164 Data Testing Jobs

Data Testing Strategy & Execution: Design, develop, and execute comprehensive test plans and test cases for data-centric applications, ETL processes, data warehouses, data lakes, and reporting solutions. SQL-Driven Validation: Utilize advanced SQL queries to perform complex data validation, data reconciliation, data integrity checks, and data quality assurance across various financial data sources. ETL Testing: Conduct thorough testing of ETL (Extract, Transform, Load) processes, ensuring data is accurately extracted, transformed according to business rules, and loaded correctly into target systems. Data Quality Assurance: Implement and monitor data quality checks, identify data discrepancies, anomalies, and inconsistencies, and work with development and business teams to resolve issues. Performance Testing (Data Focus): Contribute to performance testing efforts for data pipelines and database operations, ensuring optimal query and data load performance. Test Data Management: Create and manage robust test data sets for various testing phases, including positive, negative, and edge case scenarios. Defect Management: Identify, document, track, and re-test defects in data, collaborating closely with development and data engineering teams for timely resolution. Documentation & Reporting: Maintain clear and concise documentation of test plans, test cases, test results, and data quality reports. Provide regular status updates to stakeholders. Collaboration: Work effectively with business analysts, data architects, data engineers, and project managers to understand data flows, business requirements, and ensure data quality standards are met. Process Improvement: Proactively identify opportunities for process improvements in data testing methodologies and tools. Global Team Collaboration: Provide consistent overlap with EST working hours (until noon EST) to facilitate effective communication and collaboration with US-based teams. Required Skills & Experience: Experience: 8-11 years of hands-on experience in Data Quality Assurance, Data Testing, or ETL Testing roles. SQL Expertise: o Advanced proficiency in SQL: Ability to write complex queries, subqueries, analytical functions (Window functions), CTEs, and stored procedures for data validation, reconciliation, and analysis. o Experience with various SQL databases (e.g., SQL Server, Oracle, PostgreSQL, MySQL, Snowflake, BigQuery). o Strong understanding of database concepts: normalization, indexing, primary/foreign keys, and data types. Data Testing Methodologies: Solid understanding of data warehousing concepts, ETL processes, and various data testing strategies (e.g., source-to-target mapping validation, data transformation testing, data load testing, data completeness, data accuracy). Domain Expertise: o Strong understanding and proven experience in Risk and Finance IT domain: Familiarity with financial data (e.g., trading data, market data, risk metrics, accounting data, regulatory reporting). o Knowledge of financial products, regulations, and risk management concepts. Analytical & Problem-Solving Skills: Excellent ability to analyze complex data sets, identify root causes of data issues, and propose effective solutions. Communication: Strong verbal and written communication skills to articulate data issues and collaborate with diverse teams. Time Zone Overlap: Proven ability and willingness to provide consistent working hour overlap until noon EST to collaborate with teams in the Eastern Standard Time zone. Mandatory Competencies ETL - ETL - Tester Database - Database Programming - SQL Database - PostgreSQL - PostgreSQL Beh - Communication Database - Oracle - Database Design FS Domain - Market Risk - Risk Factor Sensitivity Analysis FS Domain - Financial Services - Financial Services

Key Responsibilities: Data Testing Strategy & Execution: Design, develop, and execute comprehensive test plans and test cases for data-centric applications, ETL processes, data warehouses, data lakes, and reporting solutions. SQL-Driven Validation: Utilize advanced SQL queries to perform complex data validation, data reconciliation, data integrity checks, and data quality assurance across various financial data sources. ETL Testing: Conduct thorough testing of ETL (Extract, Transform, Load) processes, ensuring data is accurately extracted, transformed according to business rules, and loaded correctly into target systems. Data Quality Assurance: Implement and monitor data quality checks, identify data discrepancies, anomalies, and inconsistencies, and work with development and business teams to resolve issues. Performance Testing (Data Focus): Contribute to performance testing efforts for data pipelines and database operations, ensuring optimal query and data load performance. Test Data Management: Create and manage robust test data sets for various testing phases, including positive, negative, and edge case scenarios. Defect Management: Identify, document, track, and re-test defects in data, collaborating closely with development and data engineering teams for timely resolution. Documentation & Reporting: Maintain clear and concise documentation of test plans, test cases, test results, and data quality reports. Provide regular status updates to stakeholders. Collaboration: Work effectively with business analysts, data architects, data engineers, and project managers to understand data flows, business requirements, and ensure data quality standards are met. Process Improvement: Proactively identify opportunities for process improvements in data testing methodologies and tools. Global Team Collaboration: Provide consistent overlap with EST working hours (until noon EST) to facilitate effective communication and collaboration with US-based teams. Required Skills & Experience: Experience: 8-10 years of hands-on experience in Data Quality Assurance, Data Testing, or ETL Testing roles. SQL Expertise:o Advanced proficiency in SQL: Ability to write complex queries, subqueries, analytical functions (Window functions), CTEs, and stored procedures for data validation, reconciliation, and analysis.o Experience with various SQL databases (e.g., SQL Server, Oracle, PostgreSQL, MySQL, Snowflake, BigQuery).o Strong understanding of database concepts: normalization, indexing, primary/foreign keys, and data types. Data Testing Methodologies: Solid understanding of data warehousing concepts, ETL processes, and various data testing strategies (e.g., source-to-target mapping validation, data transformation testing, data load testing, data completeness, data accuracy). Domain Expertise:o Strong understanding and proven experience in Risk and Finance IT domain: Familiarity with financial data (e.g., trading data, market data, risk metrics, accounting data, regulatory reporting).o Knowledge of financial products, regulations, and risk management concepts. Analytical & Problem-Solving Skills: Excellent ability to analyze complex data sets, identify root causes of data issues, and propose effective solutions. Communication: Strong verbal and written communication skills to articulate data issues and collaborate with diverse teams. Mandatory Competencies ETL - ETL - Tester QA/QE - QA Automation - ETL Testing Database - PostgreSQL - PostgreSQL Beh - Communication Database - Sql Server - SQL Packages

