100 Data Testing Jobs - Page 4

Job description Min 8-10 years of experience on Manual/Automation testing Able to develop automation scripts using keyword based tool Experience in any of the OOPS (JAVA/Python/C# (Atleast one preferred)) Strong understanding of OOPS Concepts

The Team: A part of Ratings Technology, the Ratings QA team leads the IT organization in the delivery of trusted quality to our users. From a foundation of disciplined processes, QA seeks out innovative testing solutions, reliable & transparent test execution, and aspires towards continuous improvement in achieving top quality. In close partnership with Product Management and Development Team, QA team members help drive quality accountability, and work to ensure our end users receive reliable, stable, defect free products, which help confidently execute our business and elevate our products. The Impact: As an S&P Global Ratings QA ART Lead, you will partner with equivalent level Product Management and Development peers to lead the successful delivery of a defined product portfolio for our internal and external customers. The role focusses on developing effective product strategy roadmaps, building end to end product test strategy encompassing automation (API/DB/UI level), data and environment, defining managing supporting people & processes, and guiding associated projects to successful delivery with a product-oriented and proactive quality mindset. The QA Strategic Lead is part of the broader Ratings QA organization, but aligned to the Analytical/Commercial portfolio in day-to-day delivery accountability with reporting directly into the Value Stream Lead. Whats in it for you: List 3-4 bullets highlighting the opportunity/selling-points to the applicant; growth/development opportunities, exposure to policy makers/market leaders, global nature of the role, etc. Utilizing your industry-proven experience and planning practices to contribute to the assessment of business needs, organizational capabilities, IT investments and insights to design and execute actionable QA strategies and tactical plans, with an awareness of product value realization and customer satisfaction. You will lead a group of quality engineers, who play a QA leadership role amongst our product Scrum teams, providing them with career and skills growth opportunities and interface with senior leadership by facilitating clear communication and leadership surrounding the quality and strategic direction of our products. Help lead our successful delivery, collaborating with both product management and engineering partners to set direction, build consensus, resolve challenges, and create an environment which draws contributions from all participants within and across the portfolios, the scrum teams, and QA community of practice. Responsibilities: Define and build end to end product test strategy encompassing automation, data and environment approach based on product roadmaps built by the different scrum teams Lead and manage execution of the product strategy by a global product quality assurance team, oversee related functions including QA strategy, automation, data, environment, performance, and resourcing, supporting the delivery of top quality in Analytical Tools. Provide tactical planning, SAFE agile execution and direction on reports, communications, and training materials and ensure recommendations are aligned with customer/organization needs and capabilities. Function as a trusted product leadership team member, who collaborates with both product management and engineering partners to set direction, build consensus, resolve challenges, and helps to create an environment which solicits contributions from all participants within and across the portfolios, the scrum teams, and QA community of practice. Using our SAFE methodology, contribute to the IT product portfolio ownership, including the creation and maintenance of the overall product roadmaps and supporting QA strategy for both existing and new product systems, assuring top quality for all stakeholders. Define, document and adhere to SAFE processes and operational policies by building upon and improving what is already in-place. Through the adoption of new methodologies, test automation, RPA and other advanced testing methods, provide leadership in certifying applications for our DevOps/CI/CD/CT strategy leading to true cloud native operations for the product portfolio. Contribute to the evolution and delivery of world class quality assurance operations that are a showcase of process documentation, communication and defect reduction. Promote and drive innovation in technologies, processes, and tools for cutting-edge development. Help lead the organization towards efficiency using AI tools and techniques. What Were Looking For: Basic Qualifications: Bachelors degree, BS degree in Computer Science, Information Technology or software engineering preferred. 10+ years of Technology experience within the financial services industry or a regulated industry; 7+ years of leadership experience with a software engineering team, preferably in a product delivery oriented environment. Demonstrated experience of delivering successful end-to-end quality with complex analytical & financial platforms and data sets, with regulatory & compliance considerations. Ability to lead development of strategic plans and operating plans, to grow, enhance quality assurance procedures, processes and transform a business. Experience with test driven development, testing frameworks (including data testing, service testing, performance testing, load testing etc), test automation and RPA. Strong analytical thinking, interpersonal, oral and written communication skills with strong ability to influence both technology and business partners. Preferred Qualifications: Masters degree preferred Knowledge of Python and Selenium automation is necessary. Strong experience implementing automated testing in cloud environments in a DevOps/CI/CD based environment where automation is the basis for defect free releases. Experience collaborating effectively with global cross-product teams for successful delivery & problem solving. Strong knowledge of SAFE approaches to software testing and able to define, document and put key SAFE principles into practice to test solutions incrementally including continuous testing. Strong continuous improvement mindset, with demonstrated ability to lead & deliver solutions to complex problems. Experience working with AI tools (Copilot etc) is beneficial.

