50 Bi Testing Jobs

For over 30 years, Beghou Consulting has been a trusted adviser to life science firms We combine our strategic consulting services with proprietary technology to develop custom, data-driven solutions that allow life sciences companies to take their commercial operations to new heights We are dedicated to client service and offer a full suite of consulting and technology services, all rooted in advanced analytics, to enhance commercial operations and boost sales performance, Purpose of Job We are seeking a highly experienced Software QA Manager to lead our Quality Assurance efforts across proprietary platforms and other enterprise-grade applications The ideal candidate will possess a strong background in automation, CRM, ETL, and BI testing, with a proven ability to build and lead high-performing QA teams, We'll trust you to: Leadership & Strategy Lead and mentor a team of QA engineers, fostering a culture of excellence, accountability, and continuous improvement, Provide career mentorship, performance guidance, and development opportunities to team members, Create awareness of QA offerings across the organization and act as a strong representative of QA in cross-functional discussions, Process Ownership & Execution Drive end-to-end ownership of QA processes and deliverables ? from requirement gathering through release validation, Design and implement robust QA frameworks, including test planning, test case development, execution, and reporting, Build and scale test automation frameworks using Selenium and performance tools like JMeter, LoadRunner, etc Oversee implementation of automation and continuous integration pipelines to accelerate release cycles without compromising on quality, Quality Operations Ensure QA processes effectively address scalability, performance, security, and data integrity aspects of cloud-based software, Work closely with DevOps teams to integrate quality into CI/CD workflows using agile ticket tracking and reporting tools, Champion the adoption of industry best practices and modern QA tools to improve speed, efficiency, and test coverage, Ensure the quality of client deliverables/implementations, Ensure compliance with GRC processes and provide support to internal and external audits, as needed, Metrics & Improvement Define and track key KPIs and quality metrics to provide visibility into test coverage, defect rates, release readiness, and overall product quality, Conduct root cause analysis on production issues and implement corrective/preventive actions to avoid recurrence, Utilize data-driven insights to continuously optimize testing strategies and processes, Cross-functional Collaboration Collaborate with product managers, software engineers, and operations teams throughout the software development lifecycle to embed quality from ideation to deployment, Participate actively in requirement gathering sessions, translating business needs into clear and testable acceptance criteria, Partner with release management teams to ensure thorough testing and validation of cloud-based releases, You'll need to have: Bachelors/Masters degree in Computer Science, Information Technology, or related field, 1215 years of QA experience with at least 5 years in a leadership role, Strong hands-on experience with Selenium, performance testing tools, and automation frameworks, Deep understanding of agile software development, DevOps tools, and ticket tracking systems ( e-g , JIRA, Azure DevOps), Proven experience in managing QA for cloud platforms and enterprise-scale applications, Strong analytical, problem-solving, communication, and interpersonal skills, Background in life sciences or healthcare software is a plus, Preferred familiarity with Beghou platforms: Mainsail?, Meridian?, ARMADA?, Good to have Certifications: ISTQB, Certified Scrum Master (CSM), or equivalent, What you should know: ? We treat our employees with respect and appreciation, not only for what they do but who they are, ? We value the many talents and abilities of our employees and promote a supportive, collaborative, and dynamic work environment that encourages both professional and personal growth, ? You will have the opportunity to work with and learn from all levels in the organization, allowing everyone to work together to develop, achieve, and succeed with every project, ? We have had steady growth throughout our history because the people we hire are committed not only to delivering quality results for our clients but also to becoming leaders in sales and marketing analytics, Show

Data Warehouse, BI Testing Experience (Years): 4-6 Essential Skills: Must have 3-7 years of experience in data warehouse and etl testing, preferable with ETL tool - Must be proficient in writing sql queries - Good to have knowledge of Agile methodology, SCRUM, Jira, confluenceGood testing and analytical skillGood writing and communication skillsGood understanding and experience in projectsProficient in SQL QueriesProficient in ETL TestingMinimum 8 years of test experience is preferable

