data validation engineer

SALLA

<div>Salla, a leading e-commerce platform, is seeking a Senior Data Quality Engineer to ensure the accuracy, consistency, and reliability of our organization&rsquo;s data pipelines. As a Data Quality Engineer, you will be responsible for defining data quality standards, implementing quality frameworks, monitoring key metrics, and driving continuous improvements. This role requires both technical expertise and strong communication skills to collaborate across teams including data engineering, analytics, and business stakeholders.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul>
<li>Design, implement, and maintain data quality frameworks and best practices.</li>
<li>Define and monitor data quality KPIs such as completeness, accuracy, timeliness, and consistency.</li>
<li>Conduct data profiling, validation, and cleansing across multiple systems and databases.</li>
<li>Writing SQL/ETL tests to catch issues early</li>
<li>Building data validation and monitoring pipelines</li>
<li>Validating data flows in real time across multiple systems</li>
<li>Collaborating with data engineers, analysts, and business teams to fix root causes</li>
<li>Creating data quality metrics &amp; dashboards</li>
<li>Setting up alerts for anomalies</li>
<li>Automating data cleansing and standardization processes</li>
<li>Lead root cause analysis and corrective action plans for recurring data issues.</li>
<li>Stay up-to-date with industry best practices and emerging trends in data quality assurance.</li>
<li>Bachelor&rsquo;s degree in Computer Science, Data Management, Information Systems, or a related field.</li>
</ul><ul><li>Knowledge of e-commerce or retail industry is a plus.</li>
<li>Ability to work independently and as part of a team.</li>
<li>Ability to work cross-functionally and influence stakeholders at different levels</li></ul>
Requirements<ul>
<li>
5+ years of experience in data quality assurance or a similar role.</li>
<li>Proficiency in SQL and experience with relational databases.</li>
<li>Strong in Python or R or any other language used for data validation and automation.</li>
<li>Hands-on experience with ETL tools and data pipelines.</li>
<li>Solid understanding of data modeling, metadata management, and master data concepts.</li>
<li>Strong problem-solving, analytical thinking, and communication skills.</li>
<li>Effective communication skills, both verbal and written.</li>
<li>Experience with data quality tools and software.</li>
<li>Proven ability to design and implement automated QA/data validation pipelines.</li>
</ul>
Benefits<ul>
<li>Medical Health Insurance</li>
<li>Performance Bonus</li>
<li>Other Benefits</li></ul></div>

Senior Data Quality Engineer

VALUEMOMENTUM Inc

<div><div>Job Title: Software Engineer - Testing</div>
<div>Job ID: POS-16281</div>
<div>Primary Skill: ETL Testing</div>
<div>Location: Hyderabad
</div><div>Experience: 4.00</div> 
 
