596 Etl Testing Jobs - Page 3

Educational Requirements Bachelor of Engineering Service Line Enterprise Package Application Services Responsibilities A day in the life of an Infoscion As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements. You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. 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: Ability to work with clients to identify business challenges and contribute to client deliverables by refining, analyzing, and structuring relevant data Awareness of latest technologies and trends Logical thinking and problem solving skills along with an ability to collaborate Ability to assess the current processes, identify improvement areas and suggest the technology solutions One or two industry domain knowledge Technical and Professional Requirements: 2+ years of SAP Commissions specialist experience. At least 1 end-to-end implementation experience in SAP Commissions with Oracle/HANA as a backend database. At least 2 years’ experience of AMS activities especially ticket handling. Configure compensation plans utilizing credits, measurements, incentives, and deposit rules in various use cases. Load reference, comp plan and transactions data on Commissions UI or from Dropbox. Expertise in comp elements like classifiers, lookup tables, rate tables, formulae etc. Execute pipelines and analyze results. Identify gaps in payments, find root causes, and fix issues to correct payments. Data integration setup on Commissions and associated SPM Home environment. Know and understand Commission DB tables. Experience in writing advanced SQL queries, and stage hooks. Awareness of Plan Communicator, dispute and dashboard setup. Awareness of concepts like proration, draws, clawbacks, leaves, periodic catchups, holds etc. Preferred Skills: Technology-SAP Technical-SAP C4HANA-SAP commissions

Location : Bangalore (WFO) Work mode : Bangalore Job description : " *Strong experience in QA/testing for data pipelines, ETL processes, and data validation *Familiarity with SQL and experience in querying large datasets for validation purposes *Experience with data warehousing and cloud-based data platforms (preferred AWS) *Good communication and problem-solving skills, with an attention to detail" "We are looking for a Data Pipeline Testing Engineer to join our dynamic team. As a key member of our QA team, you will be responsible for ensuring the accuracy, reliability, and performance of our data pipelines. This includes designing, executing, and maintaining test cases for ETL processes, data quality validation, and performance testing of data flows from source to destination. Key Responsibilities: *Design, implement, and execute manual and automated tests for data pipelines and ETL processes *Perform data validation and ensure data quality across all layers of the pipeline (Bronze, Silver, Gold) *Collaborate with data engineers and developers to understand pipeline architecture and contribute to test planning *Perform performance testing and identify bottlenecks in the data pipeline *Monitor and analyse test results, identify defects, and ensure timely issue resolution *Develop and maintain test documentation including test cases, plans, and bug reports *Participate in agile sprints and work closely with cross-functional teams to support project deadlines Required Skills and Qualifications: *Strong experience in QA/testing for data pipelines, ETL processes, and data validation *Familiarity with SQL and experience in querying large datasets for validation purposes *Experience with data warehousing and cloud-based data platforms (preferred AWS) *Good communication and problem-solving skills, with an attention to detail Preferred Qualifications: *Proficient in SQL scripting and Apache spark *Knowledge of Python, or other scripting languages for automating tests *Familiarity with Agile/Scrum methodologies *Experience with CI/CD and automation tools (e.g., Jenkins, Git)"