Key Responsibilities: Data Testing Strategy & Execution: Design, develop, and execute comprehensive test plans and test cases for data-centric applications, ETL processes, data warehouses, data lakes, and reporting solutions. SQL-Driven Validation: Utilize advanced SQL queries to perform complex data validation, data reconciliation, data integrity checks, and data quality assurance across various financial data sources. ETL Testing: Conduct thorough testing of ETL (Extract, Transform, Load) processes, ensuring data is accurately extracted, transformed according to business rules, and loaded correctly into target systems. Data Quality Assurance: Implement and monitor data quality checks, identify data discrepancies, anomalies, and inconsistencies, and work with development and business teams to resolve issues. Performance Testing (Data Focus): Contribute to performance testing efforts for data pipelines and database operations, ensuring optimal query and data load performance. Test Data Management: Create and manage robust test data sets for various testing phases, including positive, negative, and edge case scenarios. Defect Management: Identify, document, track, and re-test defects in data, collaborating closely with development and data engineering teams for timely resolution. Documentation & Reporting: Maintain clear and concise documentation of test plans, test cases, test results, and data quality reports. Provide regular status updates to stakeholders. Collaboration: Work effectively with business analysts, data architects, data engineers, and project managers to understand data flows, business requirements, and ensure data quality standards are met. Process Improvement: Proactively identify opportunities for process improvements in data testing methodologies and tools. Global Team Collaboration: Provide consistent overlap with EST working hours (until noon EST) to facilitate effective communication and collaboration with US-based teams. Required Skills & Experience: Experience: 5-8 years of hands-on experience in Data Quality Assurance, Data Testing, or ETL Testing roles. SQL Expertise:o Advanced proficiency in SQL: Ability to write complex queries, subqueries, analytical functions (Window functions), CTEs, and stored procedures for data validation, reconciliation, and analysis.o Experience with various SQL databases (e.g., SQL Server, Oracle, PostgreSQL, MySQL, Snowflake, BigQuery).o Strong understanding of database concepts: normalization, indexing, primary/foreign keys, and data types. Data Testing Methodologies: Solid understanding of data warehousing concepts, ETL processes, and various data testing strategies (e.g., source-to-target mapping validation, data transformation testing, data load testing, data completeness, data accuracy). Domain Expertise:o Strong understanding and proven experience in Risk and Finance IT domain: Familiarity with financial data (e.g., trading data, market data, risk metrics, accounting data, regulatory reporting).o Knowledge of financial products, regulations, and risk management concepts. Analytical & Problem-Solving Skills: Excellent ability to analyze complex data sets, identify root causes of data issues, and propose effective solutions. Communication: Strong verbal and written communication skills to articulate data issues and collaborate with diverse teams. Mandatory Competencies ETL - ETL - Tester Beh - Communication and collaboration Database - SQL QA/QE - QA Automation - ETL Testing Database - PostgreSQL - PostgreSQL.

Responsibilities * Design, develop, and execute comprehensive test plans for ETL processes to ensure data integrity and accuracy. * Collaborate with cross-functional teams to identify and resolve data discrepancies, errors, and issues. * Develop and maintain detailed test cases, scripts, and reports to track progress against project milestones. * Participate in daily stand-ups, sprint planning meetings, and retrospectives to ensure effective communication with stakeholders. Job Requirements * 3-8 years of experience in ETL testing or a related field (data testing). * Strong understanding of SQL concepts and ability to write complex queries for data analysis. * Experience with Agile methodologies (Scrum) is required; knowledge of JIRA is an asset.