Role & responsibilities 5+ Years of Extensive Experience working with multiple Databases, ETL and BI testing Working experience in Investment Management and Capital Markets Domain with is preferred Experience working in the applications like Eagle, Calypso, Murex will be added advantage Experience in delivering large releases to the customer through direct and partner teams. Experience in testing data validation scenarios and Data ingestion, pipelines, and transformation processes. Experience in Vertica, DataStage, Teradata, and Big Data environments for both data Ingestion and Consumption. Extensive knowledge on any Business Intelligence tool, Preferably MicroStrategy and Tableau. Extensive experience in writing and troubleshooting complex SQL Queries. Expert in providing QA solutions based on Data Warehousing and Dimensional Modelling design. Expert in drafting ETL Source to Target Mapping document design. Identify data validation tools that will suit the ETL project conditions. Ensure all sign offs on deliverables (overall test strategy, test plan, test cases and test results) and that testing meets governance requirements. Establishing and driving Automation Capabilities. Collaborating with dev & architect teams to identify and prioritize opportunities for automation. Experience in ETL automation with open-source tools, Service Virtualization, CI/CD.

Roles and Responsibilities : Design, develop, and execute comprehensive ETL tests to ensure data integrity and quality. Collaborate with cross-functional teams to identify requirements and create test plans for DWH (Data Warehouse) testing. Develop automated scripts using Informatica PowerCenter to streamline the ETL process. Analyze results, identify defects, and provide recommendations for improvement. Job Requirements : 5-9 years of experience in ETL testing with expertise in Bi Testing, Data Testing, DWH Testing, and Informatica Testing. Strong understanding of SQL queries and ability to write complex queries for data validation. Experience with automation tools such as Automic or similar technologies is an added advantage.

Key Responsibilities Understand business requirements and translate them into test scenarios. Perform data validation , ETL testing , report testing , and dashboard validations . Validate data transformation, aggregation, and loading into the data warehouse or data marts. Develop and execute test cases , SQL queries , and automation scripts as needed. Validate source to target data mapping, field-level validations, and data reconciliation. Identify, report, and track defects to closure. Collaborate with BI developers and data engineers to resolve issues and ensure data quality. Document test results, defects, and QA artifacts. Required Skills 3+ years of experience in BI/ETL testing or Data Warehouse testing . Strong SQL skills for writing complex queries to validate data. Hands-on experience with ETL tools (e.g., Informatica, Talend, SSIS). Experience with BI reporting tools like Power BI , Tableau , or QlikView . Familiarity with data modeling concepts and star/snowflake schemas. Experience in testing data pipelines, dashboards, and reports. Exposure to test management tools like JIRA , HP ALM , or TestRail .

You should have at least 5+ years of Quality Assurance experience, along with a minimum of 4+ years of ETL Processes/Data Warehouse Testing experience. Additionally, a minimum of 1+ years of experience in Python (Pandas) is required. Your role will involve hands-on experience in ORACLE database technologies, including writing complex ORACLE SQL and PL/SQL scripts for data validation and backend Data warehouse testing. Experience in ETL Processes (Data Warehouse Testing) and BI testing (QlikView, Cognos, etc.) will be essential, and you should be proficient enough to Analyze Source Systems, Staging area, Fact, and Dimension tables in Target D/W. Moreover, familiarity with No-SQL DB is a plus, and you should be proficient in defect tracking/Quality assurance tools such as ALM, JIRA, with knowledge of qTest being an advantage. Strong technical skills, good time management, and the ability to work both in a team and individually are key requirements. You should also have experience with QA processes and deliverables in an Agile/SCRUM environment, as well as strong verbal and written communication skills to effectively communicate with varying audiences. Proficiency in MS Office (Word, Excel, Outlook, PowerPoint) and prior experience in the financial domain would be beneficial. Furthermore, you should be well-versed with all stages of the Software Development Life Cycle (SDLC) and Software Testing Life Cycle (STLC). Your roles and responsibilities will include reviewing requirements and specifications, defining test conditions, designing test cases and test scripts, providing estimates for testing activities, and preparing Test Strategy, Test Plan, Detailed Test Cases, and writing Test Scripts. You will be responsible for performing backend (database) testing using complex SQL queries in Oracle, completing regression and integration testing, analyzing test results, logging defects in JIRA, and collaborating with project team members on issue resolution and re-testing. You will also be required to analyze and report test activities and results, as well as document, maintain, track, and report test status using tools such as ALM, JIRA, or qTest.,