The Team: part of Secure Access Management (SAM) team within S&P Global Market Intelligence, the SAM QA team leads the IT organization in the delivery of trusted quality to our users. From a foundation of disciplined processes, QA seeks out innovative testing solutions, reliable & transparent test execution, and aspires towards continuous improvement in achieving top quality. In close partnership with Product Management and Development Team, QA team members help drive quality accountability, and work to ensure our end users receive reliable, stable, defect free products, which help confidently execute our business and elevate our products. The Impact: As SAM QA ART Lead, you will partner with equivalent level Product Management and Development peers to lead the successful delivery of a defined product portfolio for our internal and external customers. The role focusses on building end to end product test strategy encompassing automation (API/DB/UI level), data and environment, defining managing supporting people & processes, and guiding associated projects to successful delivery Whats in it for you: You will lead a group of quality engineers for Authentication and Entitlement teams within SAM, who play a QA leadership role amongst our product Scrum teams, providing them with career and skills growth opportunities and interface with senior leadership by facilitating clear communication and leadership surrounding the quality and strategic direction of our products. Responsibilities: Define and build end to end SAM platform product test strategy encompassing automation, data and environment approach based on product roadmaps built by the different scrum teams Lead team of QA members and guide, coach and mentor them to help in their skills and career growth Through the adoption of new methodologies, test automation, RPA and other advanced testing methods, provide leadership in certifying applications for our DevOps/ CI/CD/CT strategy leading to true cloud native operations for the product portfolio. Contribute to the evolution and delivery of world class quality assurance operations that are a showcase of process documentation, communication and defect reduction. Promote and drive innovation in technologies, processes, and tools for cutting-edge development. Help lead the organization towards efficiency using AI tools and techniques. What Were Looking For: Bachelors degree, BS degree in Computer Science, Information Technology or software engineering preferred. 12+ years of Technology experience within the financial services industry or a regulated industry; 7+ years of leadership experience with a quality engineering team, preferably in a product delivery-oriented environment. Demonstrated experience of delivering successful end-to-end quality with complex platforms and data sets. Ability to lead development of strategic plans and operating plans, to grow, enhance quality assurance procedures, processes and transform a business. Experience with test driven development, testing frameworks (including data testing, service testing, performance testing, load testing etc), test automation Strong analytical thinking, interpersonal, oral and written communication skills with strong ability to influence both technology and business partners.

Job Greeting. We are looking for Tosca Automation Test Engineer (With experience in Database Testing OR ETL OR Writing SQL Queries. We don't have any demand in ETL Testing, and neither we have any demand in Manual Test Role - Tosca Automation Test Engineer (With experience in Database Testing OR ETL OR Writing SQL Queries. Tosca Automation Must have good Experience in Database Testing OR ETL Testing OR Backend Testing OR Must have skills /Mandatory Skills Tosca Automation+ API Testing+ Database Testing Experience Range -3+ Yrs. Location – Pune/Hyderabad /Bangalore /Chennai. Work Mode – Min 2 days are mandatory to work from home. Salary – Experience between 3- 5 Years ( 9-13 LPA), If Experience is more than 7+ Yrs. ( Salary -Up to 15 LPA) -Fixed CTC Point to be remember Pls fill the Candidate Summary Sheet. Not Considering more than 30 days’ notice period. Highlights of this role. It’s a long term role. High Possibility of conversion within 6 Months or After 6 months ( if you perform well). Interview -Total 2 rounds of Interview ( Both Virtual), but one face to face meeting is mandatory @ any location - Pune/Hyderabad /Bangalore /Chennai. Client Company – One of Leading Technology Consulting Payroll Company – One of Leading IT Services & Staffing Company ( This company has a presence in India, UK, Europe , Australia , New Zealand, US, Canada, Singapore, Indonesia, and Middle east. Do not change the subject line or do not create new email while sharing /applying for this position. Pls reply on this email thread only. Role - Tosca Automation Test Engineer ( With experience in Database Testing OR ETL OR Writing SQL Queries. We are seeking a highly skilled and experienced Senior Tosca Automation Test Engineer with a proven track record of designing, developing, and executing robust automation solutions using Tricentis Tosca. The ideal candidate will have extensive experience in end-to-end testing, including a strong emphasis on database validation, API testing, and UI automation, within an Agile/DevOps environment. Required Skills & Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. 6+ years of progressive experience in software quality assurance, with a strong focus on test automation. Minimum 3-5 years of hands-on experience with Tricentis Tosca for test automation. Strong expertise in database testing, including advanced SQL querying (e.g., joins, subqueries, DML operations, aggregate functions). Proven experience with API testing and automation using Tosca. In-depth understanding of software testing methodologies (Agile, Scrum, Waterfall) and the Software Development Life Cycle (SDLC). Extensive experience in database testing (SQL/NoSQL) to validate data integrity, consistency, and accuracy. Write complex SQL queries (joins, subqueries, aggregate functions) to perform data validation, compare expected vs. actual results, and verify backend data operations. *** Mandatory to share ***Candidate Summary Sheet*** Interested parties can share their resume at (shant@harel-consulting.com) along with below details Your Name – Contact NO – Email ID – Do you have valid passport – Total Experience – Experience in Automation Testing – Experience in Tosca Automation - Experience in database testing – Experience in SQL - Current CTC – Expected CTC – What is your notice period in your current Company- Are you currently working or not- If not working then when you have left your last company – Current location – Preferred Location – It’s a Contract to Hire role, Are you ok with that- Highest Qualification – Current Employer (Payroll Company Name) Previous Employer (Payroll Company Name)- 2nd Previous Employer (Payroll Company Name) – 3rd Previous Employer (Payroll Company Name)- Are you holding any Offer – Are you Expecting any offer - Are you open to consider Contract to Hire role , It’s a C2H Role- PF Deduction is happening in Current Company – PF Deduction happened in 2nd last Employer- PF Deduction happened in 3 last Employer – Latest Photo - If incase you are working with a company whose employee strength is less than 2000 employees, than its mandatory to share UAN Service history. BR Shantpriya Harel Consulting shant@harel-consulting.com 9582718094