<div>Key Skills: Data QA
Job Location: Hyderabad/Pune/Coimbatore 
Mode of Work: Work From Office
Experience: 4-5 Years 
About the job: 
As a Data Test Engineer, you will be responsible for validating data sources, building complex SQL queries, extracting data, ingesting, application of transformation logic, running / analysing batch job runs and uploading data in target tables. You will be responsible for designing, Data Mapping, testing, and troubleshooting the client&rsquo;s data storage system before it goes live. You must have strong technical capabilities and good knowledge of the coding languages commonly used in ETL development, such as Python, SQL, XML, Informatica, and data warehousing concepts. You should have knowledge on Troubleshooting, Log analysis, Perform RCA for bugs and errors and finding solutions for ETL Development. 
Know your team:
At ValueMomentum Technology Solution Centers, we are a team of passionate software engineering teams who thrive on tackling complex business challenges with innovative solutions catering to the P&amp;C insurance value chain. We achieve this through a strong software engineering foundation and by continuously refining our processes, methodologies, tools, agile delivery teams, and core engineering archetypes. Our core expertise lies in six key areas: Platforms, Infra/Cloud, Application, Data, Core, and Quality Assurance. 
Join our team that invests in your growth. Our Infinity Program empowers you to build your career with role-specific skill development, leveraging immersive learning platforms. You'll have the opportunity to work with some of the best minds serving insurance customers in the US, UK and Canadian markets. 
Responsibilities:<ul><li>
Develop and implement data testing strategies and methodologies to ensure the accuracy, completeness, and integrity of data in P&amp;C insurance software solutions.</li><li>
Conduct thorough data validation to identify and resolve data quality issues.</li><li>
Design comprehensive test plans, test cases, and test scenarios for data validation, ensuring coverage of data completeness, correctness, and consistency.</li><li>
Execute data testing activities, including both manual and automated tests, according to defined test plans and cases.</li><li>
Develop, maintain, and enhance automated test scripts and frameworks for data validation using SQL, Python, or similar scripting languages.</li><li>
Implement automated data validation checks to streamline the testing process and ensure timely detection of data issues.</li><li>
Test ETL processes to validate data extraction, transformation, and loading procedures.</li><li>
Ensure that data flows correctly through various stages of the ETL pipeline and meets predefined quality standards.</li><li>
Collaborate with development and data engineering teams to prioritize and resolve data-related defects promptly.</li><li>
Perform regression testing to ensure that data-related changes and enhancements do not introduce new data quality issues.</li><li>
Ensure adherence to established quality standards, processes, and best practices throughout the testing process.</li></ul> 
Requirements:<ul><li>
Bachelor&rsquo;s degree in computer science, Information Technology, or related field.</li><li>
Minimum 4-5 years of experience in software quality assurance, with a focus on data testing and validation.</li><li>
Good understanding of Property and Casualty (P&amp;C) insurance concepts, data models, and workflows. Knowledge of insurance-related data structures and regulatory requirements is advantageous.</li><li>
Strong skills in writing and executing complex SQL queries for data validation and analysis.</li><li>
Solid understanding of data testing principles, methodologies, and best practices. Experience with both manual and automated data testing.</li><li>
Proficiency in developing and maintaining automated test scripts and frameworks for data validation using tools such as Python, SQL, or similar scripting languages.</li><li>
Familiarity with ETL processes and tools for testing data extraction, transformation, and loading workflows.</li><li>
Experience with data quality assurance tools and frameworks, such as Informatica Data Quality, Talend, or similar.</li><li>
Familiarity with defect tracking and test management tools such as Jira, HP ALM, or similar.</li><li>
Good understanding of regression testing techniques and practices.</li><li>
Proactive approach to taking ownership of tasks and driving them to completion.</li><li>
Proficiency in Agile methodologies and experience working in Agile environments.</li><li>
Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.</li><li>
Strong analytical and critical thinking skills, with keen diligence.</li><li>
Experience working in Agile environment following Onsite Offshore mode.</li></ul> 
</div> 
<div><div>About the Company: 
 
ValueMomentum is a leading solutions provider for the global property and casualty insurance industry. The company helps insurers stay ahead with sustained growth and high performance, enhancing stakeholder value and fostering resilient societies. Having served over 100 insurers, ValueMomentum is one of the largest services providers exclusively focused on the insurance industry. 
</div> 
<div>Benefits: 
 
We at ValueMomentum offer you a congenial environment to work and grow in the company of experienced professionals. Some benefits that are available to you are:
<ul><li>Competitive compensation package.</li>
<li>Career Advancement: Individual Career Development, coaching and mentoring programs for professional and leadership skill development.</li>
<li>Comprehensive training and certification programs.</li>
<li>Performance Management: Goal Setting, continuous feedback and year-end appraisal. Reward &amp; recognition for the extraordinary performers.</li></ul></div></div></div>