we are hiring for SQL Data Tester Location: India (Remote) overlap 3-5 hours with CST time zone. Skill Priority: SQL testing, ETL, SSIS, and CICD experience "Nice to Haves": tSQLt, ADF, and SQL Linting experience Position Overview We are seeking a detail-oriented and highly skilled SQL Tester to join our Data & Analytics team. In this role, you will be responsible for Design and develop automated SQL test cases to validate data transformations and data quality. Validating data integrity, accuracy, and performance across our ETL pipelines and data platforms. You will work closely with data engineers, QA analysts, and DevOps teams to ensure high-quality data delivery in a CI/CD environment. Key Responsibilities Design and develop automated SQL test cases to validate data transformations and data quality. Perform end-to-end testing of ETL processes, primarily using SSIS and other Microsoft BI tools. Collaborate with developers and analysts to understand data requirements and ensure test coverage. Integrate testing into CI/CD pipelines to support continuous delivery and deployment. Identify, document, and track defects and inconsistencies in data. Contribute to test automation strategies and reusable SQL test frameworks. Required Skills & Qualifications Strong experience in Automated SQL testing with a focus on data validation and transformation logic. Proficiency in ETL testing, particularly with SSIS. Experience working in CI/CD environments and integrating tests into automated pipelines. Solid understanding of relational databases and data warehousing concepts. Excellent analytical and problem-solving skills. Nice to Have Experience with tSQLt for unit testing SQL Server code. Familiarity with Azure Data Factory (ADF) and cloud-based data integration. Knowledge of SQL linting tools and best practices for SQL code quality. Exposure to Agile/Scrum methodologies.

Roles and Responsibilities Design, develop, and maintain automation frameworks using PyUnit, PyTest, and Selenium for web applications. Collaborate with cross-functional teams to identify requirements and implement ETL processes for data integration. Develop REST API integrations using Python programming language and perform testing using Pytest framework. Troubleshoot issues related to automation scripts and provide solutions to resolve them efficiently. Desired Candidate Profile 4-8 years of experience in IT services & consulting industry with expertise in analytics domain. Strong knowledge of SQL queries and ability to write complex queries for database interactions. Proficiency in developing automated tests using Pytest framework for API integrations.

currently we do have openings for the below roles: SDET ETL Testing Java BED & Spring Boot Java FSD .Net FSD Kindly share Resumes to afreen.banu@in.experis.com Note : Mention The skill you are applying for & Share Alternate Mail Id's & contact details FIRST ROUND WILL BE FACE TO FACE

Looking for Test Engineers with 5+ years of experience in ETL/Big Data along with Python / PyTest, any cloud (AWS/Azure. Spot Offer on Table. Salary is not a bar for suitable candidate. Interested candidate, please share CV to saranya@desicrew.in

We are seeking a talented and detail-oriented Data Engineering and Testing Specialist to join our dynamic team. In this role, you will utilize your expertise in data engineering, BI reporting, ETL processes.

QA Lead - Automation & Strategy We are looking for a strategic and hands-on QA Lead who brings a balance of strong technical automation capabilities and leadership excellence. This role is ideal for someone who can define QA vision, influence quality culture across teams, and implement robust test strategies for modern, cloud-based systems. The ideal candidate will own quality outcomes, collaborate across teams, and lead the charge on both functional and non-functional validation. Job Responsibilities: Lead and mentor QA engineers across automation, manual testing areas. Define, drive, and continuously improve automation strategy across multiple projects. Review and approve test strategies, test plans, and test cases. Own test governance including traceability, risk management, and release sign-off. Collaborate closely with business, product, development, and DevOps teams to ensure quality from requirements to release. Proactively identify quality gaps and implement preventive measures. Contribute to and review automation architecture and frameworks (Selenium, Playwright, Python, Java). Drive automation-first mindset and integrate automated tests into CI/CD pipelines. Provide estimations, effort planning, and resource allocation for QA deliverables. Drive root cause analysis for defects and production incidents; implement corrective and preventive actions. Ensure test coverage for backend validations using SQL and ETL checks. Oversee cloud-based testing strategies for applications hosted on Azure, AWS, or GCP. Ensure adherence to Agile best practices and continuously optimize QA processes. . Required Skills: 10-12 years of overall experience in Quality Assurance, with at least 3 years in a QA Lead role. Intermediate-level proficiency in Python for scripting and automation purposes. Strong hands-on experience in test automation using tools like Selenium, Playwright, or equivalent frameworks. Demonstrated leadership and decision-making skills in fast-paced, agile environments. Excellent communication and stakeholder engagement abilities across cross-functional teams. Deep expertise ETL, Web Application testing. Practical experience working with cloud platforms such as Azure, AWS, or GCP. Excellent analytical and problem-solving skills, with the ability to understand complex data relationships. Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and present technical concepts to non-technical stakeholders. Ideal Background Experience working in data-driven environments (ETL, DWH, Cloud Data Pipelines). ABOUT US: OUR WORKPLACE IS FUN AND FAST-PACED : We are Cervello. We believe in the power of connected data. We are laser focused on helping organizations harness the interconnectedness of digital, data and decision-making. We are problem solvers and builders focused on helping our clients win with data. Our culture is cool and innovative. Our environment is casual and conducive to collaboration and problem solving.We take our work seriously but not ourselves.Its the perfect balance of freedom and accountability. If you want to be part of something great join us! Equal Employment Opportunity and Nondiscrimination Cervello prides itself on providing a culture that allows employees to bring their best selves to work every day. Our people can feel comfortable, confident, and joyful to do great things for our firm, our teams, and our clients. Cervello aims to build diverse capabilities to help our clients solve their most mission critical problems. Cervello is committed to building a diverse, unbiased, and inclusive workforce. Cervello is an equal opportunity employer; we recruit, hire, train, promote, develop, and provide other conditions of employment without regard to a persons gender identity or expression, sexual orientation, race, religion, age, national origin, disability, marital status, pregnancy status, veteran status, genetic information, or any other differences consistent with applicable laws. This includes providing reasonable accommodation for disabilities, or religious beliefs and practices. Members of communities historically underrepresented in analytics and consulting are encouraged to apply. Revised 23/7/2025