Job type Contract to HIRE 4-5 years of hands-on experience on GenRocket Tool. Strong SQL knowledge with ability to write complex queries (example Left, right joins etc..) 3. Strong knowledge in SQL server, MSSQL, Microsoft Azure, ADF and synapse for nata base validation 4. Intermediate knowledge on ETL Transformations, workflows, STTM mappings (source to Target Data mappings) 5. Strong Knowledge on powershell scripting. 6. Ability to test Data validation and Data Transformation from source to Target 7. Data validation: Validating Data sources, Extracting data, and applying transformation logic 8. Test planning & Execution: Defining testing scope, Prepares test cases and test conditions, Test Data preparation 9. Coordinating test activities with Dev, BA & DBA and conduct defect triage for resolution of issues 10. Test quality: Ensuring the quality of their work and the work of the development team 11. QA Test documentation: Creating and maintaining documentation of test plans, test deliverables document such as QA Estimates, RTM (requirement traceability matrix, Peer reviews, QA sign-off documents. 12. Hands experience working on ADO/JIRA for test management, reporting defects and Dashboards creation. 13. Ability to Identify and report the risks and provide the mitigation plans. Coordinate with internal and external teams for completion of activities. If you are interested in, please share the update profile with below details. Current CTC Expected CTC Notice Period Total Experience Relevant Experience Location Mumbai, Pune, Banglore,Hyderabad

Big Data Tester Requirements: • Experience 4-8 years • Good knowledge and hands on experience of Big Data (HDFS, Hive, Kafka) testing. (Must) • Good knowledge and hands on experience of SQL(Must). • Good knowledge and hands on experience of Linux (Must) • Well versed with QA methodologies. • Manual + Automation will work. • Knowledge of DBT, AWS or Automation testing will be a plus.

Position: Data Testing Experience: 5-12 years Location: Mumbai Required Skills and Qualifications: BachelorsMasters degree in Computer Science Information Technology or related field 8-12 years of testing experience with 3 years in a leadership role Strong experience in data warehouse ETL and BI testing Expertise in Qlik QlikView Qlik Sense testing and validation Advanced SQL skills and database management knowledge Proven experience in test management tools ALM JIRA Strong understanding of testing methodologies and quality frameworks Experience in managing performance testing initiatives Excellent project management and risk assessment skills Strong leadership and team management abilities Outstanding communication and stakeholder management skills Experience in resource planning and capacity management Preferred Qualifications: Experience with test automation frameworks and strategies Knowledge of multiple BI platforms Tableau Power BI Understanding of data governance and compliance requirements Experience with Agile Scrum methodologies testing certifications ISTQB CSTE Experience in implementing test automation frameworks Knowledge of industry best practices in data quality management Experience in managing offshore onshore testing teams Strong analytical and problem solving skills Ability to work under pressure and meet deadlines Experience in handling multiple projects simultaneously Understanding of data governance and compliance requirements Experience with Agile Scrum methodologies testing certifications ISTQB CSTE Experience in implementing test automation frameworks Knowledge of industry best practices in data quality management Experience in managing offshore onshore testing teams Strong analytical and problem solving skills Ability to work under pressure and meet deadlines Experience in handling multiple projects simultaneously

Job Summary: We are seeking a skilled Big Data Tester & Developer to design, develop, and validate data pipelines and applications on large-scale data platforms. You will work on data ingestion, transformation, and testing workflows using tools from the Hadoop ecosystem and modern data engineering stacks. Experience - 6-12 years Key Responsibilities: • Develop and test Big Data pipelines using Spark, Hive, Hadoop, and Kafka • Write and optimize PySpark/Scala code for data processing • Design test cases for data validation, quality, and integrity • Automate testing using Python/Java and tools like Apache Nifi, Airflow, or DBT • Collaborate with data engineers, analysts, and QA teams Key Skills: • Strong hands-on experience in Big Data tools: Spark, Hive, HDFS, Kafka • Proficient in PySpark, Scala, or Java • Experience in data testing, ETL validation, and data quality checks • Familiarity with SQL, NoSQL, and data lakes • Knowledge of CI/CD, Git, and automation frameworks We are looking for a skilled PostgreSQL Developer/DBA to design, implement, optimize, and maintain our PostgreSQL database systems. You will work closely with developers and data teams to ensure high performance, scalability, and data integrity. Experience - 6 to 12 years Key Responsibilities: • Develop complex SQL queries, stored procedures, and functions • Optimize query performance and database indexing • Manage backups, replication, and security • Monitor and tune database performance • Support schema design and data migrations Key Skills: • Strong hands-on experience with PostgreSQL • Proficient in SQL, PL/pgSQL scripting • Experience in performance tuning, query optimization, and indexing • Familiarity with logical replication, partitioning, and extensions • Exposure to tools like pgAdmin, psql, or PgBouncer