QA Engineer is responsible to certify the quality of the software products used across the organization. They are typically web applications that require manual and automation testing for functionality and performance. This is done through formulating effective test case, test plan; maintaining them and executing them. Good interpersonal skills are required for effective communication with the Business and Development teams. Technical Skills SQL (must),Python (must) ETL Testing (Manual + Automation Automation framework design and development PySpark / Spark (optional) Ability to develop test automation frameworks. Ability to work as an individual contributor. Strong attention to detail. Familiarity with Git or other version control systems. Understanding of Agile development methodologies. Willingness to switch to manual testing whenever required. Excellent analytical skills and problem-solving skills. Detailed knowledge of application functions, bug fixing Minimum Experience: 6+ Years and above Neudesic is an Equal Opportunity Employer Neudesic provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by local laws. Neudesic is an IBM subsidiary which has been acquired by IBM and will be integrated into the IBM organization. Neudesic will be the hiring entity. By proceeding with this application, you understand that Neudesic will share your personal information with other IBM companies involved in your recruitment process, wherever these are located. More Information on how IBM protects your personal information, including the safeguards in case of cross-border data transfer, are available here: https://www.ibm.com/us-en/privacy?lnk=flg-priv-usen

Location: Gurgaon Experience Required: 0 to 8 Years (Freshers with strong analytical skills can also apply) Salary: As per industry standards Key Responsibilities: • Ensure accuracy, completeness, and consistency of data across systems.

The role of the Head of QA is crucial in ensuring the overall quality of applications, data, and development processes within the organization. You will be responsible for managing and refining software QA practices, defining key quality metrics, and collaborating with cross-functional teams to uphold the highest standards for system data and application features. As the Head of QA, you will oversee a team of QA Engineers, guiding them in building test cases and automating QA workflows. Reporting directly to the SVP, Software Engineering, you will work closely with the VP of Data and Analytics to align quality assurance efforts with organizational goals. To excel in this role, you should possess an undergraduate or first-level degree, along with at least 10 years of QA experience. Your expertise should include a strong background in application, data, and API testing, as well as a deep understanding of QA manual and automation processes. Familiarity with QA methodologies and automated testing tools such as Agile/Scrum/SAFe, Playwright, Cucumber, TestRails, and Selenium is essential. Proficiency in web-based technology architecture, data structures, and SQL is also required. Your responsibilities as the Head of QA will encompass strategic leadership, where you will define and execute a QA strategy that aligns with business and engineering objectives. You will establish quality standards, KPIs, and metrics to enhance product quality, while also developing and maintaining robust QA processes. It will be your role to champion Agile, DevOps, and CI/CD practices and integrate QA seamlessly into the development lifecycle. Additionally, you will drive the adoption of test automation frameworks and tools to enhance efficiency and coverage. Collaboration will be key, as you partner with Product Management, Engineering, and Operations to embed quality throughout the software development life cycle. You will serve as the advocate for quality in executive discussions and product planning, identifying and mitigating quality risks early on. Furthermore, you will lead root cause analysis and implement corrective actions for critical defects and failures to ensure continuous improvement in development processes. Overall, as the Head of QA, you will play a pivotal role in upholding and enhancing the quality of applications, data, and development processes within the organization. Your leadership and expertise will drive the implementation of best practices, automation tools, and quality standards to deliver high-quality software solutions effectively.,

Job Description Data QA Engineer (2–3 Years, Python + SQL + Cloud) Position Overview We are seeking a Data QA Engineer with 2–3 years of experience in Python, SQL, and cloud-based ETL/data testing. The role focuses on validating data pipelines, ensuring data quality, and building Python scripts for automation. Basic knowledge of ML and GenAI models is a plus. Key Responsibilities Validate ETL processes in AWS, Azure, GCP, or Snowflake. Perform checks on schema, row counts, duplicates, nulls, and aggregates. Reconcile source and target datasets. Write SQL queries (joins, subqueries, CTEs, window functions) for testing. Perform performance checks and data consistency validation. Write validation scripts using pandas, numpy, sqlalchemy. Automate test cases with pytest or unittest. Validate data from cloud storage (S3, Blob, GCS) using Python SDKs. Apply data quality checks with frameworks like Great Expectations. Assist in validating ML workflows (data preparation, input/output checks). Work with Python libraries (scikit-learn, tensorflow) for basic model testing. Explore GenAI APIs (OpenAI, HuggingFace) for test data generation. Required Skills 2–3 years of experience in data QA/testing. Strong knowledge of Python (pandas, numpy, pytest, sqlalchemy). Proficiency in SQL (joins, aggregates, window functions). Hands-on with at least one cloud platform (AWS, Azure, GCP, Snowflake, Databricks). Understanding of data quality checks (row counts, duplicates, transformations). Good to Have Experience with ML/GenAI concepts and Python libraries. Familiarity with CI/CD tools (Jenkins, GitHub Actions, Azure DevOps). Knowledge of workflow tools like Airflow or Prefect. Basic API testing using Python (requests). Qualifications Bachelor’s in Computer Science, IT, or related field. 2–3 years of experience in ETL/Data QA with Python + SQL. Exposure to cloud platforms and data pipelines.