8+ Years of Extensive Experience working with multiple Databases, ETL and BI testing Working experience in Investment Management and Capital Markets Domain with is preferred Experience working in the applications like Eagle, Calypso, Murex will be added advantage Experience in delivering large releases to the customer through direct and partner teams. Experience in testing data validation scenarios and Data ingestion, pipelines, and transformation processes. Problem-solving skills and the ability to analyze quantitatively, scope business requirements and effectively prioritize program deliverables. Experience in Vertica, DataStage, Teradata, and Big Data environments for both data Ingestion and Consumption. Extensive knowledge on any Business Intelligence tool, Preferably MicroStrategy and Tableau. Extensive experience in writing and troubleshooting complex SQL Queries. Identify defect leakages and Implement QA process to overcome it. Train and develop data testing skills to the team. Expert in providing QA solutions based on Data Warehousing and Dimensional Modelling design. Expert in drafting ETL Source to Target Mapping document design. Identify data validation tools that will suit the ETL project conditions. Ensure all sign offs on deliverables (overall test strategy, test plan, test cases and test results) and that testing meets governance requirements. Establishing and driving Automation Capabilities. Collaborating with dev & architect teams to identify and prioritize opportunities for automation. Experience in ETL automation with open-source tools, Service Virtualization, CI/CD. Coordinate with Project Managers and Scrum Masters to know the roadmap and resource allocation. Coordinate with QA and Dev team to fill the gaps/challenges, if any. Coordinate with US counterpart (QA, Dev leads) to give or take inputs in process/project improvements.

5-8 years of experience in Data Testing using SQL Knowledge of Python is a plus Domain expertise in Risk and Finance IT

Role Purpose The purpose of the role is to support process delivery by ensuring daily performance of the Production Specialists, resolve technical escalations and develop technical capability within the Production Specialists. Do Oversee and support process by reviewing daily transactions on performance parameters Review performance dashboard and the scores for the team Support the team in improving performance parameters by providing technical support and process guidance Record, track, and document all queries received, problem-solving steps taken and total successful and unsuccessful resolutions Ensure standard processes and procedures are followed to resolve all client queries Resolve client queries as per the SLAs defined in the contract Develop understanding of process/ product for the team members to facilitate better client interaction and troubleshooting Document and analyze call logs to spot most occurring trends to prevent future problems Identify red flags and escalate serious client issues to Team leader in cases of untimely resolution Ensure all product information and disclosures are given to clients before and after the call/email requests Avoids legal challenges by monitoring compliance with service agreements Handle technical escalations through effective diagnosis and troubleshooting of client queries Manage and resolve technical roadblocks/ escalations as per SLA and quality requirements If unable to resolve the issues, timely escalate the issues to TA & SES Provide product support and resolution to clients by performing a question diagnosis while guiding users through step-by-step solutions Troubleshoot all client queries in a user-friendly, courteous and professional manner Offer alternative solutions to clients (where appropriate) with the objective of retaining customers and clients business Organize ideas and effectively communicate oral messages appropriate to listeners and situations Follow up and make scheduled call backs to customers to record feedback and ensure compliance to contract SLAs Build people capability to ensure operational excellence and maintain superior customer service levels of the existing account/client Mentor and guide Production Specialists on improving technical knowledge Collate trainings to be conducted as triage to bridge the skill gaps identified through interviews with the Production Specialist Develop and conduct trainings (Triages) within products for production specialist as per target Inform client about the triages being conducted Undertake product trainings to stay current with product features, changes and updates Enroll in product specific and any other trainings per client requirements/recommendations Identify and document most common problems and recommend appropriate resolutions to the team Update job knowledge by participating in self learning opportunities and maintaining personal networks Mandatory Skills: Big Data Testing Experience: 5-8 Years

