164 Data Testing Jobs - Page 2

As an Expert Engineer in the GPS Technology department located in Gurugram, India, reporting to the Project Manager, you will be an integral part of the Technology function providing IT services to Fidelity International business globally. Your role involves developing and supporting business applications that are crucial for revenue, operational efficiency, compliance, finance, legal, customer service, and marketing functions. Your primary responsibility will be to understand system requirements, analyze, design, develop, and test application systems following defined standards. Your expertise in software designing, programming, engineering, and problem-solving skills will be crucial in delivering value to the business efficiently and with high quality. Your essential skills will include working on Data Ingestion, Transformation and Distribution using AWS or Snowflake, experience with SnowSQL, Snowpipe, ETL/ELT tools, and hands-on knowledge of AWS services like EC2, Lambda, ECS/EKS, DynamoDB, VPCs. You will be familiar with building data pipelines leveraging Snowflake's capabilities and integrating technologies that work with Snowflake. Moreover, you will design Data Ingestion and Orchestration Pipelines using AWS and Control M, establish strategies for data extraction, ingestion, transformation, automation, and consumption, and ensure data quality and code coverage. Your ability to experiment with new technologies, passion for technology, problem-solving, and effective collaboration skills will be essential for success in this role. To qualify for this position, you should hold a B.E./B.Tech. or M.C.A. in Computer Science from a reputed University with a total of 7 to 10 years of relevant experience. Personal characteristics such as good interpersonal and communication skills, being a strong team player, strategic thinking, self-motivation, and problem-solving abilities will be highly valued. Join us in our mission to build better financial futures for our clients and be a part of a team that values your well-being, supports your development, and offers a flexible work environment. Visit careers.fidelityinternational.com to explore more about our work culture and how you can contribute to our team.,

We are seeking a skilled ETL Data Tester to join our dynamic team on a 6-month contract. The ideal candidate will focus on implementing ETL processes, creating comprehensive test suites using Python, and validating data quality through advanced SQL queries. The role involves collaborating with Data Scientists, Engineers, and Software teams to develop and monitor data tools, frameworks, and infrastructure changes. Proficiency in Hive QL, Spark QL, and Big Data concepts is essential. The candidate should also have experience in data testing tools like DBT, iCEDQ, and QuerySurge, along with expertise in Linux/Unix and messaging systems such as Kafka or RabbitMQ. Strong analytical and debugging skills are required, with a focus on continuous automation and integration of data from multiple sources. Location: Chennai, Ahmedabad, Kolkata, Pune, Hyderabad, Remote

8 -10 years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols) Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required Good knowledge of metadata management, data modeling, and related tools (Erwin or ER Studio or others) required Experience of 2 to 3 years doing data analysis and data testing Good working knowledge of SQL Good data analysis skills to query, map and document source to target mappings, understand data schemas and modeling Good communication and documentation skills

You are an experienced Quality Engineer with 6 to 8 years of experience (B2 level) and possess a strong skillset in testing analytical systems. Joining the RE&ILS Operations value stream, you will play a crucial role in ensuring the quality and reliability of data solutions within the Operations Value Stream. Your responsibilities include developing and executing comprehensive test plans and test cases for data solutions such as data pipelines, ETL processes, and data warehouses. You will conduct data validation and verification to guarantee data accuracy, completeness, and consistency. It is essential for you to identify, document, and track defects and issues while collaborating with development teams to resolve them. Collaboration with data engineers, data scientists, and other stakeholders is necessary to understand data requirements fully and ensure that testing covers all necessary scenarios. You will automate data testing processes using appropriate tools and frameworks, as well as conduct performance testing to ensure that data solutions can handle expected workloads. Participating in code reviews and providing feedback on data quality and testing practices will be part of your routine. You must continuously improve testing processes and methodologies to enhance the efficiency and effectiveness of data testing. Requirements for this role include proven experience in data testing and quality engineering, a strong understanding of data engineering practices including ETL processes, data pipelines, and data warehousing. Proficiency in SQL and experience with database management systems like MS SQL Server is essential. Knowledge of SSIS, SSAS, data testing tools and frameworks (e.g., pytest, dbt), cloud data platforms (e.g., Snowflake, Azure Data Factory), strong analytical and problem-solving skills, excellent communication and collaboration skills, as well as the ability to work independently and as part of a team are also required.,

