41 Informatica Testing Jobs

Role & responsibilities Develop, support, deploy and/or test basic technology solutions of limited scale. Understand the software requirements and ensure its translated into good quality production - ready code basis provided design & instructions. Understand the defined scope and timelines and deliver quality deliverable within the estimated time. Preferred candidate profile 3-5 Years experience in ETL testing. Good with writing complex SQLs. Experience on TOSCA automation tool is plus. Scripting knowledge / Python Knowledge is a plus Agile Experience is a must Good Reasoning and analytical skills Working Knowledge on Test Case and Defect Management Tools - JIRA, Quality Center or equivalent

Below is the JD. We are seeking a highly skilled ETL Data Tester with strong experience in ETL testing, Data Warehousing, and automation using Python . The ideal candidate should also have hands-on expertise in Cloud Data platforms (AWS/Azure) with exposure to Glue, Redshift, Synapse, or equivalent technologies . This role involves validating end-to-end data pipelines, ensuring data accuracy, quality, and performance across complex ETL processes. Key Responsibilities Perform ETL testing for data pipelines, staging, transformation, and target tables. Validate data extraction, transformation, and loading processes from multiple sources to Data Warehouse. Conduct data quality checks, reconciliation, and validation between source and target systems. Develop automation scripts using Python for data validation and regression testing. Work with AWS Glue, Redshift (or Azure Synapse/ADF) to test and validate cloud data pipelines. Analyze and debug ETL jobs, identify root causes of failures, and validate performance. Collaborate with Data Engineers, Developers, and Business Analysts to understand data mapping and transformation logic. Write SQL queries for data validation, profiling, and reconciliation. Contribute to test strategy, test planning, and reporting for data migration and transformation projects. Support CI/CD pipeline integration for automated data quality testing. Required Skills & Experience 4 + years of experience in ETL Testing & Data Warehouse Testing . Strong expertise in SQL (complex queries, joins, aggregations, validations) . Proficiency in Python scripting for test automation, data parsing, and validation. Hands-on experience in AWS services (Glue, Redshift, S3, Lambda, Athena) or Azure (Data Factory, Synapse, Databricks) . Experience in Data Lake, Data Warehousing concepts, and Big Data testing . Strong knowledge of ETL tools (Informatica, Talend, Glue, ADF, etc.) . Familiarity with CI/CD pipelines (Jenkins, Git, etc.) for test automation integration. Knowledge of Agile/Scrum methodologies and experience working in data-centric projects. Good to Have Exposure to PySpark or Pandas for data validation. Experience in performance testing of ETL jobs. Knowledge of data governance and data quality frameworks . Cloud certification in AWS/Azure/GCP . Education Bachelors/masters degree in computer science , Information Technology, or related field .

We are hiring for ETL Professional for our client Place in Bangalore/Chennai/Hyderabad/Pune. Please find the below details Experience: 4 to 12 yrs Work location: Bangalore/Chennai/Hyderabad/Pune. Type: working Under Nityo Payroll Work Type: WFO Skills strong DS testing . ETL tester with the combination of Python/sql/Selenium Should be available for F2F interview in client place. Notice period immediate to 30 days If you are interested, Please share your update profile to vidhya.b@nityo.com/ jagadeesh@nityo.com or reach me @ 8925740451 (Jagadeesh) to know more details about the requirement and client. Thanks & Regards, Vidhya B Phone: +91 9384850049 |Mobile: +91 8056239878| www.nityo.com https://www.linkedin.com/in/vidhya-bhaskaran-1720835/