Job Title: Tech Quality & Test Engineer EUPS Testing & Support Location: Hyderabad Employment Type: Full-Time Experience Required: 5+ Years Job Summary: Are you detail-oriented and passionate about quality engineering? Were looking for a Tech Quality & Test Engineer to join our team and support EUPS (Enterprise User Provisioning System) testing and documentation. This role involves running complex tests on PostgreSQL databases and front-end clients, generating bespoke reports, and providing technical support to stakeholders and users. Key Responsibilities: Execute complex test cases on EUPS PostgreSQL databases and front-end applications. Document solutions at both engineering and user levels for clarity and traceability. Provide technical support for EUPS back-end and front-end systems to stakeholders and users. Generate custom reports based on business and operational needs. Ensure high standards of quality, accuracy, and performance in all testing activities. Required Qualifications: Minimum 5 years of experience writing complex SQL queries , preferably in PostgreSQL . Strong understanding of relational database concepts and data integrity. Excellent attention to detail and commitment to quality assurance . Good communication skills with the ability to document clearly and support users effectively . Confident in speaking up and contributing to process improvements and issue resolution. Preferred Skills: Experience in enterprise systems testing and technical documentation . Familiarity with test automation tools and reporting frameworks . Exposure to Agile methodologies and collaborative development environments. Skills Required: SQL (PostgreSQL), Database Testing Technical Documentation, Report Generation Front-End and Back-End Testing Stakeholder Support, Communication Detail Orientation, Quality Focus Apply now by sharing your updated resumes at aditi-agarwal@hcltech.com or DM us directly. Best Regards, Aditi Agarwal Talent Acquisition Team HCL Tech

We are looking for an individual with a proven track record of success in testing automation within large, complex, client-facing transformation programs. As a key member of our team, you will collaborate with the Test Automation lead to oversee the central automation team. You will provide technical leadership while working closely with functional testers and delivery teams across front, middle, and back-office applications. Your expertise in automation strategy, along with a deep understanding of modern test tooling and frameworks (including robotics and GenAI use cases), will be vital for this role, as you navigate cloud-native and on-prem environments. The role is crucial to our organization as Alpha is the industry's first interoperable front-to-back platform that connects data, applications, and operations across various entities. Your contribution to robust, automated end-to-end testing will be essential in accelerating implementation timelines, enhancing reliability, and ensuring a consistent client experience. Your responsibilities will include managing the central automation practice in collaboration with the Global head of automation. You will also engage with the global testing team members who leverage automation in their respective fields. Additionally, you will design, implement, and maintain a modular, reusable test automation framework centered on UiPath Test Suite, encompassing RPA test automation, orchestrations, and GenAI-assisted test generation/analysis. You will lead the planning, design, and execution of all automation testing activities, define and promote standards and best practices for test automation, and oversee financial planning and resource management for the automation team. To excel in this role, you must possess excellent verbal, written, and presentation skills. An understanding of global portfolio management and financial servicing, including portfolio construction, trading, compliance, and risk across major asset classes, is essential. Your hands-on expertise with UiPath Test Suite, familiarity with RPA/GenAI use cases in testing, and experience in automating various types of tests across different systems will be advantageous. Strong communication and stakeholder engagement skills, along with experience in agile methodology and tools, are preferred. Additionally, knowledge of portfolio management theory, trading platforms, and key risk indicators will be beneficial. As an ideal candidate, you should hold a Bachelor's degree, with an MBA being preferred but not necessary. You should have at least 15 years of overall experience, including 8+ years in leading test automation/project teams and 10+ years in financial and/or technology transformation. Your ability to collaborate effectively with multiple stakeholders, execute programs and initiatives successfully, and work across different environments will be key to your success in this role. Join us at State Street, a leading custodian bank, asset manager, and asset intelligence company. We are committed to creating a positive work environment and offer competitive benefits packages tailored to your needs. Our development programs and educational support will empower you to achieve your full potential in your career growth and personal development. Discover more opportunities at StateStreet.com/careers.,