As a Software Engineer at Wells Fargo, you will be involved in low to moderately complex initiatives and projects within the technology domain. Your responsibilities will include participating in installation, upgrades, and deployment efforts, identifying opportunities for service quality improvements, designing, coding, testing, debugging, and documenting projects associated with the technology domain. You will also review and analyze technical challenges, provide recommendations for issue resolution, and collaborate with technology colleagues, internal partners, and stakeholders. Required qualifications for this role include a minimum of 2 years of software engineering experience or equivalent demonstrated expertise through work experience, training, military service, or education. Desired qualifications encompass 2+ years of application development and implementation experience, proficiency in Data, SQL, and Bigdata, expertise in SQL, ETL Technologies, NoSql DB's, and Big data, exposure to DW-BI Development, expertise in building Cloud Native enterprise applications, experience in implementing Unit Testcases and data validations, familiarity with CI/CD tools, and the ability to work in a hybrid work schedule including weekends and outside regular business hours as needed. This job posting closes on 25 Mar 2025, though it may close earlier due to the volume of applicants. Wells Fargo values diversity in its workforce and encourages applications from all qualified candidates, including women, persons with disabilities, aboriginal peoples, and visible minorities. Accommodations for applicants with disabilities are available upon request during the recruitment process. Candidates are required to represent their own experiences during the recruitment and hiring process. Third-party recordings are prohibited without authorization from Wells Fargo. Wells Fargo maintains a drug-free workplace, and applicants can refer to the Drug and Alcohol Policy for more information. If you need a medical accommodation during the application or interview process, please visit Disability Inclusion at Wells Fargo.,

You are sought after by Shrine Software, a Salesforce Certified Partner company, to join as a detail-oriented and motivated Quality Assurance (QA) Engineer in Ahmedabad, India. Your role involves contributing to the quality and reliability of software solutions through understanding business requirements, writing test cases, and validating applications based on user personas. Your experience as a QA Engineer should be at least 2 years to qualify for this full-time position. Your responsibilities will include understanding business requirements and user personas to create test cases and scenarios, performing manual and basic automated testing for UI and data validations, validating data consistency and accuracy across systems, collaborating with developers and business analysts, documenting and tracking defects, and executing cross-browser and cross-platform testing. The minimum requirements for this position include basic knowledge of UI and data testing, willingness to learn automation tools, ability to write and execute test cases based on business requirements, familiarity with SQL for data validation, good understanding of software testing concepts and methodologies, and strong communication and problem-solving skills. Preferred skills include experience with automation tools like Selenium, exposure to API testing using Postman, and familiarity with Agile workflows and tools like JIRA. If you are based in Ahmedabad and possess a B.E/B.Tech/MCA or higher qualification, Shrine Software invites you to be a part of their team and kickstart your career in quality assurance by contributing to high-impact projects and innovative solutions. Share your CV at hr@shrinesoft.com to apply for this exciting opportunity.,

Key Responsibilities: Develop and execute test plans, test cases and test scripts for Azure based data solutions. Validate ETL/ELT processes in Azure Data Factory. Perform Data reconciliation between source systems and target data stores (e.g. Azure Data Lake) Perform end-to-end testing including functional, regression, integration testing. Develop and maintain automated test scripts for data validation and regression testing. Work closely with Data Engineers, Analysts to identify and resolve data quality issues. Using SQL queries to perform in-depth data validation. Test performance, scalability, and reliability of Azure data pipelines. Identify, document and track defects to closure using tools like JIRA or Azure DevOps. Document test results, defects, and root cause analysis. Ensure compliance with Data governance, security standards and industry best practices. Lead and mentor junior QA team members and support them in test planning and execution. Participate in code reviews and contribute to continuous improvement in QA processes. Requirements : 2 to 6 years of experience in Data testing and quality assurance. Strong knowledge of SQL for Data querying and validation. Experience with ETL testing and Data Pipeline validation Exposure to Azure cloud platform. Solid knowledge of defect tracking tools (e.g., JIRA, Azure DevOps). Familiarity with DevOps CI/CD pipelines and tools like Git, or similar. Good communication skills and ability to work in a cross-functional team. Experience in Python for test automation. Experience in testing APIs using Postman, Swagger, or similar tools. Strong understanding of SDLC, STLC, Agile/Scrum methodologies. Proficiency in manual testing and at least one test automation framework (Selenium, Cypress, etc.).