Job Title: SAS Migration Test Engineer Location: [Insert Location] Experience: [Insert Years of Experience, e.g., 4+ Years] Employment Type: [Full-Time/Contract] Job Description: We are seeking a highly skilled SAS Migration Test Engineer to support our migration initiatives from SAS to Viya and Snowflake. The ideal candidate will be responsible for creating and executing test plans with a strong emphasis on data validation, automation, and code compliance. Key Responsibilities: Design and implement unit, system, and integration tests for SAS migration projects. Validate data transformation and integrity during migration to SAS Viya and Snowflake. Automate testing workflows using test automation tools. Ensure compliance with code quality and best practices. Collaborate with development, DevOps, and data engineering teams to streamline CI/CD processes. Perform root cause analysis and report defects with clarity and traceability. Must-Have Skills: Strong hands-on experience in SAS programming and SQL Experience with test automation tools (e.g., Selenium, JUnit, etc.) Solid understanding of data validation and ETL testing Good-to-Have Skills: Experience with Talend , IBM Data Replicator , or Qlik Replicate Exposure to Snowflake , SAS Viya , and cloud platforms (AWS, Azure, GCP) Familiarity with CI/CD pipelines , SonarQube , and automated code quality checks Preferred Qualifications: Bachelor's degree in Computer Science, Information Technology, or related field Prior experience in data migration or modernization projects Strong analytical and problem-solving skills Excellent communication and teamwork abilities

We're hiring ETL Test Engineers with 5–10 years of experience in end-to-end ETL Pipeline validation. Must have strong skills in Selenium with Java, API Testing, and SQL. Proven ability to ensure data integrity, automation efficiency.

Project Role : Quality Engineer (Tester) Project Role Description : Enables full stack solutions through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. Performs continuous testing for security, API, and regression suite. Creates automation strategy, automated scripts and supports data and environment configuration. Participates in code reviews, monitors, and reports defects to support continuous improvement activities for the end-to-end testing process. Must have skills : Data Warehouse ETL Testing Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time educationKey responsibilities:Perform QA for 'data build tool' code/loadsDevelop and execute test plans, test cases, and test scripts to ensure quality deliverablesIdentify, document, and track software defects to resolutionProvide feedback on usability and functionality.Conduct functional, regression, and performance testing. Technical Experience:Technical Skills: - Must To Have Skills: Proficiency in Data Warehouse ETL Testing and writing complex SQL.- Good To Have Skills: Experience with Data Building Tool, Functional Test Planning, Oracle Procedural Language Extensions to SQL (PLSQL).- Strong understanding of ETL/ELT processes and data warehouse concepts.- Experience in testing tools and methodologies.- Knowledge of SQL queries and database testing.- Ability to analyze and interpret complex data sets.- Must have experience working in agile teams Professional Attributes:Good communication skills Educational Qualification:Bachelor of engineering or equivalent degree Qualification 15 years full time education