Withum is a place where talent thrives - where who you are matters. It's a place of endless opportunities for growth. A place where entrepreneurial energy plus inclusive teamwork equals exponential results. Withum empowers clients and our professional staff with innovative tools and solutions to address their accounting, tax and overall business management and operational needs. As a US nationally ranked Top 25 firm, we recruit only the best and brightest people with a genuine passion for the business. We are seeking an experienced Lead Consultant Data Engineering with a strong background in consulting services and hands-on skills in building modern, scalable data platforms and pipelines. This is a client-facing, delivery-focused role. Please note that this position is centered around external client delivery and is not part of an internal IT or product engineering team. This is a foundational hire. You will be responsible for delivering hands-on client work, support for our proprietary data products, and building the team underneath you. Withum's brand is a reflection of our people, our culture, and our strength. Withum has become synonymous with teamwork and client service excellence. The cornerstone of our success can truly be accredited to the dedicated professionals who work here every day, easy to work with a sense of purpose and caring for their co-workers and whose mission is to help our clients grow and thrive. But our commitment goes beyond our clients as we continue to live the Withum Way, promoting personal and professional growth for all team members, clients, and surrounding communities. How You'll Spend Your Time: - Architect, implement, and optimize data transformation pipelines, data lakes, and cloud-native warehouses for mid- and upper mid-market clients. - Deliver hands-on engineering work across client environments - building fast, scalable, and well-documented pipelines that support both analytics and AI use cases. - Lead technical design and execution using tools such as Tableau, Microsoft Fabric, Synapse, Power BI, Snowflake, and Databricks. - Also have a good hands-on familiarity with SQL Databases. - Optimize for sub-50GB datasets and local or lightweight cloud execution where appropriate - minimizing unnecessary reliance on cluster-based compute. - Collaborate with subject-matter experts to understand business use cases prior to designing data model. - Operate as a client-facing consultant: conduct discovery, define solutions, and lead agile project delivery. - Switch context rapidly across 23 active clients or service streams in a single day. - Provide support for our proprietary data products as needed. - Provide advisory and strategic input to clients on data modernization, AI enablement, and FP&A transformation efforts. - Deliver workshops, demos, and consultative training to business and technical stakeholders. - Ability to implement coding modifications to pre-existing code/procedures in a manner that results in a validated case study. - Take full ownership of hiring, onboarding, and mentoring future data engineers and analysts within the India practice. - During bench time, contribute to building internal data products and tooling - powering our own consulting operations (e.g., utilization dashboards, delivery intelligence, practice forecasting). - Help define and scale delivery methodology, best practices, and reusable internal accelerators for future engagements. - Ability to communicate openly about conflicting deadlines to ensure prioritization aligns with client expectations, with ample time to reset client expectations as needed. - Ensure coding is properly commented to help explain logic or purpose behind more complex sections of code. Requirements: - 6+ years of hands-on experience in data engineering roles, at least 3+ years in a consulting or client delivery environment. - Proven ability to context-switch, self-prioritize, and communicate clearly under pressure. - Demonstrated experience owning full lifecycle delivery, from architecture through implementation and client handoff. - Strong experience designing and implementing ETL / ELT pipelines, preferably in SQL-first tools. - Experience with Microsoft SQL Server / SSIS for maintenance and development of ETL processes. - Real-world experience with SQL Databases, Databricks, Snowflake, and/or Synapse - and a healthy skepticism of when to use them. - Deep understanding of data warehousing, data lakes, data modeling, and incremental processing. - Proficient in Python for ETL scripting, automation, and integration work. - Experience with tools such as dbt core in production environments. - Strong practices around data testing, version control, documentation, and team-based dev workflows. - Working knowledge of Power BI, Tableau, Looker, or similar BI tools. - Experience building platforms for AI/ML workflows or supporting agentic architectures. - Familiarity with Microsoft Fabric's Lakehouse implementation, Delta Lake, Iceberg, and Parquet. - Background in DataOps, CI/CD for data pipelines, and metadata management. - Microsoft certifications (e.g., Azure Data Engineer, Fabric Analytics Engineer) are a plus Website: www.withum.com,

Analyze business and data requirements within the Life Sciences domain , including clinical, regulatory, and commercial data use cases. Design and execute comprehensive ETL test plans and test cases for data pipelines involving AWS S3, Redshift, Snowflake, and Databricks . Validate complex data transformations, aggregations, and data quality rules across data layers. Perform data reconciliation between source systems (clinical data feeds, trial management systems, CSVs on S3, etc.) and downstream targets. Write and run advanced SQL queries for large-scale data validation in Redshift and Snowflake. Validate Power BI and Tableau dashboards for data accuracy, visualization consistency, and business rule implementation. Collaborate with data engineers, clinical data managers, and business analysts to ensure alignment of testing with domain expectations.

Role: QA Engineer Exp. 10+ years Location: Bangalore & Chennai Job type: 1 year contract. Skills Required: Preferred: Relevant 5+ years of experience in health Care Claims, Facets experience (Mandatory) Facets experience, claims processed through facets , Data Testing, Skill Search - Claims , Facets , EDI837 , EDI 835 , Quality Assurance / Quality Analyst / Quality Tester . Interested candidates, kindly share your resume on "vipul@vishusa.com".

Grade Level (for internal use): 10 S&P Global Commodity Insights About the Role : Software Development Engineer in Test (SDET III) The Team : The team works in the SAFe agile environment and adheres to all principles of Agile. As SDET, you will work with a team of intelligent, ambitious and results-oriented software professionals. The team is independent in driving all decisions and is responsible for the design and quick turnaround of development of our products with the highest quality. Responsibilities and Impact : In the SDET role, you will make a significant contribution in building solutions to test across data platforms, API, web and services platforms using efficient data comparison methods. Your challenge will be to reduce time to market for products without compromising quality whereby leveraging automation/performance testing as well as innovation. You will use a wide range of technologies and have the opportunity to interact with different internal teams. Design and develop automation/performance/load testing solutions that meet organization standards for APIs/services, database, and web Build reliable, reusable and maintainable automated regression suites & test harnesses Implement CI/CD by integrating automation builds in development pipelines Design and develop test strategies/test cases based on acceptance criteria, execute test cases, analyze and communicate test results to the team/manager Perform in-sprint automated & performance/load testing to fulfill the Definition of Done Participate actively in functional, system and regression testing activities Work in the agile environment, attend and contribute to all scrum ceremonies (daily scrum, sprint planning, backlog refinement and retrospectives) Present work during sprint reviews to wider IT, Product, and Business audience Ensure best practices are followed and testing activities stay on schedule Capture test metrics Work with team members in other geographic locations Investigate new testing methodologies, keeping abreast of latest advances/techniques What Were Looking For: Basic Required Qualifications: Bachelor's/PG degree in Computer Science, Information Systems or equivalent. 7 - 10 years of experience in software testing or development with good understanding of testing, coding and debugging procedures Experience in programming using Java & other languages e.g. Python, C# Experience in design and development of automated tests using automation tools (e.g. Selenium, Appium) across the application layers (UI/Service/Data layers) Experience in API testing using Postman, Rest-Assured (preferred), Ready API and Soap UI Experience in Algorithm Testing or Data Testing Strong performance script creation using Jmeter (preferred), Load Runner/Performance Center Experience with SQL/PL-SQL, writing SQL queries, and stored procedures Experience with source control tools such as GIT, TFS, SVN Experience with CI Engines (Jenkins, Hudson, Cruise Control) including distributed build system management and understanding of the pipeline system Proficient in Agile, QA methodologies, defect management system, and documentation. Demonstrated ability to explain complex technical issues to both technical and non-technical audiences Strong communication skills and ability to deliver clear, concise documentation and presentations