Design, develop, execute automated test scripts for ETL pipelines Automate data validation processes between source and target systems Build reusable test automation frameworks for ETL workflows Create test data, write complex SQL queries Required Candidate profile Identify bottlenecks and data quality issues across the data pipeline Collaborate with developers, analysts, and QA team to define automation coverage Maintain test suites and update scripts Perks and benefits Perks and Benefits

Perform ETL testing to verify data extraction, transformation, loading Validate data movement across systems, ensuring data consistency, quality Write complex SQL queries to validate data source, target Conduct data reconciliation, data profiling Required Candidate profile Collaborate with all Create and maintain test cases, test plans, and test reports Identify, log, and track defects and data issues Work with various DB systems (Oracle, SQL Server, PostgreSQL, etc.) Perks and benefits Perks and Benefits

ISS STOXX is actively hiring for Lead Data Quality Analyst to join our QBIT Team (Quality Assurance Benchmarking and Independent Testing) in Mumbai (Goregaon East), India. Overview: The Data Quality team independently verifies the accuracy of various models, data solutions, data processes, and business logic related to corporate governance and responsible investing. This includes developing prototypes, devising test cases, conducting production code reviews, and documenting results. The role involves designing, planning, executing, and supporting automated verification, software deployment, and release management. This techno-functional position blends the domains of ESG (Environmental, Social, and Governance) risk with advanced data technology and analysis, requiring proficiency in SQL and R/Python, among other tools. Responsibilities: Test Framework Development: Develop prototypes of models, data processes, and business logic for corporate governance and ESG responsible investing products. Design and implement frameworks using Python/R and SQL to verify the accuracy and efficiency of analytical solutions. If applicable, create UIs using Streamlit or other such tools for test framework and containerize those apps on Windows or Linux VMs using Docker or equivalent tools. Data Profiling & Visualization: Conduct data profiling and quality analysis to identify trends and issues. Utilize visualization tools like Power BI for defect analysis and insights. API Testing & Validation: Perform API sanity checks and validations using tools like Postman. Work with various API endpoints (XML, JSON, GraphQL) to ensure seamless data flow and integration. Project Support & Collaboration: Review product release artifacts, assist with deployments, and collaborate with Application Management teams. Assess data-oriented product testing scope, define timelines, and develop execution roadmaps. Automation & Advanced Analytics: Explore low-code libraries (e.g., Great Expectations, Sweetviz, Pandera) for automated data profiling. Leverage no-code tools like KNIME for effective data analytics. Familiarized with LLMs and machine learning techniques for data-driven automation initiatives wherever applicable (not mandatory but a plus) Qualifications: Educational Background : Bachelors or Masters degree in Engineering, Information Science, or a related field, with strong hands-on experience in data manipulation, analysis, and programming using Python or R. Experience : 7–9 years of experience in a data-driven role, with proven expertise in analytical programming, data wrangling, and data analysis. Financial Knowledge : An MBA (Finance), CFA Level 1/2, or CIPM certification is a significant plus. Knowledge in Corporate Governance and ESG is desirable. Detail-Oriented & Communicative : Exceptional attention to detail and strong communication skills, with the ability to collaborate effectively with global teams, ensuring alignment on project goals and deliverables. Self-Starter : A proactive mindset with the ability to work independently, adapt quickly to new challenges, and thrive in a fast-paced and evolving environment. Analytical Acumen : The ability to transform data into actionable insights by identifying patterns, trends, relationships, and clusters within datasets. #MIDSENIOR #STOXX #LI-PS1

Hi, We are hiring for ITES Company for Validation Associate Role. Job description ***Minimum 3 years as Validation Associate is required.*** 1. Data validation test script creation: Create necessary validation scenarios needed to ensure checks are functioning as required and document scenarios in the Data Validation Specification(DVS). Document expected results for each testing scenario. Feedback to the clinical Data Scientist (CDS) any ambiguities in logic that require clarification for testing scenario creation. 2. Data validation test script execution: Entry of test data as specified in each testing scenario Compare the result obtained through entry of the test data to the expected result. Re-execute all checks that do not pass to ensure they are actual failure. Document validation failures. For validation failures due to incorrect testing scenarios, update DVS and re-execute testing scenario. Re-execute and document within the DVS validation results for checks that required programming updates. 3. Validation of the SI data set creation process: Enter data into all study visits and forms. Extract data from InForm into SI datasets Generate list of data within InForm Generate list of data contained within SI datasets Compare InForm listing to the SI dataset listing. Document unexpected inconsistencies between listing. Review time slicing specification against the SI data sets to ensure time slicing variables are being accurately populated. Document incorrect/unexpected time slicing variable assignments. Compare the pre-defined variable values as specified in the DVS against the SI data sets. Document inconsistencies To Apply, WhatsApp 'Hi' @ 9151555419 Follow the Steps Below: >Click on Start option to Apply and fill the details >Select the location as Other ( to get multiple location option ) a) To Apply for above Job Role ( Mumbai ) Type : Job Code # 171 b) To Apply for above Job Role ( Pune ) Type : Job Code # 172 c) To Apply for above Job Role ( Indore ) Type : Job Code # 174

