76 Bi Testing Jobs - Page 2

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

Hi ,Greetings From IDESLABS.This is Navyafrom IDESLABS, we have a requirement on Etl Testing for one of our clients for contract to Hire role. job Details: skillsEtl TestingExperience7+ YearsLocationBangaloreJob typeContract to HirePay roll companyIDESLABSWork ModelHybrid JD JD with Primary Skill ETL testing /Strong SQL 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

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).

Job role - Datawarehouse BI testing Location - Chennai / Hyderabad / Bangalore / Mumbai / Ahmedabad / Indore Experience - 4 to 10 years 4+ years of experience in software testing with a strong focus on Data Warehousing, ETL testing, and BI testing. Solid understanding of data warehouse concepts (star schema, snowflake schema, OLAP, and dimensional modeling). Proficiency in writing complex SQL queries for data validation, reconciliation, and transformation testing. Hands-on experience testing ETL tools such as Informatica, Talend, Apache Airflow, or dbt. Expertise in testing and validating reports and dashboards built on BI tools: Tableau Power BI ThoughtSpot Familiarity with cloud-based DWH platforms like Snowflake, Databricks, AWS Redshift, or Azure Synapse. Experience with defect management tools such as Jira, TestRail, or Azure DevOps. Strong analytical skills with the ability to troubleshoot data quality and performance issues. Experience with performance testing and optimization for BI dashboards and large-scale datasets. Excellent communication, leadership, and stakeholder management skills.

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

Greetings from Zensar ! We are seeking a ETL Tester with the skillset below : QA professional with 7+ years of experience in manual testing of web applications, ETL processes, and reporting solutions - Power BI. Skilled in validating data pipelines, backend systems, and ensuring data integrity across UI and reports using strong SQL skills. Experienced in Agile/Scrum teams with a focus on high-quality, data-driven application delivery. Key Responsibilities: Design and execute manual test cases for web apps, reports, and data workflows Validate ETL data flows and transformations across staging and target systems Use SQL for backend testing, data reconciliation, and report validation Test Power BI dashboards for accuracy, performance, and data integrity Collaborate with developers, BAs, and data teams to ensure complete test coverage Track defects and support releases using Jira in Agile sprints Skills & Tools: Manual Testing | Web Apps | SQL | ETL Testing | Power BI | Reporting Validation | Jira | Agile/Scrum

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.

Exp: 6+ years Shift: 2 PM to 11 PM JD For SDET-1 : Experience 6+ yrs Handon experience in ETL & BI Test Automation and scripting . Handon experience in Data Integration Testing by using different sources using Snowflake and SQL server. Develop and maintain UI automation test scripts using frameworks like WebdriverIO, Playwright and JavaScript. Experience in SQL is mandatory and hands-on experience validating data accuracy using SQL and source system comparisons. GenAI Experience on Test Case Design and script automation is required. Assessing the performance and scalability of BI reports and dashboards. Collaborating with stakeholders across the teams. Experience with Agile Practices, Test Management and Defect Management

Job Description Strong knowledge of SQL and ETL Testing Strong SQL skills- Ability to write and interpret complex SQL queries. Extensive experience in ETL/ Data warehouse backend testing and BI Intelligence reports testing Hands-on experience in identifying issues in complex ETL data processing. Expertise in test management tools and defect tracking tools i.e JIRA Proficient experience of working on SDLC & Agile Methodology Excellent Knowledge of Database Systems Vertica /Oracle/ Teradata Experience in Business Intelligence testing in various reports Using Tableau Strong comprehension, analytical, and problem-solving skills Strong communication skills to put forward their point of view in various connects Desired Candidate Profile 7-12 years of experience in ETL Testing or Data Warehouse Testing (DWH). Strong understanding of complex SQL queries and ability to write efficient code snippets. Proficiency in Bi Testing tools such as Tableau or similar technologies. Experience working on Agile projects using Scrum methodology.