We are seeking passionate Data Scientists interested in collaborating with a US Startup. If you are enthusiastic about creating machine learning solutions using Python and are eager to gain experience in a Startup environment, this position offers the flexibility to work from any location with a stable internet connection. Forget about long commutes and in-person meetings work remotely from your preferred spot, whether it's a vacation spot or a peaceful farm in the countryside. If you are ready to work diligently and enjoy your time off, we are excited to have you join our team. Candidates applying for this position are required to complete a pre-screening behavioral assessment form as part of the application process. Without this assessment, candidates will not be considered for the role. As a potential candidate, you should be a pre-final year student in Statistics/Math, Computer Science, Finance/Economics, or a related quantitative field. Ph.D. candidates are strongly encouraged to apply. Proficiency in using ML libraries like Scikit-learn, caret, NLTK, or spark MLlib is essential. You should possess excellent software skills, particularly in Python's Data Science stack, and be capable of building statistical and ML models to analyze historical performance and devise predictive solutions. Data Engineering experience or coursework is advantageous, along with the ability to integrate diverse data sources. Proficiency in SQL, relational databases, MS-Excel, data visualization tools like Power BI and Tableau, UNIX Operating System, Docker, and Git is preferred. Strong analytical, design, problem-solving, and troubleshooting skills are necessary, along with the ability to work independently without constant supervision. In this role, you will conduct empirical research under senior researchers" guidance using public and proprietary data, perform data gathering, cleaning, and modeling tasks, and maintain datasets. Your responsibilities will also include data preparation, testing, and developing visual aids to facilitate decision-making. Additionally, you will utilize statistical techniques to derive analytic insights, hypotheses, and recommendations, conduct quantitative analyses using Python and SQL, diagnose and resolve production issues, and collaborate with development teams to enhance the company's technology suite. The ideal candidate is highly quantitative, reliable, independent, and capable of multitasking. Transparency, collaboration, strong communication skills, self-motivation, ownership of projects, passion for product improvement, and a willingness to experiment with new tools and techniques are essential qualities. Pursuing or completing a Ph.D./Masters in Finance, Economics, or Business, prior experience in building quantitative models, curiosity about Finance, and internships in Financial Services are desirable but not mandatory. We offer flexible working hours and a competitive stipend/salary. Candidates from top schools at Pune University, Mumbai University, NIT, IISER, TIFR, IIT, ISI, or leading schools in the USA/UK will be given preference. Please ensure your assignment is submitted as a zip attachment via email, adhering to the guidelines provided. Plagiarism from AI platforms such as ChatGPT is strictly prohibited and will result in disqualification.,

As a Senior Quality Assurance (QA) Engineer in Tax Technology, your role involves collaborating with stakeholders to gather data testing requirements and understand business needs. You will be responsible for leading, designing, and executing test plans for data pipelines, ETL processes, and analytics platforms. Validating data accuracy, integrity, and transformations across systems will be a critical aspect of your role. Your responsibilities will also include developing and maintaining automated test scripts for data validation and reporting, as well as identifying data quality issues, reporting defects, and verifying fixes. Working in Agile teams, you will contribute to continuous improvement and best testing practices. To excel in this role, you should have proven expertise in testing Data and Analytics components, with a strong focus on test strategy development. Your skills in data transformation and validation testing, using both manual and automated methods, will be crucial. Experience in testing Power BI dashboards and PowerApps to ensure the accuracy of metrics and visualizations is also required. Hands-on experience in projects utilizing tools like Alteryx, Azure Data Factory, and programming languages such as SQL and Python is essential. Familiarity with modern data platforms and tools including Databricks, Azure Data Lake Storage (ADLS), Azure SQL, Microsoft Fabric, and PowerApps is desired. You should be proficient in leading User Acceptance Testing (UAT) and coordinating with business users. Strong collaboration skills are necessary to resolve data-related technical issues and support data infrastructure requirements effectively. Keeping up-to-date with emerging trends and technologies in the data and analytics space will be expected to stay ahead in the field.,

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 QA/QE - QA Automation - ETL Testing ETL - ETL - Tester Beh - Communication and collaboration Database - Sql Server - SQL Packages Database - PostgreSQL - PostgreSQL

5-8 years of experience in Data Testing using SQL Knowledge of Python is a plus Domain expertise in Risk and Finance IT Mandatory Competencies QA/QE - QA Automation - DB Testing (SQL/Oracle) QA/QE - QA Automation - ETL Testing

Proven experience in data testing, data validation, or ETL testing Strong knowledge of SQL for querying and validating datasets Understanding of data transformation principles and mapping documents Experience with data reconciliation techniques and tools Familiarity with source-to-target data mapping and working with large data sets Good analytical and problem-solving skills Attention to detail and a strong focus on data quality and integrity Good communication and documentation skills Knowledge on Excel- Vlookup, Macros mandatory Experience on ETL tools will be an added advantage