Minimum of 3-5 years experience of working in a Quality Assurance (QA) role with experience testing Dataflows, ETL processes and Stored Procedures is required. |The candidate must possess the ability to read, understand, and execute Structured Query Language (SQL) to facilitate the development of data profiling and data validation scripts. Experience in testing various types of reports such as Power BI dashboards, Graphical, Tablix and Matrix reports and should be comfortable validating report functionality such as drill through, cascading parameters and rendering capabilities. A working understand of data models and their relationships will be needed in the role. Responsibilities: Create & execute test strategies, test plans, test cases. Perform Functional, End-to-End, Backend testing and report/track defects. Actively participate in team meetings to understand Business, Functional and Technical requirements, and adapt/align test efforts with rapidly changing requirements. Collaborate with delivery team members to improve development processes. Participate in technical design reviews to develop test strategy and to make sure that all user requirements are covered by the QA test. Work closely with development & business teams to perform root cause analysis, troubleshooting and resolution of defects. Documentation of Testcases, test plans, and regression testing. Qualifications 7 + years of overall QA experience. 3-5 Years of Software Quality Assurance experience on enterprise level Data Warehouse testing Must have excellent understanding of SDLC (Agile, Waterfall), STLC, defect life cycle and test management. Should have strong test process orientation and familiarity with Test Scenario Identification and Test Data Preparation Techniques. Must be experienced testing Business Intelligence Data Flows, Data warehouses and Data Marts. Strong Data Analysis skills and the ability to track a data element from source through transformation to target. Proficiency in ETL data validation, Source to target mapping using complex SQL queries. Must be able to write complex data validation SQL scripts. Extensive exposure to Backend/ETL testing with high-level of SQL skills is required to validate ETL and Business Intelligence processes. Should have exposure to large data sets and understand Data Quality Framework. Advanced knowledge of databases, data models, data mapping and data types. Understand data flow and test strategy for ETL, Data warehouse and Business Intelligence testing. Understand data sources and targets sufficiently to profile their data, develop thorough test plans, and validate and document the quality of the data. Data warehouse testing involving the testing of stored procedures, ETL Pipelines, packages, slowly changing dimension tables and Change Data capture etc. Experience in working with Star Schema, ODS, multi-dimensional models. Works collaboratively with business stakeholders, data architects, and analysts to improve overall data and process quality. Responsible for understanding the business definitions of data, where the data is collected, how it is published. Testing and validating data warehousing solutions consistent with the vision and direction of the department’s Data Framework and Plan. Working closely with the business intelligence unit and internal customers to validate reports and analytics capability using BI Dashboards, SSRS Reports Assist business intelligence teams and business data analysts to troubleshoot data quality issues in their respective areas of responsibility. Ability to review and analyze business requirements to produce and document test strategy and test cases. Experience in validating Power BI and SSRS reports. Ability to work in an agile environment with an iterative approach to development. Participate in relevant Agile Ceremonies: Daily Stand-Ups, Backlog Grooming, Sprint Planning, Sprint Reviews and Retrospectives. Working knowledge of JIRA, Azure, GIT, Azure DevOps a plus.

Company Name: Hexaware Technologies Experience: 6-12 Years Work Location: Pune/Bangalore/Chennai/Hyderabad/Coimbatore Interview Mode: Virtual Interview Date: 31st May (Saturday) Interview Rounds: 2-3 Rounds Notice Period: Immediate to 30 days Generic description: Roles and Responsibilities : Design, develop, and execute comprehensive ETL tests to ensure data integrity and quality in big data environments. Collaborate with cross-functional teams to identify and prioritize testing requirements for cloud-based applications on AWS or Microsoft Azure platforms. Develop automated test scripts using various tools such as Selenium WebDriver, Appium, etc. to improve testing efficiency and reduce manual efforts. Analyze test results, identify defects, and work closely with development teams to resolve issues. Job Requirements : 6-12 years of experience in ETL testing with expertise in big data testing. Strong understanding of cloud computing concepts including AWS or Microsoft Azure platforms. Proficiency in developing automated tests using programming languages like Python or Java.

Job Summary We are seeking an experienced Senior Data Testing Lead to manage and guide our Data Testing team. The ideal candidate will bring strong expertise in validating complex data pipelines across heterogeneous systems such as Oracle, PostgreSQL, S3, Apache Iceberg, Redshift, and Qlik. This role demands ownership of the testing lifecycle, from test planning to execution and team leadership. Key Responsibilities Lead the end-to-end data testing efforts across multiple data sources and destinations. Manage and mentor a team of junior data testers, ensuring high-quality deliverables and continuous skill development. Define and implement test strategies, plans, and test cases for: - Data movement from Oracle/PostgreSQL to AWS S3 - Data transformation and ingestion from S3 to Iceberg to Redshift - Data reporting flow from Redshift to Qlik Perform data validations and quality checks, ensuring data accuracy, completeness, and integrity. Collaborate with data engineers, architects, and product owners to understand requirements and provide testing inputs. Maintain detailed test documentation and participate in code/data reviews. Set up and maintain test automation frameworks and reusable test scripts for data validation (optional but preferred). Identify and mitigate data quality risks proactively. Required Skills and Experience 812 years of overall experience with at least 3+ years in leading data testing teams. Strong SQL skills for data profiling, validation, and test scripting. Solid understanding of ETL/ELT testing methodologies. Experience with AWS S3, Apache Iceberg, Redshift, and Qlik is highly preferred. Proven experience in testing data flows from RDBMS (Oracle, PostgreSQL) to cloud data lakes/warehouses. Ability to work independently and manage multiple priorities in a fast-paced environment. Excellent leadership, communication, and stakeholder management skills. Good to Have Familiarity with data test automation tools like DBT, Great Expectations, or custom Python frameworks. Exposure to domain knowledge (e.g., Insurance, Finance, or Healthcare) is a plus. Experience working in Agile/Scrum teams. We are looking for candidates who can join in a months time only.