HCL Hiring for ETL Testing/Data and BI Testing role- Location-Bangalore/Chennai/Noida/Hyderabad Experience-6 to 10 Years Minimum 5 years of experience testing data transformations. (ETL testing) Minimum 3 years of experience testing reports (using tools like Cognos and Microstrategy). Strong SQL Knowledge and Understanding and Manual Testing and Create SQL queries to valid results against source data. Ability to work with a team to test reports, data loads and determine root causes of failures. Ability to create and execute a test plan, Good analytical Skill, Good Communication skills Property and Casualty- Insurance experience and Knowledge

Key Responsibilities Design and execute detailed test plans, test cases, and scripts for ETL workflows.Kaplan Community Career Center+4Expertia+4Virtusa+4 Validate data accuracy, completeness, consistency, and transformation logic from source to target.Virtusa Perform functional, integration, regression, and performance testing for ETL processes.Expertia+15Virtusa+15Virtusa+15 Identify, document, track, and retest defects; work with data engineers to resolve data-quality issues.Reddit+14Virtusa+14Kaplan Community Career Center+14 Analyze test results, conduct root-cause analysis, and communicate findings to stakeholders. Develop and maintain automation scripts or frameworks (using Python, Shell, or tool-specific languages) to streamline ETL testing.Reddit+15Expertia+15HRBLADE+15 Collaborate in Agile teams, participate in scrum events, and maintain test documentation and reports (e.g., in JIRA, Zephyr, ALM).Himalayas+2EY Careers+2HRBLADE+2 Required Qualifications & Skills Bachelors degree in Computer Science, IT, or similar. 2–8 years of experience in ETL/data integration testing, depending on level.Virtusa Strong proficiency in SQL for writing complex queries and data validation.Virtusa+4Expertia+4Virtusa+4 Experience with ETL tools such as Informatica, Talend, SSIS, DataStage, etc.Virtusa+6HRBLADE+6Himalayas+6 Working knowledge of data warehousing concepts: star/snowflake schemas, data modeling.Reddit+10Expertia+10Himalayas+10 Familiarity with scripting languages (Python, Shell) for automation.Expertia+1Himalayas+1 Experience with test management and defect-tracking tools (JIRA, ALM, Zephyr).EY Careers+1Himalayas+1 Analytical mindset, excellent attention to detail, and strong problem-solving skills.Virtusa+1Virtusa+1 Excellent verbal and written communication skills; ability to work with tech and business stakeholders. Experience in Agile development environments.HRBLADE

Fusion Plus Solutions Inc is looking for ETL, Power BI Professional to join our dynamic team and embark on a rewarding career journey. A Power BI Developer is responsible for designing, developing, and implementing business intelligence solutions using Microsoft Power BI. Key responsibilities include: 1. Gathering and analyzing data from multiple sources to create data models and visualizations. 2. Designing and implementing reports, dashboards, and interactive data visualizations. 3. Integrating Power BI with other tools and platforms, such as Microsoft Excel, SQL Server, and SharePoint. 4. Collaborating with stakeholders to understand their business requirements and provide appropriate BI solutions. 5. Performing data quality checks and ensuring data accuracy. 6. Maintaining and updating existing reports and dashboards. 7. Troubleshooting and resolving technical issues related to Power BI. 8. Staying current with the latest Power BI features and technologies, and making recommendations for improvements. Requirements for this role include a strong understanding of business intelligence, data warehousing, and data visualization concepts, as well as experience with Power BI, SQL Server, and other relevant technologies. Strong analytical, problem-solving, and communication skills are also essential.