Why Join Us? Are you inspired to grow your career at one of Indias Top 25 Best Workplaces in IT industry? Do you want to do the best work of your life at one of the fastest growing IT services companies ? Do you aspire to thrive in an award-winning work culture that values your talent and career aspirations ? Its happening right here at Iris Software. About Iris Software At Iris Software, our vision is to be our clients most trusted technology partner, and the first choice for the industrys top professionals to realize their full potential. With over 4,300 associates across India, U.S.A, and Canada, we help our enterprise clients thrive with technology-enabled transformation across financial services, healthcare, transportation & logistics, and professional services. Our work covers complex, mission-critical applications with the latest technologies, such as high-value complex Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation. Working at Iris Be valued, be inspired, be your best. At Iris Software, we invest in and create a culture where colleagues feel valued, can explore their potential, and have opportunities to grow. Our employee value proposition (EVP) is about “Being Your Best” – as a professional and person. It is about being challenged by work that inspires us, being empowered to excel and grow in your career, and being part of a culture where talent is valued. We’re a place where everyone can discover and be their best version. www.irissoftware.com Title- Senior ETL QA Location- Delhi/ Noida/ Pune/Gurugram Mode- Hybrid Shift: 12:30 PM- 9:30 PM IST 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. • 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. If Interested, share your resume on Kanika.singh@irissoftware.com Notice Period- Max 1 Month

Key Responsibilities A Bachelor's Degree in Computer Science, Information Technology, or a related field is required, along with at least 6+ years of relevant experience in QA Automation of AWS Serverless technologies testing tools. Demonstrated skills in planning, designing, developing, implementing and maintaining software test scripts for automated testing. Execute software test scripts and analyze results and ensure that application software performs correctly and meets customer requirements. Solid experience in creating and maintaining test automation frameworks. Excellent knowledge of Quality Assurance principles and practices. Ability to analyze technical documents and understand software solutions. Identify and document issues in the system in detail. Provides technical guidance to ensure software quality. Troubleshoot and debug application problems. Develop software tool automated tests using appropriate advanced technologies and techniques. Work closely with development teams to ensure quality product delivery. Create and maintain detailed reports and documentation for software test scripts. Create and maintain comprehensive automated test scenarios and test plans. Monitor changes in the automated testing process and recommend solutions for improvement. High level of technical problem-solving skills. Excellent written and verbal communication. Qualifications A bachelors degree in computer science, information technology or any relevant disciplines is required. A master’s degree is preferred. At least 4+ years of automation testing experience. Role & responsibilities Preferred candidate profile Perks and benefits

Company Name: Hexaware Technologies Experience: 9-12 Years Location: Pune/Chennai/Coimbatore (Hybrid Model) Interview Mode: F2F Interview Date: 23rd Aug (Saturday) Interview Rounds: 2 Rounds Notice Period: Immediate to 30 days Job description: ETL Tester with 6+ Years of BigData experience Good programming/scripting experience in SQL, PySpark and Python Collaborate with cross-functional teams to understand project requirements and Big Data system specifications. Develop detailed test plans, test cases, and test scripts tailored to Big Data testing needs. Execute manual test cases to verify the correctness and completeness of data transformation processes Validate data ingestion and extraction procedures, ensuring data accuracy and consistency. Identify and document defects, anomalies, and data quality issues. Utilize Big Data technologies such as Hadoop, Spark, Hive and related ecosystem components for testing. Write and execute complex queries in SQL, HiveQL, or other query languages to validate data processing and transformation. Perform regression testing to ensure that previously identified defects have been resolved and new changes have not introduced new issues. Maintain regression test suites specific to Big Data applications. Collaborate closely with developers, data engineers, and data scientists to understand data processing logic and resolve issues. Effectively communicate test results, progress, and potential risks to project stakeholders. Good in Jira and Testing methodologies

Company Name: Hexaware Technologies Experience: 6-9 Years Location: Pune/Chennai/Coimbatore (Hybrid Model) Interview Mode: F2F Interview Date: 23rd Interview Rounds: 2 Rounds Notice Period: Immediate to 30 days Job description: ETL Tester with 6+ Years of BigData experience Good programming/scripting experience in SQL, PySpark and Python Collaborate with cross-functional teams to understand project requirements and Big Data system specifications. Develop detailed test plans, test cases, and test scripts tailored to Big Data testing needs. Execute manual test cases to verify the correctness and completeness of data transformation processes Validate data ingestion and extraction procedures, ensuring data accuracy and consistency. Identify and document defects, anomalies, and data quality issues. Utilize Big Data technologies such as Hadoop, Spark, Hive and related ecosystem components for testing. Write and execute complex queries in SQL, HiveQL, or other query languages to validate data processing and transformation. Perform regression testing to ensure that previously identified defects have been resolved and new changes have not introduced new issues. Maintain regression test suites specific to Big Data applications. Collaborate closely with developers, data engineers, and data scientists to understand data processing logic and resolve issues. Effectively communicate test results, progress, and potential risks to project stakeholders. Good in Jira and Testing methodologies