Job Title:Data Testers Experience5-8 Years Location:CHN/BGL/HYD/Pune, Remote : Expectations Provenexperienceworkingonlargeprojectsinthefinancialservicesorinvestmentmanagementdomain,preferablywithAladdinorsimilarportfoliomanagementsystems. Deepunderstandingofinvestmentmanagementworkflows,includingportfoliomanagement,trading,compliance,andriskmanagement. ExperienceintestingdatavalidationscenariosandDataingestion,pipelines,andtransformationprocesses(e.g.,ETL) ExperienceworkingonSnowflake ProficiencywithAPITestingusingCodecept/Postman&SOAPUI Experienceindatabaseskills(SQLQueries)fordatamigrationtestingandtestdatacreation. Strong knowledge in python packages. ExperienceworkinginAgileEnvironmentandimplementingCI/CDpipelineusingBamboo/GITLabs. ProficiencyonVersionControlSystemslikeBitbucket/SVNisrequired. WorkingandbuildingDataComparison(XML,JSON,Excel,Database)utilitieswouldbeadvantageous. ExposuretoAWS/Azureenvironment(s) Desirable Skills: Deepunderstandingofinvestmentmanagementworkflows,includingportfoliomanagement,trading,compliance,andriskmanagement. Knowledgeofautomationtoolsfordeploymentandconfigurationmanagement. ExperienceworkingoniCEDQ. CertificationssuchasAWS,ISTQB,PMP,orScrumMasterareadvantageous.

Job Summary We are looking for a Data Quality Engineer who will safeguard the integrity of our cloud-native data assets. You will design and execute automated and manual data-quality checks across structured and semi-structured sources on Azure and GCP, validating that our data pipelines deliver accurate, complete, and consistent datasets for analytics, reporting, and AI initiatives. Key Responsibilities Define, build, and maintain data-quality frameworks that measure accuracy, completeness, timeliness, consistency, and validity of data ingested through ETL/ELT pipelines. Develop automated tests using SQL, Python, or similar tools; supplement with targeted manual validation where required. Collaborate with data engineers to embed data-quality gates into CI/CD pipelines on Azure Data Factory / Synapse / Fabric and GCP Dataflow / Cloud Composer. Profile new data sources (structured and semi-structuredJSON, Parquet, Avro) to establish baselines, detect anomalies, and recommend cleansing or transformation rules. Monitor data-quality KPIs and publish dashboards/alerts that surface issues to stakeholders in near-real time. Conduct root-cause analysis for data-quality defects, propose remediation strategies, and track resolution to closure. Maintain comprehensive documentation of test cases, data-quality rules, lineage, and issue logs for audit and governance purposes. Partner with data governance, security, and compliance teams to ensure adherence to regulatory requirements Must-Have Skills 4-6 years of experience in data quality, data testing, or data engineering roles within cloud environments. Hands-on expertise with at least one major cloud data stackAzure (Data Factory, Synapse, Databricks/Fabric) or GCP (BigQuery, Dataflow, Cloud Composer). Strong SQL skills and proficiency in a scripting language such as Python for building automated validation routines. Solid understanding of data-modeling concepts (dimensional, 3NF, data vault) and how they impact data-quality rules. Experience testing semi-structured data formats (JSON, XML, Avro, Parquet) and streaming/near-real-time pipelines. Excellent analytical and communication skills; able to translate complex data issues into clear, actionable insights for technical and business stakeholders. Nice-to-Have Skills Familiarity with BI/reporting tools (Power BI, Looker, Tableau) for surfacing data-quality metrics. Preferred Certifications Google Professional Data Engineer or Associate Cloud Engineer (GCP track) - OR - Microsoft Certified: Azure Data Engineer Associate Education Bachelors or Masters degree in Computer Science, Information Systems, Engineering, Mathematics, or a related field. Comparable professional experience will also be considered. Why Join Us? You will be the guardian of our datas trustworthiness, enabling decision-makers to rely on insights with confidence. If you are passionate about building automated, scalable data-quality solutions in a modern cloud environment, we’d love to meet you.

2-5 Yrs in Exp Big Data testing, focusing on both automated and manual testing. Strong understanding of Hadoop. Proficient in SQL, Unix, Linux with hands-on experience. also Exp in ETL .