Job Description We are looking for a skilled and motivated Database Tester with a strong background in Quality Assurance to join our dynamic team. The ideal candidate will bring a deep understanding of QA practices, data testing, and automation, with a passion for continuous learning, especially in the evolving field of AI-driven testing. Experience with data-centric projects and team management is essential for this role. Key Responsibilities Demonstrate strong expertise in Quality Assurance processes, methodologies, and best practices. Perform comprehensive testing across data layers , user interfaces , and automated testing frameworks . Execute test cases for data validation , ETL pipelines , and database integrity . Collaborate with cross-functional teams on projects involving Big Data , Azure DBT , and MSBI . Stay up-to-date and show enthusiasm to learn and implement AI-driven testing tools (e.g., Vibe Coding, Cursor). Design, develop, and maintain test automation scripts for scalable and efficient testing processes. Lead and mentor junior QA team members, manage test deliverables, and oversee the QA lifecycle. Report defects clearly and work closely with developers and analysts for timely resolution. Contribute to continuous improvement initiatives in test strategy, tools, and processes. Required Skills and Qualifications Proven experience in database testing and ETL validation . Proficiency in SQL , test automation tools , and data testing frameworks . Good understanding of UI testing and test case design . Familiarity with Big Data technologies , Azure-based tools , and MSBI components . Experience in team coordination or management within QA teams. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Willingness to adapt and learn new tools and technologies, particularly in the AI-driven testing landscape .

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.

Senior Data Test Analyst - Informatica Location : Bangalore Job Type : Full-Time, Onsite Apply at : hr@data-prowess.com Experience : 7+ Years Job Summary Data Prowess is looking for a seasoned Data Test Analyst with deep expertise in ETL testing and Informatica PowerCenter . You will play a critical role in validating data pipelines, ensuring data integrity, and collaborating with cross-functional teams to support data quality initiatives. Key Responsibilities ETL Testing : Validate ETL workflows, data transformations, and data loads using Informatica PowerCenter . Data Validation : Conduct source-to-target data validation to ensure accuracy and completeness. Test Strategy & Planning : Create test plans , test cases, and test scripts based on business requirements. SQL & Database Testing : Write and execute complex SQL queries for validating data in Oracle, SQL Server, MySQL , etc. Defect Management : Identify and log defects; track and manage through tools like JIRA, HP ALM, or TestRail . Collaboration : Work with developers, BAs, and QA teams to investigate issues and uphold data quality. Performance Testing : Identify and report performance bottlenecks in ETL jobs; suggest optimization strategies. Required Skills & Experience 7+ years of experience in ETL/Informatica Testing . Expertise in Informatica PowerCenter and ETL validation. Strong SQL knowledge with the ability to handle complex queries, joins, indexing, and performance tuning . Proficiency in test case design, execution , and defect tracking . Solid understanding of data warehousing and BI reporting tools . Experience with Agile methodologies and tools like JIRA, Confluence, or Azure DevOps . Strong analytical, debugging, and communication skills. Preferred Skills Experience with cloud-based ETL platforms. Familiarity with ETL testing automation frameworks . Exposure to big data technologies . Educational Qualification Bachelor's degree in Computer Science, Information Technology , or a related field. Competitive Salary Package Immediate Joining Reach us at - hr@data-prowess.com Contact: 8073332143

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.

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

Role & responsibilities 1 strong experience in ETL Testing

JD for ETL Testing: 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, and testing methodologies to ensure the quality and integrity of data across our systems and applications. The ideal candidate will have strong technical skills with hands-on experience in testing, test data creation, defect triage, and working with various databases and reporting tools with Automation experience. Key Responsibilities: 1. Having good knowledge on Data warehouse Concepts, ETL validations using tools such as Informatica, Matillion and DBT for seamless data extraction, transformation, and loading, Ensure data integrity and quality throughout the ETL pipeline. 2. Execute and manage queries across various databases including Snowflake, Oracle, Netezza, SQL Server, Dynamo DB, DB2, and Postgres and Conduct data validation and troubleshooting through SQL scripting. 3. Develop and maintain automation scripts using tools like Query Surge, Tosca DI, Python, java and selenium and Improve testing efficiency by integrating automation in data testing and regression processes. 4. Perform data validation and generate reports using BI tools such as MicroStrategy, Power BI, and Tableau and Ensure data consistency and accuracy across reporting platforms for business insights. 5.Author comprehensive test scripts to validate data processes and outcomes. 6.Perform regression testing to ensure the continued functionality and performance of data applications. 7.Analyze defects and collaborate with development teams for timely resolution. 8.Create, manage, and maintain test data sets to ensure realistic and consistent testing scenarios. 9.Apply appropriate testing methodologies to ensure thorough coverage and quality control of data systems. 10.Leverage cloud platforms such as AWS and Azure for cloud-based testing environments and solutions. 11.Having a knowledge on Test management tools like Jira, ALM, etc..