The ideal candidate for the Data QA position should have 6 to 10 years of experience in ETL+ DWH Testing and Cloud Testing with expertise in AWS (S3 & Glue) and Azure, along with proficiency in SQL Server, including writing SQL queries. Additionally, familiarity with Snowflake, ADF, and API Testing is essential. Key technical skills required for this role include a strong understanding of Boomi or similar integration tools like MuleSoft, Informatica, Talend, or Workato, experience with Data Bricks, in-depth knowledge of ETL Testing, proficiency in writing SQL Queries, and good technical documentation skills. The candidate should also possess strong communication skills to effectively interact with both technical and non-technical stakeholders. Desirable skills for this role include Data Testing on AWS using Athena, the ability to run and troubleshoot AWS Glue Jobs, understanding of Data Warehousing concepts, and proficiency in Python and Apache Spark. The working hours for this position are from 11:00 am to 8:00 pm, with flexibility required for potential overlap with EST as per project requirements. This is a full-time position with a duration of 1 year, and the candidate is expected to work 2/3 days from the office in Bangalore, Pune, Mumbai, Hyderabad, or Noida, based on the hybrid model.,

The Audit Analyst III role at Allstate is a vital position supporting Internal Audit in conducting risk-based audits across business operations and strategic initiatives. This role is perfect for individuals aiming to build a career in risk, controls, and business advisory. Collaborating closely with senior auditors, you will be involved in program development and the entire engagement lifecycle. Your responsibilities will include ensuring the integrity of financial and operational controls, as well as guaranteeing the company's compliance with SOX requirements. Key Responsibilities: - Assisting in the preparation of audit engagement documentation such as process narratives and risk/control matrices with guidance. - Conducting control walkthroughs with control owners to grasp business or process design. - Requesting and organizing audit evidence like business process documentation and spreadsheets using predefined templates. - Performing basic data testing utilizing Excel functionalities like filter and pivot tables along with structured templates. - Tracking audit task assignments and updating planner boards during Agile sprint cycles. - Maintaining organized and complete audit workpapers within an audit management system such as TeamMate or Workiva. - Participating in daily stand-ups and retrospectives to communicate status, assist in delivering backlog, and learn from team feedback. - Shadowing senior auditors during stakeholder interviews, issue discussions, and final report presentations. - Supporting testing or monitoring of remediation efforts for closed findings in accordance with audit procedures. - Initiating exploration of automation tools like Power BI, Python scripts, and generative AI prompts for audit documentation. Education: - A 4-year Bachelor's Degree is preferred. Experience: - 0-2 years of experience is preferred. Supervisory Responsibilities: - This position does not involve supervisory duties. Certifications: - Core certifications such as CPA, CA, CISA, CIA, or CFE are preferred for this role. While not mandatory at this level, these certifications become necessary for advanced roles and must be obtained within 18 months if not already held. Travel Requirements: - Minimal travel is required, approximately 15%. Primary Skills: Not specified in the provided Job Description. Shift Time: Shift C (India) Recruiter Info: - Ms. Vibha Chaturvedi - Email: vaaa6@allstate.com About Allstate: Allstate is dedicated to protecting families and their belongings from life's uncertainties, with a legacy of over 90 years. The company's innovative drive has consistently kept them ahead of evolving customer needs. Allstate is renowned for advocating safety measures like seat belts, airbags, and graduated driving laws, as well as being a pioneer in pricing sophistication, telematics, and device and identity protection. Joining the Allstate team presents an opportunity to elevate your skills, challenge the status quo, and shape the future of protection while supporting meaningful causes. Allstate Corporation stands as one of the largest publicly held insurance providers in the United States, owning and operating multiple companies across different regions. Allstate India, established in 2012, operates as a critical strategic business services arm of the corporation, offering expertise in various business areas. With offices in Bengaluru and Pune, Allstate India is an integral part of the corporation's operations and technology innovation. To learn more about Allstate India, visit [Allstate India website](https://www.allstateindia.com/).,