Position Title: Senior QA Engineer Skills QA , Data Testing , Automation with Selenium , Python , ETL testing About the Team Join a dynamic QA team delivering high-quality software for digital banking platforms. As a Senior QA Engineer, you will contribute to automation frameworks, enhance data validation processes, and work closely with developers and business analysts. Impact Your role will ensure test automation coverage, improve reliability of test pipelines, and drive efficiency in delivering software products. Key Deliverables Design and implement automation test scripts using Selenium and Python. Conduct data validation and ETL testing through SQL queries. Work with developers and BAs to translate requirements into effective test cases. Execute regression, functional, and integration tests. Maintain CI/CD automation integration using Jenkins. Provide test reports, defect analysis, and documentation. Key Skills QA , ETL testing with SQL queries , Automation testing with Selenium , Python Skills and Qualification Functional Skills: experience in QA and test automation. Strong understanding of financial/banking applications. Effective communication skills and ability to work in Agile/Scrum teams. Technical Skills: Proficiency in Selenium, Python, SQL, and automation frameworks. Hands-on experience with Git, Jenkins, and defect tracking tools (e.g., Jira). Familiarity with BDD/TDD, TestNG, or PyTest. Exposure to API testing and mobile automation (Appium preferred).

The primary role as part of the Infosys delivery team is to ensure effective Design Development Validation and Support activities to assure client satisfaction with high levels of service in the technology domain. You will be responsible for gathering requirements and specifications to understand client needs in detail and translating them into system requirements. Additionally, you will play a crucial role in estimating work requirements to provide accurate project estimations to Technology Leads and Project Managers. Contributing significantly to building efficient programs and systems, you will have the opportunity to assist clients in their digital transformation journey. With a minimum of 4 years of experience in data testing, SQL, ETL, and hands-on experience with Adobe CDP, you will play a crucial role in the technical aspects of the projects. Proficiency in Adobe CDP and SQL is required for this position. Moreover, the ideal candidate will possess skills in data testing, SQL, ETL, and hands-on experience with Adobe CDP. Preferred Skills: - Technology: Data Services Testing - Data Warehouse Testing - ETL tool If you believe you have the necessary skills and experience to contribute effectively to our team and help clients achieve success in their digital transformation journey, this opportunity may be the perfect fit for you.,

Role & responsibilities Preparation and Review of BMR/BPR/MFR Preparation and Review of Spec/STP/COA and data related to quality control. Communication with third party manufacturer for documentation related to production, quality assurance, quality control and goods Manage vendor documentation Preparation and Approval of Standard operating Procedures (SOPs). Reviewing & checking the raw material, packing materials and finished goods as per the pre-specified criteria. Responsible for review of investigation for quality deviations are conducted, approval of specifications and quality related documents. Responsible for ensuring timely party Audits, approval of Quality Related Change Controls, approval of vendor complaints. Visiting the supporting manufacturing facilities and ensuring the proper manufacturing.

Position Title: Senior QA Engineer About the Team Join a dynamic QA team delivering high-quality software for digital banking platforms. As a Senior QA Engineer, you will contribute to automation frameworks, enhance data validation processes, and work closely with developers and business analysts. Impact Your role will ensure test automation coverage, improve reliability of test pipelines, and drive efficiency in delivering software products. Key Deliverables Design and implement automation test scripts using Selenium and Python. Conduct data validation and ETL testing through SQL queries. Work with developers and BAs to translate requirements into effective test cases. Execute regression, functional, and integration tests. Maintain CI/CD automation integration using Jenkins. Provide test reports, defect analysis, and documentation. Skills and Qualification Functional Skills: 58 years of experience in QA and test automation. Strong understanding of financial/banking applications. Effective communication skills and ability to work in Agile/Scrum teams. Technical Skills: Proficiency in Selenium, Python, SQL, and automation frameworks. Hands-on experience with Git, Jenkins, and defect tracking tools (e.g., Jira). Familiarity with BDD/TDD, TestNG, or PyTest. Exposure to API testing and mobile automation (Appium preferred). Qualification: Bachelor’s degree in Computer Science, Engineering, or related field. Certifications in QA/Automation (ISTQB/CTFL preferred).