8+ Years of Extensive Experience working with multiple Databases, ETL and BI testing Working experience in Investment Management and Capital Markets Domain with is preferred Experience working in the applications like Eagle, Calypso, Murex will be added advantage Experience in delivering large releases to the customer through direct and partner teams. Experience in testing data validation scenarios and Data ingestion, pipelines, and transformation processes. Problem-solving skills and the ability to analyze quantitatively, scope business requirements and effectively prioritize program deliverables. Experience in Vertica, DataStage, Teradata, and Big Data environments for both data Ingestion and Consumption. Extensive knowledge on any Business Intelligence tool, Preferably MicroStrategy and Tableau. Extensive experience in writing and troubleshooting complex SQL Queries. Identify defect leakages and Implement QA process to overcome it. Train and develop data testing skills to the team. Expert in providing QA solutions based on Data Warehousing and Dimensional Modelling design. Expert in drafting ETL Source to Target Mapping document design. Identify data validation tools that will suit the ETL project conditions. Ensure all sign offs on deliverables (overall test strategy, test plan, test cases and test results) and that testing meets governance requirements. Establishing and driving Automation Capabilities. Collaborating with dev & architect teams to identify and prioritize opportunities for automation. Experience in ETL automation with open-source tools, Service Virtualization, CI/CD. Coordinate with Project Managers and Scrum Masters to know the roadmap and resource allocation. Coordinate with QA and Dev team to fill the gaps/challenges, if any. Coordinate with US counterpart (QA, Dev leads) to give or take inputs in process/project improvements.

Role & responsibilities Expertise in writing ETL test scenarios, test cases, and test scripts. Experience and understanding of test life cycle , defect management life cycle etc. Ensure that test cases cover various ETL scenarios, including data extraction, transformation, and loading. Execution of ETL test cases and work closely with the QA Lead, development and data teams to resolve defects and inconsistencies. Develop and Execute SQL queries to validate data transformations and ensure data integrity. Implement and maintain data quality checks to monitor ETL process performance. Analyze the Source to Target Mapping Documents. Test ETL Mappings to extract data from multiple sources like SQL Server, Flat files, etc., into target tables using transformations. Ensure data accuracy, consistency, and compliance with regulatory requirements. Identify and report defects while working closely with QA Lead and development teams to ensure timely resolution. Perform root cause analysis for defects and implement preventive measures. Contribute to the identification and implementation of automation opportunities in ETL testing. Collaborate with automation engineers to script and execute automated test cases. Create automation test scripts to verify and validate the quality of the product. Execution and maintenance of the automation test scripts. Preferred candidate profile Bachelors degree in computer science, Information Technology, or a related field. Proven experience (2 to 5 years) in ETL testing, with a strong understanding of data integration concepts and methodologies. Strong SQL skills for querying and validating data. Understanding of relational databases and data warehouse concepts. Familiarity with data warehousing, data modeling, and data transformation concepts. Excellent communication and interpersonal skills. Problem-solving mindset and ability to troubleshoot complex issues. Experience with test automation tools and frameworks is a plus. Knowledge of scripting languages (e.g., Python, Shell) for test automation. Must have the ability to multi-task and adapt quickly to changes while maintaining urgency in completing assigned tasks. Should be detail oriented with analytical mindset. Have worked in Agile Environments.