Project Role : Quality Engineer (Tester) Project Role Description : Enables full stack solutions through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. Performs continuous testing for security, API, and regression suite. Creates automation strategy, automated scripts and supports data and environment configuration. Participates in code reviews, monitors, and reports defects to support continuous improvement activities for the end-to-end testing process. Must have skills : Data Warehouse ETL Testing Good to have skills : Functional Test Planning, Oracle Procedural Language Extensions to SQL (PLSQL)Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time educationKey responsibilities:Perform QA for 'data build tool (dbt)' code/loadsDevelop and execute test plans, test cases, and test scripts to ensure quality deliverablesIdentify, document, and track software defects to resolutionProvide feedback on usability and functionality.Conduct functional, regression, and performance testing. Technical Experience:Technical Skills: - Must To Have Skills: Proficiency in Data Warehouse ETL Testing and writing complex SQL.- Good To Have Skills: Experience with Data Building Tool, Functional Test Planning, Oracle Procedural Language Extensions to SQL (PLSQL).- Strong understanding of ETL/ELT processes and data warehouse concepts.- Experience in testing tools and methodologies.- Knowledge of SQL queries and database testing.- Ability to analyze and interpret complex data sets.- Must have experience working in agile teams Professional Attributes:Good communication skills Educational Qualification:Bachelor of engineering or equivalent degree Qualification 15 years full time education