Software Engineer - Testing

Confiz

<div>We are undergoing a significant data transformation to ensure that accurate and consistent data is available precisely when and where it's needed.
Responsibilities:
<ul><li>Write PySpark and SQL scripts to validate data pipelines, transformations, and integrations.</li>
<li>Design and run tests for data validation, storage, and retrieval using Azure services like Data Lake, Synapse, and Data Factory, adhering to industry standards.</li>
<li>Continuously enhance automated tests as new features are developed, ensuring Participate in data reconciliation and verify Data Quality frameworks to maintain data accuracy, completeness, and consistency across the platform.</li>
<li>Formulate and maintain test strategies&mdash;including smoke, performance, functional, and regression testing&mdash;to ensure data processing and ETL jobs meet requirements.</li>
<li>Collaborate with development teams to assess changes in data workflows and update test cases to preserve data integrity.</li>
<li>Share knowledge and best practices by collaborating with business analysts and technology teams to document testing processes and findings.</li>
<li>Communicate testing progress effectively with stakeholders, highlighting issues or blockers, and ensuring alignment with business objectives.</li>
<li>Maintain a comprehensive understanding of the Azure Data Lake platform's data landscape to ensure thorough testing coverage.</li>
</ul>
Requirements:
<ul><li>Bachelor&rsquo;s degree in computer science or related discipline</li>
<li>3-6 years of hands-on experience in Data Engineering particularly in Data Lake environments on Azure's cloud platform.</li>
<li>Proficient in Azure Data Factory, Azure Synapse Analytics and Databricks for big data processing and scaled data quality checks.</li>
<li>Proficiency in SQL, capable of writing and optimizing both simple and complex queries for data validation and testing purposes.</li>
<li>Proficient in PySpark, with experience in data manipulation and transformation, and a demonstrated ability to write and execute test scripts for data processing and validation.</li>
<li>Hands-on experience with Functional &amp; system integration testing in big data environments, ensuring seamless data flow and accuracy across multiple systems.</li>
<li>Knowledge and ability to design and execute test cases in a behaviour-driven development environment.</li>
<li>Fluency in Agile methodologies, with active participation in Scrum ceremonies and a strong understanding of Agile principles.</li>
<li>Familiarity with tools like Jira, including experience with X-Ray or Jira Zephyr for defect management and test case management.</li>
<li>Proven experience working on high-traffic and large-scale software products, ensuring data quality, reliability, and performance under demanding conditions.</li>
<li>Identify and resolve issues in complex Big Data environments, ensuring data accuracy and system efficiency.</li>
<li>Initiate and manage tasks, delivering high-quality results within deadlines in a dynamic setting.</li>
<li>Confidently challenge existing assumptions and processes to enhance data engineering and QA practices.</li>
<li>Maintain organized testing schedules and documentation, ensuring thorough coverage of all scenarios.</li>
<li>Exhibit strong interpersonal skills, working effectively in cross-functional, multicultural teams with minimal supervision.</li>
<li>Comfortable in Agile and Scrum environments, proficient with tools like Jira, and adaptable to changing priorities.</li>
<li>Manage multiple projects simultaneously, demonstrating strong planning and organizational skills to ensure timely task completion.</li>
</ul>
We have an amazing team of 700+ individuals working on highly innovative enterprise projects &amp; products. Our customer base includes Fortune 5 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups.
What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM) and ISO 14001:2015 (EMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.
People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.
To know more about Confiz Limited, visit: https://web.facebook.com/lifeatconfiz</div>

Data Engineer in Test

<div>We are undergoing a significant data transformation to ensure that accurate and consistent data is available precisely when and where it's needed.
Responsibilities:
<ul><li>Write PySpark and SQL scripts to validate data pipelines, transformations, and integrations.</li>
<li>Design and run tests for data validation, storage, and retrieval using Azure services like Data Lake, Synapse, and Data Factory, adhering to industry standards.</li>
<li>Continuously enhance automated tests as new features are developed, ensuring Participate in data reconciliation and verify Data Quality frameworks to maintain data accuracy, completeness, and consistency across the platform.</li>
<li>Formulate and maintain test strategies&mdash;including smoke, performance, functional, and regression testing&mdash;to ensure data processing and ETL jobs meet requirements.</li>
<li>Collaborate with development teams to assess changes in data workflows and update test cases to preserve data integrity.</li>
<li>Share knowledge and best practices by collaborating with business analysts and technology teams to document testing processes and findings.</li>
<li>Communicate testing progress effectively with stakeholders, highlighting issues or blockers, and ensuring alignment with business objectives.</li>
<li>Maintain a comprehensive understanding of the Azure Data Lake platform's data landscape to ensure thorough testing coverage.</li>
</ul>
Requirements:
<ul><li>Bachelor&rsquo;s degree in computer science or related discipline</li>
<li>3-6 years of hands-on experience in Data Engineering particularly in Data Lake environments on Azure's cloud platform.</li>
<li>Proficient in Azure Data Factory, Azure Synapse Analytics and Databricks for big data processing and scaled data quality checks.</li>
<li>Proficiency in SQL, capable of writing and optimizing both simple and complex queries for data validation and testing purposes.</li>
<li>Proficient in PySpark, with experience in data manipulation and transformation, and a demonstrated ability to write and execute test scripts for data processing and validation.</li>
<li>Hands-on experience with Functional &amp; system integration testing in big data environments, ensuring seamless data flow and accuracy across multiple systems.</li>
<li>Knowledge and ability to design and execute test cases in a behaviour-driven development environment.</li>
<li>Fluency in Agile methodologies, with active participation in Scrum ceremonies and a strong understanding of Agile principles.</li>
<li>Familiarity with tools like Jira, including experience with X-Ray or Jira Zephyr for defect management and test case management.</li>
<li>Proven experience working on high-traffic and large-scale software products, ensuring data quality, reliability, and performance under demanding conditions.</li>
<li>Identify and resolve issues in complex Big Data environments, ensuring data accuracy and system efficiency.</li>
<li>Initiate and manage tasks, delivering high-quality results within deadlines in a dynamic setting.</li>
<li>Confidently challenge existing assumptions and processes to enhance data engineering and QA practices.</li>
<li>Maintain organized testing schedules and documentation, ensuring thorough coverage of all scenarios.</li>
<li>Exhibit strong interpersonal skills, working effectively in cross-functional, multicultural teams with minimal supervision.</li>
<li>Comfortable in Agile and Scrum environments, proficient with tools like Jira, and adaptable to changing priorities.</li>
<li>Manage multiple projects simultaneously, demonstrating strong planning and organizational skills to ensure timely task completion.</li>
</ul>
We have an amazing team of 700+ individuals working on highly innovative enterprise projects &amp; products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups.
What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM), ISO 14001:2015 (EMS), ISO 45001:2018 (OHSMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.
People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.
To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/</div>