Role & responsibilities Preferred candidate profile

Overview Annalect is seeking a hands-on Data QA Manager to lead and elevate data quality assurance practices across our growing suite of software and data products. This is a technical leadership role embedded within our Technology teams, focused on establishing best-in-class data quality processes that enable trusted, scalable, and high-performance data solutions. As a Data QA Manager, you will drive the design, implementation, and continuous improvement of end-to-end data quality frameworks, with a strong focus on automation, validation, and governance. You will work closely with data engineering, product, and analytics teams to ensure data integrity, accuracy, and compliance across complex data pipelines, platforms, and architectures, including Data Mesh and modern cloud-based ecosystems. This role requires deep technical expertise in SQL, Python, data testing frameworks like Great Expectations, data orchestration tools (Airbyte, DbT, Trino, Starburst), and cloud platforms (AWS, Azure, GCP). You will lead a team of Data QA Engineers while remaining actively involved in solution design, tool selection, and hands-on QA execution. Responsibilities Key Responsibilities: Develop and implement a comprehensive data quality strategy aligned with organizational goals and product development initiatives. Define and enforce data quality standards, frameworks, and best practices, including data validation, profiling, cleansing, and monitoring processes. Establish data quality checks and automated controls to ensure the accuracy, completeness, consistency, and timeliness of data across systems. Collaborate with Data Engineering, Product, and other teams to design and implement scalable data quality solutions integrated within data pipelines and platforms. Define and track key performance indicators (KPIs) to measure data quality and effectiveness of QA processes, enabling actionable insights for continuous improvement. Generate and communicate regular reports on data quality metrics, issues, and trends to stakeholders, highlighting opportunities for improvement and mitigation plans. Maintain comprehensive documentation of data quality processes, procedures, standards, issues, resolutions, and improvements to support organizational knowledge-sharing. Provide training and guidance to cross-functional teams on data quality best practices, fostering a strong data quality mindset across the organization. Lead, mentor, and develop a team of Data QA Analysts/Engineers, promoting a high-performance, collaborative, and innovative culture. Provide thought leadership and subject matter expertise on data quality, influencing technical and business stakeholders toward quality-focused solutions. Continuously evaluate and adopt emerging tools, technologies, and methodologies to advance data quality assurance capabilities and automation. Stay current with industry trends, innovations, and evolving best practices in data quality, data engineering, and analytics to ensure cutting-edge solutions. Qualifications Required Skills 11+ years of hands-on experience in Data Quality Assurance, Data Test Automation, Data Comparison, and Validation across large-scale datasets and platforms. Strong proficiency in SQL for complex data querying, data validation, and data quality investigations across relational and distributed databases. Deep knowledge of data structures, relational and non-relational databases, stored procedures, packages, functions, and advanced data manipulation techniques. Practical experience with leading data quality tools such as Great Expectations, DbT tests, and data profiling and monitoring solutions. Experience with data mesh and distributed data architecture principles for enabling decentralized data quality frameworks. Hands-on experience with modern query engines and data platforms, including Trino/Presto, Starburst, and Snowflake. Experience working with data integration and ETL/ELT tools such as Airbyte, AWS Glue, and DbT for managing and validating data pipelines. Strong working knowledge of Python and related data libraries (e.g., Pandas, NumPy, SQLAlchemy) for building data quality tests and automation scripts.

About The Role Software Quality Assurance experience on enterprise level applications which includes Data Warehouse/ETL Testing. Experience in writing complex SQL queries, ability to determine the types of testing that must be conducted (i.e., data validation, regression, etc.), including evaluating the testability of requirements and create a comprehensive test plan that supports the business and technological solutions being delivered. Should have experience testing multiple test phases 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. Thorough knowledge of Software Test Life Cycle, Test Case Life Cycle, Defect Life Cycle etc. Proficiency with Test Case Preparation and Execution. Extensive exposure to Back-end/ETL/Datawarehouse Testing with high-level of SQL skills is required. Experience in data analysis, including profiling, auditing, balancing, and reconciliation, in an information technology operating environment. Defect tracking experience (i.e. Jira, Bugzilla, etc) Primary Skills ETL Testing Data Testing

Requirements: Must have worked in a QA role for ETL/data transformation Minimum 3+ years of QA experience Strong SQL skills Proficiency in using BigQuery functions and operators for data comparison, aggregation, and validation across different stages of the transformation Should have analytical skills to understand complex requirements to do in depth data validation Should be able to work independently to create artifacts such as test strategy, test plan etc. Good understanding of data mapping and data requirements Inclined to do rigorous and repeatable testing with enthusiasm to find bugs Willing to do manual SQL QA work with complex queries Intuitive and able to work independently Strong communication skills are a must have Experience and desire to work in a Global delivery environment Location : Hyderabad Shift : 1.00 PM to 10.00 PM Notice Period : Immediate to 15 Days

We are planning for Automation Testing drive for With Grade: B2, C1 and C2 (4-10 Yrs) Please share your updated resumes on all 3 Positions i.e API automation PT(Performance Testing) Data / ETL testing