Project Role : Application Designer Project Role Description : Assist in defining requirements and designing applications to meet business process and application requirements. Must have skills : SAP BW/4HANA Data Modeling & Development Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Designer, you will assist in defining requirements and designing applications to meet business process and application requirements. A typical day involves collaborating with cross-functional teams to gather insights, analyzing user needs, and translating them into functional specifications. You will engage in discussions to refine application designs and ensure alignment with business objectives, while also participating in testing and validation processes to guarantee that the applications meet the defined requirements effectively. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Facilitate workshops to gather requirements and feedback from stakeholders.- Develop and maintain comprehensive documentation for application designs and processes. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP BW/4HANA Data Modeling & Development.- Strong understanding of data warehousing concepts and best practices.- Experience with ETL processes and data integration techniques.- Familiarity with reporting tools and data visualization techniques.- Ability to troubleshoot and optimize data models for performance. Additional Information:- The candidate should have minimum 3 years of experience in SAP BW/4HANA Data Modeling & Development.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Snowflake Data Warehouse Good to have skills : Amazon Web Services (AWS), Data Warehouse ETL Testing, Oracle Procedural Language Extensions to SQL (PLSQL)Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Mentor junior professionals in best practices for data engineering.- Continuously evaluate and improve data processes to enhance efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse.- Good To Have Skills: Experience with Oracle Procedural Language Extensions to SQL (PLSQL), Amazon Web Services (AWS), Data Warehouse ETL Testing.- Strong understanding of data modeling and database design principles.- Experience with data integration tools and techniques.- Familiarity with data governance and data quality frameworks. Additional Information:- The candidate should have minimum 12 years of experience in Snowflake Data Warehouse.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Snowflake Data Warehouse Good to have skills : Amazon Web Services (AWS), Data Warehouse ETL Testing, Oracle Procedural Language Extensions to SQL (PLSQL)Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and provide innovative solutions to enhance data accessibility and usability. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in data engineering.- Continuously evaluate and improve data processes to optimize performance and efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse.- Good To Have Skills: Experience with Oracle Procedural Language Extensions to SQL (PLSQL), Amazon Web Services (AWS), Data Warehouse ETL Testing.- Strong understanding of data modeling and database design principles.- Experience with data integration tools and techniques.- Proficient in writing complex SQL queries for data manipulation and analysis. Additional Information:- The candidate should have minimum 7.5 years of experience in Snowflake Data Warehouse.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Experience:- 5+ Years. Location:- Bengaluru. Candidates Preffered:- Immediate, Serving Notice Period, 30 days. Role:- Big Data QA We are looking for a skilled ETL Tester with proven experience in designing developing and validating data solutions. PRINCIPAL ACCOUNTABILITIES • Developing test scenarios and test cases from requirements and design specifications and execute the test suites. • Perform System integration testing • Working in agile teams along with Testing, your contributions could be code review, requirements/user stories grooming, or coding where it is reasonable. • Provide Inputs and works on automation, Integration, and regression testing. • Interact with stakeholders, participate in scrum meetings and provide status on daily basis. KNOWLEDGE AND EXPERIENCE • 5 to 8 years relevant work experience in software testing primarily on Database /ETL and exposure towards Big Data Testing • Hands on experience in Testing Big Data Application on: Azure , Cloudera • Understanding of more query languages: Pig, HiveQL, etc. • Excellent skills in writing SQL queries and good knowledge on database [Oracle/ Netezza/SQL ] • Handson on any one scripting languages: Java/Scala/Python etc. • Good to have experience in Unix shell scripting • Experience in Agile development, knowledge on using Jira • Good analytical skills and communications skills. • Prior Health Care industry experience is a plus. • Flexible to work / Adopt quickly with different technologies and tools Experience working in cross-functional teams and collaborating effectively with various stakeholders. Excellent analytical, problem-solving, and communication skills to present and document technical concepts clearly. Bachelors or Masters degree in Computer Science, Data Engineering, or a related field. Interested candidates share your updated resume to the below mentioned Mail ID Mail ID:- arshitha.n@rlabsglobal.com

Project Role : Quality Engineer (Tester) Project Role Description : Enables full stack solutions through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. Performs continuous testing for security, API, and regression suite. Creates automation strategy, automated scripts and supports data and environment configuration. Participates in code reviews, monitors, and reports defects to support continuous improvement activities for the end-to-end testing process. Must have skills : Data Warehouse ETL Testing Good to have skills : Oracle Procedural Language Extensions to SQL (PLSQL)Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Quality Engineer, you will enable full stack solutions through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. Your typical day will involve performing continuous testing for security, API, and regression suites, creating automation strategies, and supporting data and environment configuration. You will also participate in code reviews, monitor, and report defects, contributing to continuous improvement activities for the end-to-end testing process. Your role will be pivotal in ensuring that the quality standards are met throughout the development lifecycle, collaborating closely with various teams to achieve optimal results. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the development and execution of test plans and test cases to ensure comprehensive coverage.- Collaborate with cross-functional teams to identify and resolve quality issues in a timely manner. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Warehouse ETL Testing.- Good To Have Skills: Experience with Oracle Procedural Language Extensions to SQL (PLSQL).- Strong understanding of data integration processes and methodologies.- Experience with automated testing tools and frameworks.- Familiarity with performance testing and monitoring tools. Additional Information:- The candidate should have minimum 3 years of experience in Data Warehouse ETL Testing.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Must Have Experience in ETL Testing Must Have Experience in DWH Testing Must Have Experience in IFORMATICA Must Have Experience in Banking Domain Strong SQL skills to perform database queries, data validations, and data integrity checks. Familiarity with relational databases and data management concepts. Working experience with cloud-based data warehouse platforms like Snowflake and Azure. Experience in creating and implementing ETL testing strategy Experience in data integrity, data accuracy and completeness testing