As a dynamic global technology company, Schaeffler's success is attributed to its entrepreneurial spirit and long history of private ownership. Partnering with major automobile manufacturers, aerospace, and industrial sectors, Schaeffler provides numerous development opportunities for individuals like you. Your key responsibilities in this role will include researching and defining analytical models based on provided data/information for analytical ad hoc feasibility cases, proofs of concepts, or with a focus on software development for deployable analytics solutions. You will collaborate with internal and/or external clients to grasp business requirements, compile, sort, and organize function-specific information and data for subsequent analyses, conduct routine and instant data cleaning and testing, as well as identify and resolve data quality issues in cooperation with the team. Additionally, you will analyze data for feasibility cases and proofs of concepts, actively contributing to the research and definition of analytical models for eventual product transfer. To qualify for this position, you should hold a Graduate Degree in Business Informatics, Applied Computer Science, Mathematics, Software Engineering, or Machine Learning, with 1 to 3 years of relevant experience. At Schaeffler, we value respect and diverse perspectives among our global employees. By appreciating differences, we foster creativity and drive innovation, contributing to sustainable value creation for our stakeholders and society. Together, we advance the future through innovation, offering exciting assignments and exceptional development opportunities. We eagerly anticipate your application to join our team. For further details and to apply, visit www.schaeffler.com/careers. For any technical queries, please reach out to Kalyani More at Schaeffler Technology Solutions India Pvt. Ltd. via email at technical-recruiting-support-AP@schaeffler.com.,

You will be responsible for performing manual testing of web and mobile applications. This includes creating, executing, uploading, and maintaining test cases and test scenarios on JIRA. You will need to identify, track, and report defects using JIRA or similar bug-tracking tools. Ensuring compliance with banking & financial regulations for secure transactions will be a key aspect of your role. Collaboration with developers, business analysts, and product teams in an Agile environment is essential. Your skills in manual testing, including Functional, UI, Regression, and End-to-End testing, will be crucial. Experience in working with cards Stimulators and POS & Soft POS for enabling seamless transactions for merchants is required. You should also have experience in Wallet & Account Management, including managing funds, transfers, withdrawals, beneficiary & transaction management, and onboarding & card addition for Visa, Mada, and Apple Wallet integration. Proficiency in bug tracking & test management using JIRA or similar tools is necessary, as well as an understanding of APIs (no hands-on API testing required). Banking/FinTech domain experience is preferred but not mandatory. Qualifications for this role include skills in Test Automation, Load & Performance Testing, Security Testing, Cyber Security Audit, User Acceptance Testing, and Mobile Application Testing. Additionally, proficiency in Quality Engineering and Data Testing, along with strong analytical and problem-solving abilities, will be beneficial. Excellent communication and leadership skills are required, and previous experience in a similar role is a plus. A Bachelor's degree in computer science, Engineering, or a related field is expected. This position offers a remote opportunity for Senior Test Engineers / Lead Engineers with 4-10 years of experience. Join a culture of continuous learning, innovation, and success to contribute effectively to the team.,

We are looking for candidates to fill two key roles in Teamcenter Migration: Migration IC and Migration Testing. The ideal candidate should have a mix of technical and non-technical skills as detailed below. For the position of Teamcenter Migration IC: Technical Skills: - Proficiency in Teamcenter Implementation - Basic knowledge in ITK Customization, RAC Customization, and Teamcenter Configuration - Intermediate level skills in Teamcenter User - Basic understanding of Data Migration including ETL Toolset and Teamcenter Export / Import - Intermediate expertise in C/C++ Development, Java, and SQL Scripting Non-Technical Skills: - Advanced capabilities in Working in Teams - Basic skills in Mentoring and Module Lead roles - Advanced proficiency in English For the role of Teamcenter Migration Testing: Technical Skills: - Minimum 3-4 years of hands-on experience in functional, regression, and system testing for Teamcenter PLM projects - Experience in Data Testing and Usability tests based on Migration Data Loads - Good understanding of Teamcenter Functionalities and usage - At least 2 years of hands-on experience in Active Workspace Testing - Ability to analyze customer requirements, translate business use cases into test cases, and document Test Results - Familiarity with Defect Lifecycle management, defect severity, and priority - Knowledge of the Data Migration Process - Support for key users during UAT and SRT - Excellent communication skills and interaction with Test Managers - Experience with ALM test management tool is a plus - Knowledge of Agile framework If you meet the qualifications and are interested in these roles, please apply at: [Apply Here](https://mechispike.com/quickapplication/) To explore more opportunities in PLM with MechiSpike Solutions, visit: [Openings with MechiSpike Solutions](https://mechispike.com/openings/) Learn more about Mechispike, our values, and work culture at: [About Mechispike](https://mechispike.com/about-us/) MechiSpike is a PLM/CAx services company with a strong team delivering projects in Teamcenter, Enovia & Windchill. We offer learning opportunities, earning potential, and career growth paths to all employees, ensuring zero attrition. Find out about the Employee benefits & work culture here: [Employee benefits & work culture](https://mechispike.com/careers/) For Mechispike reviews, visit: [Mechispike Reviews](https://maps.app.goo.gl/UFzmomThT7pSVZY5A) We handle various projects across the PLM spectrum including staffing, Development, Migration, Upgrade, Support, or implementation, and are proud partners with global companies in India, Germany, and the USA.,