VaporVM

<div><div><div>Date Posted:</div>
20 October, 2025</div>
<div><div>Industry:</div>
IT Services and IT Consulting</div>
<div><div>Location:</div>
VAPORVM IT SERVICES DMCC</div></div>
 <div><h2 class="jobSectionHeader">Job Description:</h2>
<div>Role Overview:

We seek a Senior QA Engineer to lead the design, testing, validation, and automation of QA strategies across our Data &amp; AI programs. The role spans testing data pipelines, AI/ML models, Generative AI (LLM) applications, and multi-agent (Agentic AI) workflows, ensuring solutions meet the highest standards of accuracy, reliability, fairness, security, and compliance. The ideal candidate will bring hands-on expertise in testing LLM-based applications and Agentic AI systems, along with strong foundations in data quality assurance and AI/ML model validation.

Key Responsibilities:
<ul>
<li>Define 
and enforce QA frameworks, processes, and standards for data pipelines, 
AI/ML models, GenAI/LLM applications, and agent-based AI systems.</li>
<li>Develop and automate data validation tests (integrity, consistency, lineage, schema drift).</li>
<li>Design and execute ML model validation tests, including performance, fairness, bias, and reproducibility.</li>
<li>Implement 
automated prompt-response validation for GenAI/LLM applications 
(semantic similarity, factuality, hallucination detection).</li>
<li>Integrate QA processes into CI/CD, MLOps, and LLMOps workflows.</li>
<li>Develop monitoring and alerting systems for data drift, model decay, and pipeline failures.</li>
<li>Define, track, and report on AI evaluation metrics.</li>
<li>Ensure compliance with AI governance, ethics, security, and privacy requirements.</li>
<li>Document QA processes, maintain reusable test cases, and support audits.</li>
</ul>
Skills &amp; Qualifications:
<ul>
<li>5+ years of experience in Quality Assurance, with at least 2+ years focused on Data, AI/ML, GenAI, or Agentic AI testing.</li>
<li>Proven experience testing LLM/GenAI applications (prompt testing, RAG pipelines, grounding validation, hallucination detection).</li>
<li>Experience testing Agentic AI workflows (multi-agent orchestration, decision-making validation, safety guardrails).</li>
<li>Strong Python skills and proficiency with testing frameworks (PyTest, unittest).</li>
<li>Knowledge of ML evaluation metrics (precision, recall, F1, ROC, fairness, bias testing).</li>
<li>Familiarity with AI governance, compliance, and privacy testing.</li>
<li>Strong analytical skills, with attention to detail and quality.</li>
<li>Excellent communication and collaboration skills for cross-functional work.</li>
<li>Excellent writing/ verbal communication in Arabic/ English</li></ul></div></div>