ETL Tester,ETL/Data Migration Testing,AWS to GCP data migration, PostgreSQL, AlloyDB, Presto, BigQuery, S3, and GCS,Python for test automation,data warehousing and cloud-native tools,PostgreSQL to AlloyDB,Presto to BigQuery,S3 to Google Cloud Storage

Technical and Professional Requirements: Experienced data testing profile with: SQL, ETL, Data layer validations, Microservices (API), Python / Java automation. Good to have: Master Data Management (MDM), Cloud (Azure/AWS/GCP) Data Testing. Good communication and stakeholder management. Must Skills: Data Services Testing->Data Warehouse Testing->ETL tool Education: BE/B.Tech/MCA/M.Tech/MSc./MCA

Role & responsibilities 1 strong experience in ETL Testing

Data Tester Job Description: We are looking for a skilled Data Tester to validate data accuracy and integrity across data warehouses, data integrations, and the curated business-ready layer. Key Responsibilities: • Test the data warehouse and ensure accurate data integration across various data sources. • Validate the Business-Ready dataset (BRD) , ensuring data is curated correctly for business use. • Develop and execute test cases to ensure data consistency and integrity in ETL/ELT processes. • Test data models and verify that data flows seamlessly through the data warehouse to the analytical layer. • Perform end-to-end testing for data integrations, ensuring compliance with business rules and transformation logic. • Collaborate with data engineers and business analysts to define testing strategies and resolve defects. • Conduct performance testing to ensure the scalability and efficiency of data pipelines. • Automate data validation and regression tests using relevant tools and frameworks. • Document and report test results, ensuring transparency and accountability. Required Skills: • Strong experience in data warehouse testing , validating ETL/ELT pipelines and data models. • Hands-on experience with testing tools and frameworks for data quality and integration. • Knowledge of SQL for querying and validating data in GBQ or other cloud-based platforms. • Strong attention to detail and analytical skills for identifying and resolving data issues. • Excellent collaboration skills to work with data engineers, analysts, and business teams. Preferred Skills: • Familiarity with Airflow for pipeline orchestration and Python for automating test cases. • Experience with metadata management and data governance processes. • Any other automation tools

Educational Bachelor of Engineering,BSc,BCA,MCA,MTech,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-ETL & Data Quality-ETL - Others Preferred Skills: Technology-ETL & Data Quality-ETL - Others

We are looking for a skilled ETL Tester with hands-on experience in SQL and Python to join our Quality Engineering team. The ideal candidate will be responsible for validating data pipelines, ensuring data quality, and supporting the end-to-end ETL testing lifecycle in a fast-paced environment. Design, develop, and execute test cases for ETL workflows and data pipelines. Perform data validation and reconciliation using advanced SQL queries. Use Python for automation of test scripts, data comparison, and validation tasks. Work closely with Data Engineers and Business Analysts to understand data transformations and business logic. Perform root cause analysis of data discrepancies and report defects in a timely manner. Validate data across source systems, staging, and target data stores (e.g., Data Lakes, Data Warehouses). Participate in Agile ceremonies, including sprint planning and daily stand-ups. Maintain test documentation including test plans, test cases, and test results. Required qualifications to be successful in this role: 5+ years of experience in ETL/Data Warehouse testing. Strong proficiency in SQL (joins, aggregations, window functions, etc.). Experience in Python scripting for test automation and data validation. Hands-on experience with tools like Informatica, Talend, Apache NiFi, or similar ETL tools. Understanding of data models, data marts, and star/snowflake schemas. Familiarity with test management and bug tracking tools (e.g., JIRA, HP ALM). Strong analytical, debugging, and problem-solving skills. Good to Have: Exposure to Big Data technologies (e.g., Hadoop, Hive, Spark). Experience with Cloud platforms (e.g., AWS, Azure, GCP) and related data services. Knowledge of CI/CD tools and automated data testing frameworks. Experience working in Agile/Scrum teams. Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect, and belonging. Here, you'll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our teamone of the largest IT and business consulting services firms in the world.,

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.