Joining KPMG means joining a talented team of exceptional colleagues who bring innovative thoughts and a natural curiosity to the work they do each day. No one type of person succeeds at KPMG; a diverse business requires diverse personalities, characters, and perspectives. There really is a place for you here. We are seeking an experienced and highly skilled resource having 1 to 3 years of IT experience with expertise in QA specialist/Functional Tester who will play a crucial role in driving the process efficiency and innovation and solutions. The ideal candidate should have knowledge of testing methods and processes, experience in functional and data testing, hands-on experience in Functional testing System/Integration & UAT, and expertise in preparing detailed Test Cases, writing Test Scripts by decomposing Business Requirements, Test Scenarios, and Test execution. Additionally, the candidate should possess good knowledge of STLC, Black box test techniques & methodologies, experience with defect management applications like HP ALM, Jira, and hands-on experience with a variety of testing tools, Manual functional testing with agile and scrum methodology. The successful candidate should have high awareness of software quality, strong analytical and conceptual skills, excellent communication skills with the ability to influence senior management and stakeholders, build and maintain strong team and client relationships, and acquire and analyze test data effectively. Being flexible to work on any project requirements and work timings, and communicating and interacting with appropriate areas on problems, changes, and enhancements that may impact data, workflow, and functionality are crucial aspects of the role. Strong problem-solving and troubleshooting skills with the ability to exercise mature judgment and excellent reporting skills to executive management on testing activities and issues are also required. The Consulting business at KPMG Global Services (KGS) is a diverse team of more than 6400 professionals working with KPMG Firms worldwide to transform clients" businesses across industries through the latest technology and innovation. Technology professionals at KGS combine deep industry knowledge with strong technical experience to deliver real value for clients. KGS provides experiences that will stay with you for a lifetime, including great training and development, mobility opportunities, and corporate responsibility volunteering activities. At KGS, diversity, inclusion, and equity are deeply committed to, offering a safe and inclusive environment built on trust where all colleagues can bring their authentic selves to work and know that their uniqueness is valued. Join KGS and unlock opportunities to build a global network, access great support, vast resources, and an inclusive, supportive environment to help you reach your full potential.,

At EY, you will have the opportunity to build a career tailored to your uniqueness, with global reach, support, an inclusive culture, and cutting-edge technology to help you become the best version of yourself. Your distinctive voice and perspective are crucial in aiding EY's continuous improvement. By joining us, you will not only create an exceptional experience for yourself but also contribute to building a better working world for all. As a Senior Mobile Automation Tester, your role involves collaborating with the mobile team to design, deploy, and execute test plans. Your primary focus will be on implementing the test automation strategy to ensure the delivery of clean, bug-free features, fixes, and applications efficiently. Responsibilities: - Testing mobile apps including Hybrid, Native, and Web Apps. - Developing automation frameworks and enhancing framework components. - Writing QA automation tests for mobile apps using tools like Appium, Espresso, XCUI Test, etc. - Understanding CI/CD Pipeline, DevOps, Agile methodologies, and various testing aspects. - Designing automation tests for mobile applications and backend services. - Running automation scripts, analyzing test results, and generating reports. - Planning and setting up test environments for efficient execution of test plans. - Collaborating with the Mobile Solution Engineering team to grasp application specifics. - Reviewing designs for testability considerations and providing feedback. - Communicating and resolving software defects, tracking quality assurance metrics. - Managing a test team and supporting their development activities. People Responsibilities: - Demonstrating good people management skills by guiding, leading, and motivating the team. - Contributing to people initiatives such as recruitment, retention, and training. - Innovating and finding efficient work methods while upholding quality standards. - Adhering to workplace policies and procedures. Requirements: - BE/BTech/MCA degree. - 6-9 years of hands-on experience in testing various types of mobile applications. - Proficiency in automating test cases for iOS and Android apps using tools like Appium. - Experience with Selenium WebDriver, Espresso, XCUI Test, and object-oriented programming languages. - Familiarity with Jenkins, Git, XCode, cloud devices, unit testing, and Agile practices. - Strong background in automated testing tools and methodologies. Nice to Have Skills: - Exposure to Non-UI Testing, backend testing, and Non-Functional Testing. - Adaptability to customer and project needs, willingness to travel as per project requirements. - Knowledge of Mobile Application Management and enterprise mobile infrastructure. Join EY to contribute to building a better working world, where diverse teams across 150 countries provide trust and innovative solutions to complex global challenges.,