So, what’s the role all about? We’re looking for a talented and motivated Senior Automation Engineer (Data Science) to join our Analytics & Data Science team in Pune. If you thrive in a fast-paced environment, love building robust automation frameworks, and enjoy collaborating across Data Science, DevOps, and Product teams—this role is for you. You’ll be at the forefront of validating ML/AI-driven models, containerized applications, and enterprise-scale data systems. You’ll help us fight financial crime by ensuring our solutions are scalable, reliable, and high-performing. How will you make an impact? You’ll work with cutting-edge technologies and contribute to the delivery of high-quality analytics platforms. Your work will directly impact the accuracy and stability of ML models used to detect fraud, money laundering, and compliance violations. Here’s what you’ll be doing: Designing and maintaining automation frameworks for ML models, data pipelines, and analytics solutions. Validating containerized ML models in Kubernetes environments using Helm. Performing performance testing (load, stress, scalability) of ML models. Configuring Kubernetes resources (CPU, memory, pods) for optimal performance and cost efficiency. Setting up and managing cloud-based test environments (AWS/Azure/GCP). Translating functional requirements into detailed test strategies and automated suites. Automating manual testing processes using Python, SQL, and other tools. Collaborating with Data Scientists to validate model outputs for accuracy and compliance. Conducting data validation, ETL testing, and automation of pre/post-processing tasks. Generating client-facing performance reports with actionable insights. Partnering with DevOps teams to enable CI/CD pipelines and SaaS delivery. Identifying gaps and proposing best practices for testing standards and process improvements. Have you got what it takes? 5–7 years of experience in automation engineering, QA, or ML/data testing. Strong proficiency in Python, Pandas, NumPy, and SQL; exposure to Scala is a plus. Experience with test automation frameworks and data validation. Solid understanding of ML model lifecycle and deployment methods (PMML, JAR, containers). Hands-on experience with Kubernetes and cloud platforms (AWS, Azure, GCP). Exposure to performance testing tools and resource optimization. Strong background in data handling (ETL, large datasets). Familiarity with CI/CD pipelines and DevOps tools. Excellent problem-solving, analytical, and debugging skills. Strong communication and collaboration abilities. Bonus points if you have: Knowledge of Actimize solutions and experience in Fraud/AML/Finance domain. Experience with Agile methodologies and cloud-based SaaS delivery models. Exposure to distributed environments and test automation at scale. What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr! Enjoy NiCE-FLEX! At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID: 8569 Reporting into: Tech Manager Role Type: Individual Contributor

Greetings from Blue Altair! About Blue Altair: Have you thought about the role youll play in the AI universe of tomorrow? At Blue Altair, we believe each employee is a starfull of diverse elements that emit brilliant light. Just as stars illuminate the night sky, our team members light up the business and technology world with their talent, creativity, and dedication. Blue Altair is an innovative, industry-recognized consulting firm that leverages transformative technologies to enable AI and drive digital success for its clients. Founded in 2015, our services span Assessment and Strategy, Technology Implementation, and Managed Services across API Management and Integration, Data Management, Digital Application Development, and Data Science and AI. We are proud to exceed industry standards for project success, thanks to our expert focus on program and project management, business analysis, and quality assurance. Working at Blue Altair means being part of a vibrant, dynamic team that drives digital change and empowers clients to embrace AI transformations. No matter the role you fill, you'll help shape the digital future and make a real difference. So, if you're a star ready to shine even brighter, we can't wait to meet you. Join us at Blue Altairwhere we're not just transforming businesses but shaping the AI universe one star at a time! Job Overview: Title: Consultant/Sr. Consultant QA Engineer Location: Pune Experience: 3-6 years Roles and responsibilities: Must have good understanding and experience in designing and developing API,UI,DATA testing strategies, test cases designing. Select appropriate test automation tools, applying the latest techniques and execute test cases in different test environments. ¢ Must have good experience in developing/executing automated test scripts and setting up the environment. ¢ Good knowledge of Agile-Scrum methodologies. ¢ Strong knowledge of JIRA. ¢ Good understanding of managing test suites and test documentations. ¢ Actively participated in analyzing and verifying the best automated and manual test approaches and in various testing stages during development/deployment and production release. Education and Experience Required : ¢ Bachelors or Masters degree in computer science or relevant experience ¢ Strong communication skills. ¢ Testing/Automation certification is highly desired. Benefits: In addition to a competitive compensation package, we offer abundant opportunities for you to achieve, excel, and surpass even your own expectations. Aligned with Blue Altair's challenger ethos, we present the Star Elements program, inspired by the composition of stars themselves, comprising diverse elements that give unique qualities and illuminate for thousands of years. Likewise, our initiative aims to facilitate brilliance in our employees. The Star Elements program encompasses a range of benefits, supporting our team across four pivotal facets of their lives and careers. Through Star Elements, our employees can fully realize their potential, both on personal and professional fronts.