Core Responsibilities Provide Data Testing & Validation against an assigned workstream within the OSB Group, through activities including but not limited to: Designing and executing tests to validate the accuracy, completeness, and integrity of data across various systems and databases. Developing tailored test plans, cases, and scripts for data validation. Delivering Data Quality Assurance by implementing processes and methodologies to ensure adherence to data standards and best practices. Conducting data mapping and integration testing to ensure seamless data flow between systems. Validating data transformations, mappings, and business rules with data engineers and developers. Identifying, documenting and managing data-related defects using a defect tracking system. Collaborating with stakeholders and technical teams to resolve data issues. Conducting root cause analysis and recommending solutions for long-term data integrity. Documenting test plans, results, reports. Presenting data test findings, metrics[DEL: . :DEL] Working with cross-functional teams to understand data requirements and validate data accuracy. Communicating test progress, risks, and issues to senior team members Developing engagement skills through project work. Adhering to data governance policies and industry standards to ensure data security and privacy. Maintaining the company’s compliance standards and ensure timely completion of all mandatory on-line training modules and attestations. Ensuring that you fully understand and comply with the organisation’s Risk Management Policies as they relate to your area of responsibility and demonstrate in your day-to-day work that you put customers at the heart of everything you do; Ensuring that you fully understand and comply with the organisation’s Data Governance Policies as they relate to your area of responsibility and demonstrate in your day-to-day work that you treat data as an important corporate asset which must be protected and managed; Experience Requirements Proven experience as a Data Test Analyst/ Data Quality Analyst or in a related role, with a minimum 3 years (or equivalent) experience of data testing concepts and methodologies is essential. Proficiency in designing and executing data tests, profiling, quality assessment, and validation is essential. Strong analytical and reporting skills to identify and analyse data issues is essential. Proficiency in SQL query writing and data manipulation from relational databases is essential. Familiarity with data governance principles and regulatory requirements (e.g., GDPR, CCPA) is desirable. Understanding of data integration, ETL processes, and transformation validation is essential. Experience in managing and tracking data-related defects is desirable. Experience of Mortgage and Savings, products and domain services are desirable. Experience in Datawarehouse concepts is essential. Experience in Microsoft SQL Server Database language is essential. Experience in Test Management tools like JIRA, Zephyr, ADO is desirable. Knowledge Requirements In-depth knowledge of the software development lifecycle and defect resolution process is essential. Comprehensive understanding of testing methodologies and frameworks is essential. Experience in system integration, regression testing, and user acceptance testing is essential. Knowledge of manual and automated testing processes is essential. Experience with Azure Data Fundamentals is desirable. Familiarity with financial services, banking services domains is desirable. Detailed knowledge of Microsoft Word, PowerPoint, Excel is essential. Excellent analytical, mathematical and creative problem-solving skills is essential. Knowledge of savings and mortgage products is desirable. Knowledge on Stored Procedure, Views, Indexes, Triggers is essential. Knowledge on Data pipelines is desirable. Knowledge on Knowledge on ETL tools like SSIS is desirable. experience with Azure or any cloud technology is desirable Skill and Competency Requirements Proficiency with SQL tools, including Microsoft SQL Management Studio is essential. Intermediate skills in testing tools are essential. Attention to detail and ability to learn and adapt quickly is essential. Intermediate level skills in respect of verbal & written communication are essential. Intermediate level skills in respect of the ability to self-manage are essential. Ability to work within diverse, highly technical development teams Required Qualifications/Certifications Degree (or equivalent) qualifications are desirable. Bachelor’s degree in computer science, Data Science, Information Systems, or a related field is desirable. Relevant certifications in software testing (e.g., ISTQB) is desirable. Microsoft Azure Data Fundamental (DP 900) is desirable. Core Responsibilities Provide Data Testing & Validation against an assigned workstream within the OSB Group, through activities including but not limited to: Designing and executing tests to validate the accuracy, completeness, and integrity of data across various systems and databases. Developing tailored test plans, cases, and scripts for data validation. Delivering Data Quality Assurance by implementing processes and methodologies to ensure adherence to data standards and best practices. Conducting data mapping and integration testing to ensure seamless data flow between systems. Validating data transformations, mappings, and business rules with data engineers and developers. Identifying, documenting and managing data-related defects using a defect tracking system. Collaborating with stakeholders and technical teams to resolve data issues. Conducting root cause analysis and recommending solutions for long-term data integrity. Documenting t

ABOUT IRIS SOFTWARE IRIS Software Inc is a CMMI ML 5 professional software services organization offering high-quality, cost-effective solutions to businesses. It has helped meeting the IT requirements of companies ranging from those among the Fortune 100 to medium-sized firms by utilizing best-of-breed technologies, rapidly deployable solutions and flexible engagement models. With offices in India, USA , Mexico and Canada, we employ 3000+ highly talented professionals and domain experts. We are strategic partners to over 25 Fortune 100 companies and our consistent striving for high customer satisfaction has translated into long-standing relationships and a preferred-partner status with many of our partners. Over 93% of the customers we have worked with have chosen to re-engage with us. IRIS is a quality and security conscious organization and has maintained steady progress in its quality management and information security management programs over the years. Namely Software Process Maturity: Certified to ISO 9001:2008 since 2002 | CMMI ML 5 | ISO 27001:2013 Visit us at www.irissoftware.com We are hiring ETL tester for Noida/Gurugram/Pune location. Sr. Engineer - ETL Tester 5-8 experience in ETL and data testing Strong data analysis and understanding of data mapping Complex SQL scripting Project Shift time - 1:00 pm to 10:00 pm Interested candidates please share there resume on anu.c@irissoftware.com