The Medical Data Quality Specialist is responsible for the testing phase and release validation in the Software Development Life Cycle (SDLC). You will work integrally with the Solution Development and Business teams to document application data critical test cases, conduct testing, and report test findings aimed at improving data quality. As a problem solver with strong analytical skills and attention to detail, you will implement and maintain a comprehensive testing framework to support the Solutions Development team and tailored specifically for medical data outputs. Your role will involve conducting functional testing, regression testing, data testing, and workflow testing. You will execute test scenarios manually, document and report test results accurately and in detail for the developers to address. You will need to understand business requirements and how they translate to application features, translating business requirements to test requirements. Effective communication with managers on progress and any complications that may arise is crucial. Additionally, you will support the AI teams by ensuring the quality and accuracy of AI-generated medical data, validating the accuracy and relevance of AI data summaries of medical records and medical data extractions. Providing detailed feedback and recommendations to improve AI data outputs will be part of your responsibilities. Participating in and driving continuous improvement initiatives to enhance the accuracy and reliability of medical data, as well as staying updated with the latest developments in AI and medical data standards, are also key aspects of this role. Requirements include a Bachelor's/Master's degree or diploma in Health Informatics, Nursing, Biomedical Engineering, Public Health, or MBBS, along with a minimum of 3 years of experience conducting medical record analysis or testing. Proven experience creating functional use cases or test cases based on business requirements, regression test cases, and user acceptance/workflow test cases is necessary. Knowledge and experience working with analysis tools like Excel and working with database systems like SQL Server Management Studio and MongoDB is a plus. This position offers Medical Insurance and an employee-friendly work culture.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. As a Senior Mobile Automation Tester, you will be working alongside the automation lead to develop, publish, and implement test plans. The main focus is to implement our test automation strategy to ensure clean shippable features, bug fixes, and applications at a rapid pace. Responsibilities Experience on testing mobile apps (Hybrid, Native and Web Apps). Ability to support development of automation framework, framework components and framework enhancements. Writing QA automation tests for mobile apps with tools such as, Appium, Espresso, XCUI Test, etc. Experience with/Understanding of CI/CD Pipeline - DevOps, Agile and Data Testing, Test data management, Test Environment Management, etc. Responsible for writing automation tests for mobile applications and backend services. Perform Test Case design, identify any opportunity for Test Automation and Perform automation. Running automation scripts to ensure delivery of the software product. Analyses of automation testing result and generate reports. Understand the Requirements (Business & Technical) for the Application developed for a specific Mobile device and its Operating platform. Work closely with the automation lead and Mobile Solution Engineering team to understand the specifics of the Application, Mobile device & operating platform on which the Application would run and due considerations. Responsible for communicating and resolving software defects. Measure and track quality assurance metrics across applications. Ensure Test readiness (Test Environment, Test Data, Tools Licenses etc). Execute Testing, Monitor and report the Progress. Liaise with Mobile Solution Engineering Team & other relevant team for Defect resolution. Create Test Report and Test Sign off documentation as per Process. People Responsibilities Contribute to people initiatives including recruiting, retaining and training. Should come up with innovative and smart ways of doing work, without compromising on quality. Understand and follow workplace policies and procedures. Requirements BE/BTech/MCA. Overall 3-6 years of hands on experience in Testing all types of Mobile Applications (Native, Hybrid, Mobile web) on handheld devices is a must. Experience automating test cases for both native iOS and Android applications using Appium and a cloud device farm. Experience working with Selenium WebDriver. Experience working with Expresso for Android automation. Experience working with XCUI Test for iOS automation. Good development and scripting skills with an object-oriented programming language such as Java, Kotlin, Swift, Python, or C#. Should be well versed with Jenkins, Git, XCode, any Cloud device. Unit testing with familiarity with test driven development. Experience working with Jenkins for continuous integration. Android and iOS testing experience. Strong experience on one platform over the other is acceptable. Understand backlog tracking, burndown metrics, velocity, and task definition. Familiarity with common Agile practices, service-oriented environments, and better development practices. Good background in automated testing tools and methodologies. Nice To Have Skills Exposure to Non-UI Testing like Web service testing, API testing, SOA testing. Experience in backend testing of SQL server is a plus. Responsive & adaptable to customer and project needs. Exposure to Global Projects and working with Clients at onsite is desirable. Exposure/ Experience in Non-Functional Testing (Performance & Load Testing, Infrastructure, Security Testing etc) would be an added advantage. Should be ready to travel based on the Project & Client needs. Knowledge of Mobile Application Management- control, security and compliance with respect to Mobile Application distribution & deployment is desirable. Understanding of Enterprise mobile infrastructure and cross platform development platforms like is desirable. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,