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

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

#Appzlogic is hiring for ETL Tester Salary range - 15-17 lpa ETL QA Engineer with 5 - 8 years of experience in below skillsets Key Skills:- 1. SSMS (Sql Server Management Studio) 2. Azure Synapse (understanding of medallion architechture and pyspark notebooks) 3. Testing ETL pipelines (source to target validation) 4. Understanding of Datawarehouing 5. Excellent communication skills 6. Extensive experience working in Agile Immediate Joiners are preferred. Please share your resume on - aarya.paritkar@appzlogic.com

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.

Job Description: We at HCL Tech are looking for candidates for the job role of "ETL Tester" . Technical qualifications: Relevant experience on ETL Testing should be 5+ years. The ideal candidate will have hands-on experience testing ETL pipelines, data migration, workflows, and cloud data platforms like Snowflake, with exposure to legacy ETL tools such as Informatica. 5+ years in data testing or quality assurance with strong experience in data validation and ETL testing. Hands-on experience testing data migrations to Snowflake or other cloud data warehouses. Proficient in scripting languages such as Python for test automation and data validation. Knowledge of real-time data streaming platforms such as Kafka, Kinesis, or equivalents. Strong SQL skills for writing complex queries to validate data integrity and transformations. Experience with automated testing tools and frameworks for data quality checks. Familiarity with CI/CD tools and practices to integrate automated testing. Job Type : Full-time and permanent Job Location : PAN India (Noida, Pune, Hyderabad, Bangalore and Chennai) Notice period : immediate to 30 days only. Shift Timings: 1:30 PM to 11:00 PM Work mode: On-site role with 5 days of working. Interested candidates can directly share their updated resumes with us at aditi-agarwal@hcltech.com OR can apply here.

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

Job Description We are looking for energetic, high-performing and highly skilled Quality Assurance Engineer to help shape our technology and product roadmap. You will be part of the fast-paced, entrepreneurial Enterprise Personalization portfolio focused on delivering the next generation global marketing capabilities. This team is responsible for Global campaign tracking of new accounts acquisition and bounty payments and leverages transformational technologies, such as SQL, Hadoop, Spark, Pyspark, HDFS, MapReduce, Hive, HBase, Kafka & Java. Focus: Provides domain expertise to engineers on Automation, Testing and Quality Assurance (QA) methodologies and processes, crafts and executes test scripts, assists in preparation of test strategies, sets up and maintains test data & environments as well as logs results. 4 - 6 years of hands-on software testing experience in developing test cases and test plans with extensive knowledge of automated testing and architecture. Expert knowledge of Testing Frameworks and Test Automation Design Patterns like TDD, BDD etc. Expertise in developing software test cases for Hive, Spark, SQL written in pyspark SQL and Scala. Hands-on experience in Performance and Load Testing tools such as JMeter, pytest or similar tool. Experience with industry standard tools for defect tracking, source code management, test case management, test automation, and other management and monitoring tools Experience working with Agile methodology Experience with Cloud Platform (GCP) Experience in designing, developing, testing and debugging, and operating resilient distributed systems using Big Data ClustersGood sense for software quality, the clean code principles, test driven development and an agile mindset High engagement, self-organization, strong communication skills and team spirit Experience with building and adopting new test frameworks.Bonus skills:Testing Machine learning/data mining Roles & Responsibilities Responsible for testing and quality assurance of large data processing pipeline using Pyspark and SQL. Develops and tests software, including ongoing refactoring of code, and drives continuous improvement in code structure and quality• Functions as a platform SME who drives quality and automation strategy at application level, identifies new opportunities and drives Software Engineers to deliver the highest quality code. Delivers on capabilities for the portfolio automation strategy and executes against the test and automation strategy defined at the portfolio level. Works with engineers to drive improvements in code quality via manual and automated testing. Involved in the review of the user story backlog and requirements specifications for completeness and weaknesses in function, performance, reliability, scalability, testability, usability, and security and compliance testing. Provides recommendations Plans and defines testing approach, providing advice on prioritization of testing activity in support of identified risks in project schedules or test scenarios.