Complex Data Testing Engineer/ Relational Data Testing Specialist/ Big Data Testing Engineer

Design, develop, and execute test plans and test cases for BI and reporting applications, ensuring data accuracy and integrity across large datasets. Collaborate with data engineers and analysts to create and validate test datasets used in data modeling and reporting solutions. Perform manual and automated testing of BI dashboards, analytics, KPIs, and visualizations to ensure correctness and performance. Conduct SQL-based data validation against Amazon Redshift and other data sources to ensure data consistency and accuracy. Role & responsibilities 3+ years of experience in QA testing with a focus on BI and data analytics platforms. Strong proficiency in SQL for building querying and validating large datasets, preferably in Amazon Redshift. Experience with BI tools such as Qlik, Power BI, or similar. Ability to work with data sets in an XML or JSON format Preferred candidate profile

Lead test planning & execution Ensure SDLC & testing compliance Analyze requirements & estimate effort Liaise with stakeholders & teams Track defects & test progress Drive end-to-end testing delivery Required Candidate profile Strong in ETL, SQL, Control-M Proficient in Agile/Waterfall, JIRA, Confluence Exp in DW, Informatica, Azure DevOps Skilled in automation, stakeholder mgmt, comms Onsite-offshore coordination

Job Overview: Responsible for validating data pipelines, ensuring data integrity, and verifying the performance and functionality of solutions built on the Microsoft Fabric platform. This includes testing data ingestion, transformation, and reporting components, particularly within environments like the Delta Lakehouse. Key Responsibilities: Design and execute test plans and test cases for Microsoft Fabric-based data solutions. Validate data flows from source systems to the Microsoft Fabric Delta Lakehouse. Perform data quality checks, reconciliation, and validation of large datasets. Collaborate with data engineers, architects, and BI developers to ensure end-to-end data accuracy. Automate testing processes using tools like Azure Data Factory, Power BI, and Fabric-native tools. Identify, document, and track defects and inconsistencies. Ensure compliance with data governance and security standards. Required Skills: Strong experience in data testing, preferably in cloud-based environments. Familiarity with Microsoft Fabric components (e.g., Data Factory, Synapse, Power BI, Delta Lakehouse). Proficiency in SQL for data validation and transformation testing. Experience with test automation frameworks and scripting. Understanding of ETL/ELT processes and data modelling concepts. Excellent analytical and problem-solving skills.

Role & responsibilities Role Summary As a Data QE at PalTech you will play an important role in designing and executing test strategies for end-to-end data validation, ensuring data completeness, accuracy, and integrity across ETL processes, data warehouses, and reports. You will automate data testing using Python, validate fact and dimension tables, large datasets, file ingestions, and data exports while ensuring adherence to data security standards, including encryption and authorization. Proficiency in SQL, Python, ETL/ELT tools, and reporting platforms like Power BI or Tableau is essential. The role requires strong analytical skills, collaboration with cross-functional teams, and the ability to enhance testing processes through automation and best practices. Key Responsibilities Create test strategies, test plans, business scenarios, data validation scripts for end-to-end data validation. Verify data completeness, accuracy, and integrity throughout the ETL processes and reports. Evaluate the performance of ETL jobs and ensure that they meet defined SLAs Automate the data testing process using Python or other technologies Experienced in validating various types of fact tables and dimension tables DWH skills are a must Should have expertise in validating larger datasets Should have experience working with relational databases Should have experience in validation of file ingestions and data exports Should be expert in validation of the data security standards implemented in the project Should be proficient in SQL, Python, validation of ETL/ELT tools Should be proficient in validation of reports and dashboards Should be proficient in writing complex scripts to validate business logics and KPIs Should be proficient in validating data encryption, anonymization, authorization processes Extensive experience in creating test data as and when needed based on the business requirements Should be able to identify and validate the corner business use cases Prepare comprehensive test documentation including test cases, test results, and test reports. Work closely with cross-functional teams including developers, business analysts, and data architects. Suggest enhancements and implement the best practices to improve testing processes. Required Skills and Qualifications Educational Background: Bachelors degree in computer science, Information Technology, or a related field. Technical Skills: Strong understanding of ETL processes, data warehousing concepts, and SQL. Should have strong Python skills Experience: 4 to 6 years of experience in ETL testing and reports validation. Experience in automation of data validation processes Tools: Familiarity with ETL tools like ADF, DBT, etc., and defect tracking systems like JIRA. Experience with any reporting tools like Power BI, Tableau, etc Soft Skills: Excellent communication, teamwork abilities, and strong analytical and problem-solving skills. Preferred candidate profile