Software QA Engineer

<div>We are seeking an experienced Azure Data Engineer (5+ years) with strong expertise in data warehousing on lakehouse architecture, data engineering, data quality, and governance. The ideal candidate will design and build scalable data pipelines on Microsoft Fabric, implement data quality frameworks, and operationalize governance processes using Microsoft Purview. This role combines technical delivery with data compliance, ensuring trusted and well-governed data across the organization.
Key Responsibilities
<ul><li>Design and develop batch data pipelines using Fabric Pipelines and PySpark.</li>
<li>Implement data quality rules, validation checks, and monitoring dashboards.</li>
<li>Develop data catalog, lineage, classification, and business glossary in Microsoft Purview.</li>
<li>Enforce data governance policies, standards, and best practices across Microsoft Fabric</li>
<li>Collaborate with DevOps to automate deployments using Azure DevOps.</li>
<li>Integrate data quality in CI/CD pipelines through Azure DevOps.</li>
<li>Ensure compliance with data privacy regulations (e.g., PDPL).</li>
<li>Partner with business and data stewards to improve overall data integrity and usability.</li>
</ul>
Required Skills &amp; Experience
<ul><li>5+ years of experience in data engineering, quality, and governance roles.</li>
<li>Strong hands-on experience with Azure Data Factory, Apache Spark (PySpark), and Azure Synapse/Fabric.</li>
<li>Proven expertise in Microsoft Purview for governance and catalog management.</li>
<li>Proficient in Python and SQL for data processing and validation.</li>
<li>Understanding of data quality dimensions, profiling, and cleansing techniques.</li>
<li>Strong analytical, problem-solving, and communication skills.</li>
<li>Experience with Great Expectations or similar data validation tools is a plus.</li>
</ul>
Preferred Qualifications
<ul><li>Microsoft Certified: Fabric Data Engineer Associate or equivalent certification.</li>
<li>Experience with Microsoft Fabric and AI-driven metadata or quality tools.</li>
</ul>
We have an amazing team of 700+ individuals working on highly innovative enterprise projects &amp; products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups.
What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM), ISO 14001:2015 (EMS), ISO 45001:2018 (OHSMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.
People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.
To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/</div>

Principal Data Engineer – Data Quality & Governance

Amaris Consulting

<div>
 
 Amaris Consulting is seeking an experienced
 
 E&amp;E Testing Engineer
 
 to join our global automotive partner&rsquo;s engineering team. Working in a
 
 hybrid model
 
 , you will be responsible for the
 
 testing and validation of Electrical &amp; Electronic (E&amp;E) systems
 
 , ensuring the reliability, functionality, and compliance of complex automotive components. This role involves both
 
 bench testing
 
 and
 
 vehicle-level validation
 
 activities.
 
 
 
 
 
 
 Main Responsibilities
 
 
 <ul>
 <li>
 Prepare, execute, and monitor
 
 test plans
 
 for both
 
 bench and vehicle tests
 
 in accordance with project timelines.
 </li>
 <li>
 Perform
 
 fault diagnosis
 
 ,
 
 troubleshooting
 
 , and
 
 root cause analysis
 
 for detected issues.
 </li>
 <li>
 Carry out
 
 software reflashing
 
 and
 
 electronic control unit (ECU) updates
 
 as part of the validation process.
 </li>
 <li>
 Ensure the
 
 operability, calibration, and maintenance
 
 of test equipment and tools.
 </li>
 <li>
 Analyze
 
 test data
 
 and prepare detailed
 
 validation reports
 
 aligned with project and
 
 test methodologies
 
 .
 </li>
 <li>
 Track
 
 open points
 
 , document findings, and collaborate with cross-functional engineering teams to resolve issues.
 </li>
 <li>
 Support the
 
 assembly line
 
 and
 
 vehicle modernization
 
 teams when required, ensuring seamless test-to-production transitions.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in
 
 Electrical/Electronics Engineering
 
 or
 
 Mechanical Engineering
 
 .
 </li>
 <li>
 Experience in
 
 E&amp;E system testing
 
 ,
 
 validation
 
 , and
 
 fault diagnosis
 
 within the automotive sector.
 </li>
 <li>
 Proficiency in
 
 data logging
 
 ,
 
 validation documentation
 
 , and use of
 
 Microsoft Office
 
 and related analysis tools.
 </li>
 <li>
 Strong understanding of
 
 vehicle test environments
 
 and
 
 bench test setups
 
 .
 </li>
 <li>
 
 Proficiency in English.
 
 </li>
 </ul>
 
 
 
 
 
 What We Offer
 
 
 
 Join Amaris Consulting to play a key role in the
 
 testing, validation, and continuous improvement of advanced automotive E&amp;E systems
 
 . You will collaborate with international experts, contribute to
 
 vehicle innovation and modernization
 
 , and ensure the delivery of high-quality electronic components across global projects.
 
 
 
 
 
 
 Amaris Consulting is committed to promoting diversity within its workforce and to creating an inclusive work environment. We consider applications from all qualified individuals, regardless of gender, sexual orientation, race, ethnic origin, beliefs, age, marital status, disability, or any other characteristic. Special attention will be given to candidates with disabilities.
 
 
</div>

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