As a Data Quality Engineering Lead (Global Markets) in the Markets Division of a leading global bank, you will be responsible for ensuring the accuracy, consistency, and reliability of data across various systems used in trading, risk management, regulatory reporting, and financial analytics on a global scale. Your expertise in capital markets, trading systems, risk analytics, and regulatory compliance will be crucial in establishing enterprise-wide data quality frameworks that enhance trading operations, support risk mitigation, and ensure compliance with regional and global financial regulations. Working with cross-functional teams across multiple geographies, including APAC, EMEA, and NAM, you will play a key role in developing and enforcing global data quality frameworks for front-office, middle-office, and back-office systems supporting multi-asset class trading. Your responsibilities will also include ensuring data integrity across global trading platforms, pricing models, risk engines, and regulatory compliance systems, as well as implementing automated data validation for real-time market data, trade transactions, and post-trade analytics. Collaboration with trading desks, quants, risk, and compliance teams across different time zones will be essential in resolving data anomalies and embedding data quality checks in CI/CD pipelines for front-office trading applications. Additionally, you will define and monitor key data quality metrics across global financial systems, establish data lineage and governance frameworks for regulatory reporting, and ensure compliance with global and regional regulatory frameworks such as Basel III, MiFID II, Dodd-Frank Act, and more. Your role will also involve leading initiatives on AI/ML-based data anomaly detection, providing thought leadership in data observability, automated testing, and cloud-based data quality solutions. With over 10 years of experience in Data Quality Engineering, Data Governance, or Data Testing within a global banking or capital markets environment, you will bring strong domain knowledge of global markets trading infrastructure, multi-asset classes, financial risk modeling, and technical expertise in data quality tools, SQL, Python, big data platforms, and cloud services. In this position, you will have the opportunity to work at a global scale, collaborate with teams across different regions, lead data quality initiatives that drive regulatory compliance and market efficiency, engage with cutting-edge trading technology, and shape the future of data governance in a high-frequency trading and real-time analytics environment. Join us to make a significant impact on the bank's ability to manage financial risk, optimize trading strategies, and meet regulatory requirements in the dynamic world of global capital markets.,

Role & responsibilities Skillset: Data testing , Pyspark (added advantage), SQL, Databricks, Data exposure 8-10 yrs of experience in Automated Data testing with expertise in scripting, SQL, pySpark, Should be able to drive the Quality topic for the project Responsible for defining and aligning test strategy with stakeholders and ensuring the quality and functionality of the platform. Candidate must be able to communicate effectively. Coordinate, plan and perform various types of testing, such as system integration testing, user acceptance testing, performance testing, to identify any bugs, issues, or vulnerabilities in the platform Create and execute test cases and coordinate all testing documentation Implement automation scripts and tooling to expedite testing timeframes. Familiarity with PySpark and SQL required. Preferred candidate profile

Job Description We are seeking a highly skilled ETL Tester with strong SQL and Python experience to join our data engineering team. In this role, you will be responsible for validating data pipelines, ensuring data quality, and supporting data integration processes by writing robust tests and automations. Responsibilities: Design and execute ETL test cases to validate data extraction, transformation, and loading processes. Develop and maintain automated test scripts using Python for data pipeline validation. Write complex SQL queries to verify data integrity and consistency across source and target systems. Perform data reconciliation, data profiling, and data quality checks. Work closely with data engineers, developers, and analysts to understand ETL logic and business requirements. Identify data quality issues and work with development teams to resolve them. Create detailed test plans, test cases, and test reports. Participate in code reviews and contribute to test automation best practices. If interested , please share your resume on recruitment@hirehubitsolutions.com

4+ years of experience in a QA/Data Quality role, preferably within the investment management or financial services industry. Strong knowledge of front-to-back office data flows and investment data domains (securities, pricing, positions, transactions, benchmarks, analytics). Experience working with the Alpha Data Platform (ADP) or similar platforms (e.g., State Street Alpha, BlackRock Aladdin, SimCorp, Charles River). Hands-on experience in writing and executing SQL queries for data validation and testing. Familiarity with data quality tools and test automation frameworks (e.g., Informatica DQ, Tricentis, Selenium, Python, or similar). Strong understanding of data governance, data lineage, and master/reference data management principles. Proven ability to identify, troubleshoot, and resolve complex data-related issues. Excellent communication skills and the ability to collaborate effectively with cross-functional teams

You will be responsible for working with Python and Robot Framework, with a minimum of 5 years of experience in this field. You should have at least 3 years of working knowledge in Python and 2 years of hands-on experience in data testing, specifically in ETL Testing. Additionally, you should have at least 2 years of experience working with databases such as MYSQL, SQL Server, and Oracle. It is essential that you are well versed with Agile Methodology. This position is a Contract to Hire role and requires immediate joiners. The job location could be in Chennai, Hyderabad, Kolkata, Bangalore, Pune, or Bhuvaneshwar.,