Company Overview BOLD is an established and fast-growing product company that transforms work lives. Since 2005,weve helped more than 10,000,000 folks from all over America(and beyond!) reach higher and do better. A career at BOLD promises great challenges, opportunities, culture and the environment. With our headquarters in Puerto Rico and offices in San Francisco and India, were a global organization on a path to change the career industry Key Responsibilities •Work with Business Analysts, BI Developers to translate Business requirements into Test Cases •Responsible for validating the data sources, extraction of data, applying transformation logic, and loading the data in the target tables. •Designing, documenting and executing test plans, test harness, test scenarios/scripts & testcases for manual, automated & bug tracking tools. Required Skills •Experience in Data Warehousing / BI Testing, using any ETL and Reporting Tool •Extensive experience in writing and troubleshooting SQL Queries using any of the Databases Snowflake/ Redshift / SQL Server / Oracle •Exposure to Data Warehousing and Dimensional Modelling Concepts •Experience in understanding of ETL Source to Target Mapping Document •Experience in testing the code on any of the ETL Tools •Experience in Validating the Dashboards / Reports on any of the Reporting tools Sisense /Tableau / SAP Business Objects / MicroStrategy •Hands-on experience and strong understanding of Software Development Life Cycle (SDLC)and Software Testing Life Cycle (STLC). •Good experience of Quality Assurance methodologies like Waterfall, V-Model, Agile, Scrum. •Well versed with writing detailed test cases for functional & non-functional requirements. •Experience on different types of testing that includes Black Box testing, Smoke testing, Functional testing, System Integration testing, End-to-End Testing, Regression testing & User Acceptance testing (UAT) & Involved in Load Testing, Performance Testing & Stress Testing. •Expertise in using TFS / JIRA / Excel for writing the Test Cases and tracking the •Exposure in scripting languages like Python to create automated Test Scripts or Automated tools like Query Surge will be an added advantage •An effective communicator with strong analytical abilities combined with skills to plan, implement & presentation of projects

Stack Digital is looking for Quality Engineer-Data (ETL Tester) to join our dynamic team and embark on a rewarding career journey Developing and implementing quality standards. Developing and implementing quality control systems. Monitoring and analyzing quality performance. Inspecting and testing materials, equipment, processes, and products to ensure quality specifications are met. Collaborating with operations managers to develop and implement controls and improvements. Ensuring that workflows, processes, and products comply with safety regulations. Investigating and troubleshooting product or production issues. Developing corrective actions, solutions, and improvements. Reviewing codes, specifications, and processes.

Educational Bachelor of Engineering,BTech,BE,MTech,MCA,Master Of Technology,MSc Service Line Infosys Quality Engineering Responsibilities A day in the life of an Infoscion As part of the Infosys delivery team, your primary role would be to ensure effective Design, Development, Validation and Support activities, to assure that our clients are satisfied with the high levels of service in the technology domain. You will gather the requirements and specifications to understand the client requirements in a detailed manner and translate the same into system requirements. You will play a key role in the overall estimation of work requirements to provide the right information on project estimations to Technology Leads and Project Managers. You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Additional Responsibilities: Knowledge of design principles and fundamentals of architecture Understanding of performance engineering Knowledge of quality processes and estimation techniques Basic understanding of project domain Ability to translate functional / nonfunctional requirements to systems requirements Ability to design and code complex programs Ability to write test cases and scenarios based on the specifications Good understanding of SDLC and agile methodologies Awareness of latest technologies and trends Logical thinking and problem solving skills along with an ability to collaborate Technical and Professional : Primary skills:Technology-Data Services Testing-Data Warehouse Testing,Technology-ETL & Data Quality-ETL - Others Preferred Skills: Technology-ETL & Data Quality-ETL - Others

