, Automation and Performance of the software. More specifically, you will work on:

• Selecting and integrating Data tools and frameworks required to provide requested capabilities.
• Technical guidance for software engineers engaged in the design, coding, reviewing, and testing of enterprise software
• Collaborate with Data Scientists, Data Engineers, and Software Engineers to understand data and models to develop QA tests to validate.
• Implementing ETL testing process

External Skills And Expertise

• Review Data Models, Data Mappings, and Architectural Documentation to create/execute effective SIT Test suit
• Ability to transform complex Business logic into SQL or PL/SQL queries
• Validates data by running queries in the database and verifying that the results match the expectations
• Experience with integration of data from multiple data sources
• Good understanding of Big Data & Cloud concepts
• Knowledge of database and data warehouse concepts, such as star schemas, snowflakes, dimensions, and facts
• Hands on experience in automation testing on data
• Knowledge of programming languages E.G. Python
• Analysis and troubleshooting erroneous results, determining the root cause of defects, and logging defects in defect management tools, including working with the development team on the resolution of Software related defects
• Works closely with the Software development team (Business Analysts, Developers & other testers) to ensure timely and effective testing effort
• Strong analytical and excellent communication skills
• Experience with BI tools like PowerBI and Tableau is a plus