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

Role & responsibilities Sr. QA Engineer Job Description Position Name : Sr. Quality Assurance Engineer Purpose of the Position: The purpose of the Sr. Quality Assurance Engineer position is to ensure the highest standards of quality in our software products through comprehensive testing and validation processes, with a particular expertise on Business Intelligence (BI) and Extract, Transform, Load (ETL) testing, along with proficiency in SQL. This role involves creating and executing test plans, validating data accuracy and integrity, and ensuring the implementation of business rules, functionality and performance of BI tools. The QA Engineer will also be responsible for verifying the ETL processes, including data extraction, transformation, and loading, to guarantee that data is reliable and accessible for reporting and analysis. By collaborating closely with development and business teams, the QA Engineer will enhance product quality and performance, contributing to the overall success of the organization. Location: Nagpur/Pune Type of Employment: Full-time Key Result Areas and Activities: Testing and QA Expertise : Minimum of 7-8 years in a Testing/QA role. Strong grasp of QA concepts and lifecycle methodologies. Test Planning and Execution : Review requirements, specifications, and technical design documents to provide timely and meaningful feedback. Create detailed, comprehensive, and well-structured test cases, including criteria for data, functional, and performance testing. Estimate, prioritize, plan, coordinate, and execute testing activities effectively. Process Development and Improvement : Develop and apply testing processes for new and existing projects to meet client needs. Troubleshoot quality issues and modify test procedures as necessary. Reporting and Collaboration : Provide status reports on test execution, including tracking tests and issues/bugs. Collaborate with business teams to finalize test plans and test cases. Technical Skills and Teamwork : Understand SQL concepts and perform data testing using SQL. Work efficiently as a team player with minimal supervision. Preferred some knowledge of Cloud, AWS Services. Roles & Responsibilities Essential Skills: Proficient understanding of QA processes and best practices. Strong experience with SQL and its variations among popular databases (Oracle/ Snowflake), including data testing. Hands-on experience with ETL and BI (MSTR) testing. Ability to understand business / domain, functional knowledge. Able to understand and work with business/onsite stakeholders for requirements. Ability to create detailed and comprehensive test cases for data, functional, and performance testing. Familiarity with automation testing tools and frameworks is a plus.Basic knowledge of scripting languages (e.g., Python, Shell) for automation purposes. Desirable Skills: Experience in Agile frameworks (Scrum, Kanban) and experience with tools like Jira. Familiarity with additional BI tools beyond Mstr such as MicroStrategy/ Tableau. Understanding of data warehousing principles and architecture. Nice to have basic knowledge of cloud services. Qualifications: Bachelor?s degree in computer science, Information Technology or related field. Minimum of 7+ years of experience in a Testing/QA role, with a focus on BI and ETL testing. Qualities: Strong focus on accuracy and thoroughness in testing processes and documentation. Ability to think critically and analyse complex data to identify issues and improvement opportunities. Willingness to learn new tools, technologies, and processes to keep up with industry trends. Collaborative attitude with a willingness to support team members and contribute to a positive team environment. Ability to work independently with minimal supervision while managing multiple tasks efficiently. Preferred candidate profile : Immediate Joiner Only

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

Position: Data Testing Experience: 5-12 years Location: Mumbai Required Skills and Qualifications: BachelorsMasters degree in Computer Science Information Technology or related field 8-12 years of testing experience with 3 years in a leadership role Strong experience in data warehouse ETL and BI testing Expertise in Qlik QlikView Qlik Sense testing and validation Advanced SQL skills and database management knowledge Proven experience in test management tools ALM JIRA Strong understanding of testing methodologies and quality frameworks Experience in managing performance testing initiatives Excellent project management and risk assessment skills Strong leadership and team management abilities Outstanding communication and stakeholder management skills Experience in resource planning and capacity management Preferred Qualifications: Experience with test automation frameworks and strategies Knowledge of multiple BI platforms Tableau Power BI Understanding of data governance and compliance requirements Experience with Agile Scrum methodologies testing certifications ISTQB CSTE Experience in implementing test automation frameworks Knowledge of industry best practices in data quality management Experience in managing offshore onshore testing teams Strong analytical and problem solving skills Ability to work under pressure and meet deadlines Experience in handling multiple projects simultaneously Understanding of data governance and compliance requirements Experience with Agile Scrum methodologies testing certifications ISTQB CSTE Experience in implementing test automation frameworks Knowledge of industry best practices in data quality management Experience in managing offshore onshore testing teams Strong analytical and problem solving skills Ability to work under pressure and meet deadlines Experience in handling multiple projects simultaneously