Educational Bachelor of Engineering,BTech,BSc,BCA,MTech,MSc,MCA Service Line Infosys Quality Engineering Responsibilities A day in the life of an Infoscion As part of the Infosys delivery team, your primary role would be to interface with the client for quality assurance, issue resolution and ensuring high customer satisfaction. You will understand requirements, create and review designs, validate the architecture and ensure high levels of service offerings to clients in the technology domain. You will participate in project estimation, provide inputs for solution delivery, conduct technical risk planning, perform code reviews and unit test plan reviews. You will lead and guide your teams towards developing optimized high quality code deliverables, continual knowledge management and adherence to the organizational guidelines and processes. You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Additional Responsibilities: Knowledge of more than one technology Basics of Architecture and Design fundamentals Knowledge of Testing tools Knowledge of agile methodologies Understanding of Project life cycle activities on development and maintenance projects Understanding of one or more Estimation methodologies, Knowledge of Quality processes Basics of business domain to understand the business requirements Analytical abilities, Strong Technical Skills, Good communication skills Good understanding of the technology and domain Ability to demonstrate a sound understanding of software quality assurance principles, SOLID design principles and modelling methods Awareness of latest technologies and trends Excellent problem solving, analytical and debugging skills Technical and Professional : Technology-Data Services Testing-Data Warehouse Testing, Technology-ETL & Data Quality-ETL Preferred Skills: Technology-ETL & Data Quality-ETL - Others Technology-Data Services Testing-Data Warehouse Testing

Experience 9-13 years Location: Gurgaon/Noida Education: BE/B. Tech./Master of Computer Application Work Experience: Overall 9+ years of quality engineering experience with DWH/ETL for enterprise grade applications Hands on experience with functional, non-functional and automation of products Hands on experience with leverage LLMs/GenAI for improving efficiency & effectiveness of overall delivery process Role & Responsibilities: Leading end-to-end QE for product suite Authoring QE test strategy for a release and executing it for a release Driving quality releases by closely working with development, PMs, DevOps, support and business teams Achieving automation coverage for product suite with good line coverage Manage risks and resolves issues that affect release scope, schedule and quality Work with product teams to understand impacts of branches and code merges, etc. Lead and co-ordinate the release activities including the execution of overall Ability to lead team of SDETs and help them in addressing their issues Mentoring and coaching members in the team Technical Skills: Experience in ETL / BI Testing, using any ETL and Reporting Tool with Oracle / SQL Server / as Database Exposure to Data Warehousing and Dimensional Modelling Concepts Hands-on with coding preferably Python Extensive experience in writing and troubleshooting SQL Queries Ability to achieve good functional coverage of product suite Hands on experience with automation tools (Selenium, TestNg, etc.) Experience with CI/CD tools e.g., Jenkins Experience with tools like JIRA, Confluence, SharePoint, TestRails, Zephyr etc. Experience with performance, volume and stress testing Solid understanding of cloud services platforms e.g., AWS, GCP, Azure etc. Well versed with DBs and SQLs Hand-on experience with GenAI/LLMs/RAGs/Agents Soft Skills: Excellent communication skills. Ability to convey hard/sensitive messages without any apprehensions as well as avoid creating frictions. Ability to navigate through organization independently. About AXTRIA (www.axtria.com) Axtria is a global provider of cloud software and data analytics to the Life Sciences industry. We help Life Sciences companies transform the product commercialization journey to drive sales growth and improve healthcare outcomes for patients. We are acutely aware that our work impacts millions of patients and lead passionately to improve their lives.

Looking for ETL/DB tester with 5+ years of experience. Should have strong SQL skills. Should have hands on coding knowledge in any scripting language. should be able to design and write SQL queries for data validation should be able to verify and test ETL processes understanding of Data warehousing concepts is a plus good communication skill and testing mindset