Role & responsibilities Ensured that data loaded into target systems matched the source by performing thorough validation checks on structure, content, and volume. Created and ran test cases based on data mapping documents and transformation logic to verify ETL processes and business rules. Used SQL queries to check data quality, identify anomalies, and confirm correct data transformations across staging and production environments. Identified data issues, documented them clearly, and tracked them in defect management tools like JIRA, contributing to faster issue resolution. Worked closely with data engineers and analysts to understand data workflows and clarify business rules for accurate testing. Recorded test results, maintained test evidence, and supported audit and review processes through organized documentation. Preferred candidate profile Good working knowledge of SQL for querying and manipulating data, preferably on Oracle or DB2 databases. Basic familiarity with ETL tools like Informatica , Talend , or Pentaho . Fundamental understanding of Unix/Linux commands and simple Python scripting for data validation and automation tasks. Awareness of Finacle banking modules (such as CASA, Loans, Payments) and their related data concepts. Desired Skills: Experience with test data validation, reconciliation, and business rule implementation. Familiar with version control and ticketing systems (e.g., Git, JIRA).

Test Data management Location - Hyderabad / Pune Expr - 10+ Years Define and implement test strategies and test plans for DWH projects, covering data pipelines, data integrity, and reporting accuracy. Develop and execute comprehensive test cases and SQL queries to validate data accuracy, completeness, and transformation logic. Test ETL workflows for data extraction, transformation, and loading processes, ensuring alignment with business requirements. Perform data validation testing and reconciliation across data sources, staging, and data warehouses. Test and validate BI reports and dashboards built using tools like Tableau, Power BI, and ThoughtSpot, ensuring data correctness, visual accuracy, and performance. Collaborate with BI developers and stakeholders to validate KPIs, data visualizations, and user interface requirements. Perform performance testing for complex BI dashboards, ensuring scalability and optimal query performance. Oversee defect management and issue resolution using tools like Jira or Azure DevOps. Conduct root cause analysis for data issues and collaborate with engineering teams for resolution. Automate data validation processes using scripting tools such as Python or frameworks like dbt to optimize testing efficiency. Generate test reports and metrics, providing updates on testing progress, issues, and resolution status. Drive continuous improvements in QA processes, tools, and techniques to ensure testing scalability and efficiency. Ensure all testing adheres to organizational quality standards and best practices for DWH and BI projects.

Minimum of 5 Years of Experience in Quality Assurance, Database Testing, Data warehouse testing/ETL Testing. Experience with Data Warehouse/Data Marts IS REQUIRED. Experience with any one of the Industry ETL Tools like Informatica, Abinitio, SSIS Financial software testing experience with solid SQL/Database skills ARE REQUIRED, SQL Server, and/or Oracle preferred. Experience in knowledge of industry standard best practices as related to software testing Experience in creating test cases, scripts, use of automated test tools, testing client/server applications. Experience in working with Agile projects. Experience in handling large programs and teams.

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

Greetings from Cognizant!!! We are hiring for Permanent Position with Cognizant. Experience:- 3 - 6 Yrs. Mandatory to have experience in ETL Testing, Mongo DB, Python, SQL, Azure databricks . Work Location: Chennai, Coimbatore Interview Mode : ( Virtual ) Interview Date : Weekday & Weekend

Experience:- 5-11 years Location:-Bangalore/Chennai/Hyderabad/Pune (F2F on 7th June) Notice Period:- Immediate Key Responsibilities: - Design and execute test plans, test cases, and test scripts for ETL processes - Validate data quality, integrity, and accuracy in source and target systems - Identify and report defects, and collaborate with ETL developers to resolve issues - Perform data profiling, data validation, and data reconciliation - Develop and maintain test automation frameworks and scripts - Lead and mentor junior testers, and provide guidance on testing best practices - Collaborate with stakeholders to understand testing requirements and ensure compliance with testing standards

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