We, at Jet2 (UK’s third largest airline and largest tour operator), have set up a state-of-the-art Technology and Innovation Centre in Pune, India. We are recruiting for an experienced and passionate Lead Test Engineer to join our growing Data Engineering program which is focused on making data assets from across our business available in cloud for advanced analytics, data science and automated decision making. These data assets drive mission critical processes across our commercial and operational teams contributing towards profitable growth, competitive advantage, and exceptional customer satisfaction. This is an exciting opportunity to help us become a leading data-drive organisation through the effective use of data. The successful candidate will play a pivotal role in the success of our Data Engineering & Analytics program working closely with colleagues across our business and technical teams. You will be testing and encompassing a wide variety of data sources and will ensure data is cleansed, well structured, and appropriately transformed to support a wide variety of use cases ranging from self-service analytics through to data warehousing and data science. We are looking for a thought-leader in the space of Cloud Data Engineering to not only enable us to deliver solutions efficiently but also evolve our Data Engineering processes and practices to ensure we continue to align with industry best-practice and take advantage of new developments in the Data Engineering landscape. Key Responsibilities: Our Test Lead’s priority is to plan, monitor and direct testing items, activities, and tasks to deliver high-quality, well-modelled, clean, and trustworthy data assets for use across the business. Our data teams best practices and industry Standards solid experience testing data products, applications Test delivery across several multi-disciplinary (on-prem, cloud, data platforms, warehouse, tableau dashboard etc) data delivery team Assessing the appropriate level of testing for each piece of work, and supporting the planning, execution and documentation of testing carried out Measuring and improving our data test practices and processes Helping develop Agile Data Testing methodologies and Automated Data Testing processes Direct line management for Test Engineers within the teams you are supporting, ensuring that all your direct reports have learning and development plans in place and that these are continually reviewed Lead the new initiatives in test automation, strategy/framework as required and focus specifically on maximizing reusability for regression. Build test plans, test scenarios, and test data to support development projects and project requirements, and design documents Develop and oversee onboarding QA Training for new hire and advance training program for experience resources. Roles and Responsibilities Technical Skills & Knowledge: Test Lead will ideally have experience working in a fast-paced Agile delivery environment with a focus on rapid delivery of business value through iterative development and testing approaches. You will also have the following skills. Advanced SQL knowledge with experience using a wide variety of source systems including Microsoft SQL Server Have prior test leadership and line management experience or have been in a senior test role with significant mentoring experience Test Certified such as ISTQB Experience of working in an Agile delivery team using automated build, deployment, and testing (CI\CD, DevOps, DataOps) Automate tests for data validation, schema verification, data transformation, and data quality checks across different stages of the pipeline. Write scripts and programs in languages such as Python, Java, or Scala to automate test execution. Use advanced features in DBT to write generic and singular test cases. Have experience in developing and implementing best practices across QA team regarding data validation, functional testing, and regression testing Have experience in data testing on one or more of the following technology platforms (cloud data platform experience preferred): Microsoft SQL Server (T-SQL, SSIS, SSRS, SSAS) Google Cloud Platform (GCS, Google Cloud Composer, GKE, Cloud Functions, BiqQuery) Snowflake Cloud Data Platform dBt Data Transformation Framework Tableau Data Visualisation Platform Experience in automated data testing or the creation of automated data testing frameworks would be highly beneficial across any of the above technology platform Relevant Experience: 9+ years’ experience in a data-related role with recent experience in the field of cloud data engineering. Experience of cloud data analytics and data warehousing would be an advantage. Soft Skills: Excellent communication skills – verbal and written Strong team and stakeholder management skills – you should have the ability to build strong relationships with people across a wide variety of teams and backgrounds Experience working with people across different geographical regions, particularly UK and US Excellent planning and time management skills to ensure projects are delivered on time and to requirement with issues being escalated and addressed effectively Exceptional presentation skills – you will be responsible for documenting solution designs for presentation and sign-off as well as delivering internal presentation to support continual development of your team Leadership & Organisation Skills: Lead a team of test engineers working across multiple projects (Senior, Mid, Junior and Graduate level Test Engineers) Set individual development goals, monitor, and manage performance, provide timely feedback and take responsibility for professional development of team members Collaborate with wider data team including Solution Architects, Specialists, Enterprise Architects, Data Scientists, Data Visualisation Specialists, Analytics Engineers, and Test Engineers Qualification & Certification: B.E./B.Tech/ MTech in IT or Computer Science from reputed institute (preferred) or master’s degree in quantitative Subjects e.g. Mathematics, Statistics & Economics