596 Etl Testing Jobs - Page 4

Primary Responsibilities Experience in writing complex SQL queries and experience with any data visualization tool is preferable e.g., Tableau, Power BI. Good exposure of Software Testing methodologies, Implementation of Data Lakes, Data warehouse/ETL projects, Big Data projects in On-Premises & Cloud Environments Experienced in SAS applications and Python Programming Ability to write SQL queries to conduct data validations and probe quality issues with data. Experience in Project Delivery Methodologies: SDLC, Iterative, Agile, Scrum, Kanban Experience in ALM Tools like JIRA, TFS (Azure Devops) & Confluence. Knowledge on data quality fundamentals and data governance concepts. Hands-on experience with all levels of testing includes Smoke Testing, Integration Testing, System Testing and Regression Testing. Knowledge of PL-SQL, PySpark & SQL, on framing and tuning the Queries so that it covers all the data scenarios. Accountable for high quality and on time delivery for task assigned. Qualifications: Education: Bachelors degree required in computer sciences, or equivalent and relevant work experience in a software Testing environment. Experience: Around 1 to 6 years of experience in Software Quality Testing. Prior testing experience with pharmaceutical related software, preferred. In-depth understanding of software quality assurance, preferably in a Clinical Data environment. Ability to write SQL queries to conduct data validations and probe quality issues with data. Experience in Project Delivery Methodologies: SDLC, Iterative, Agile, Scrum, Kanban Knowledge and understanding of the Software Development, Life Cycle (SDLC) testing methodology and document management. Proficiency in the use of Microsoft Office Suite of tools (Outlook, Word, Excel, etc.) Experience in writing test cases based on product requirements. Experience working closely with development and business teams to communicate problem impacts and to understand business requirements. Shows creativity and initiative to improve product test coverage and effectiveness (preferred)

l Test Planning and Strategy:. . Collaborate with business analysts, data engineers, and stakeholders to understand ETL requirements and data transformations.. Develop comprehensive ETL test plans and strategies, c

You are a skilled Data QA Engineer II tasked with developing and maintaining an automated regression suite to safeguard data integrity, ensure quality, and streamline logical processes in alignment with business needs. Your responsibilities include actively participating in Agile ceremonies, analyzing requirements, devising testing strategies, and facilitating the Agile process across cross-functional teams. You will collaborate with various stakeholders such as product owners, project managers, data analysts, data scientists, and developers to enhance user stories, acceptance criteria, and provide feedback on business flows and strategies. Your role involves writing intricate SQL queries on extensive datasets to maintain data integrity throughout the ETL lifecycle. You will construct and sustain automated test coverage using PyTest/Python to validate business objectives and technical solutions for both new and existing functionalities within each sprint. Additionally, you will liaise with team leads from discovery to resolution, serving as the primary contact for all QA aspects of releases, delivering QA services, offering UAT guidance, and coordinating QA resources internally and externally for the squad. To excel in this position, you should hold a Bachelor's degree in Computer Science, Data Science, or Information Systems, with at least 5 years of experience in agile software development testing. You must possess a minimum of 3 years of expertise in database testing for relational databases (preferably Snowflake and MS SQL Server), ETL/ELT data solutions, and reporting and analytics tools. Proficiency in data warehouse concepts like star schemas, snowflakes, facts, and dimensional modeling is crucial. Your experience in crafting complex SQL queries, determining the required testing types, evaluating testability of requirements, and devising comprehensive test plans that align with business and technological solutions will be essential. Key skills for this role include API Testing, Manual Testing using tools like Postman/swagger, and automated testing with REST Assured/CURL. Proficiency in utilizing Git, GitHub, CI/CD processes, Jenkins, Docker, Jira, or other bug-tracking software is highly valued. The job location is in Pune, with a required experience range of 2 to 5 years and an annual CTC between 300,000 to 700,000 INR. If you are passionate about ETL testing, automation, manual testing, agile software development, snowflakes, SQL, and ETL Testing, we invite you to apply for this exciting opportunity. Join our team from 12th November 2024 to 30th April 2025 at the specified venue - Ground floor, IT-06 building, Qubix Business Park, Neopro SEZ, Near Cognizant Sys, Rajiv Gandhi Infotech Park - Phase-I, Hinjewadi, Pune 400065. For more information, visit our website at [https://www.itgurussoftware.com](https://www.itgurussoftware.com).,

The IT Quality Intermediate Analyst role is suitable for a developing professional who can independently handle most problems with some flexibility to solve complex issues. By combining specialized knowledge with a solid understanding of industry standards and practices, you contribute to the team's success in achieving subfunction/job family objectives. Your analytical thinking, along with proficiency in data analysis tools and methodologies, is vital for making informed judgments and recommendations based on factual information. Handling variable issues with potential broader business impact, you must apply professional judgment when interpreting data and results. Your ability to break down information systematically and communicate effectively is crucial. Effective communication and diplomacy skills are essential for exchanging potentially complex/sensitive information. Your work directly impacts the quality and timeliness of service provided, affecting not only your team but also other closely related teams. **Responsibilities:** - Support initiatives related to User Acceptance Testing (UAT) process and product rollout into production, collaborating with technology project managers, UAT professionals, and users to design and implement appropriate scripts/plans for application testing strategies. - Conduct a variety of moderately complex process monitoring, product evaluation, and audit assignments, reporting issues and recommending solutions. - Ensure project standards and procedures are clearly documented and followed throughout the software development life cycle, making recommendations for enhanced documentation. - Monitor products and processes for conformance to standards and procedures, documenting findings and performing preliminary root cause analyses for recommended improvements. - Verify traceability in project work products, gather, maintain, and create reports on quality metrics. - Provide informal guidance to new team members, resolve problems by identifying and selecting solutions through technical experience, and impact the business by ensuring work quality. - Perform other duties and functions as assigned, demonstrating clear and concise communication skills and logical analysis abilities. **Qualifications:** - 5+ years of Quality Assurance (QA) experience in the Financial Service industry preferred. - Experience in ETL testing, hands-on experience in creating complex SQL queries, knowledge of programming languages, test automation creation/design, and requirement reviews. - Understanding of QA within the Software Development Lifecycle (SDLC) and QA methodologies, quality processes, logical analysis skills, attention to detail, and problem-solving abilities. - Ability to work to deadlines, clear and concise written and verbal communication skills, experience in defining, designing, and executing test cases. **Education:** - Bachelor's/University degree or equivalent experience. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.,

As a Senior Data Analytics and Quality Engineer with 7 to 14 years of experience, you will play a crucial role in ensuring the quality of analytics products within our organization. Your responsibilities will include designing and documenting testing scenarios, creating test plans, and reviewing quality specifications and technical designs for both existing and new analytics products. You will collaborate closely with the Data & Analytics team to drive data quality programs and implement automated test frameworks within an agile team structure. Your expertise in QA processes, mentoring, ETL testing, data validation, data quality, and knowledge of RCM or US Healthcare will be essential in this role. Proficiency in programming languages such as SQL (T-SQL or PL/SQL) is a must, while knowledge of Python is a plus. Hands-on experience with tools like SSMS, Toad, BI tools (Tableau, Power BI), SSIS, ADF, and Snowflake will be beneficial. Familiarity with data testing tools like Great Expectations, Deequ, dbt, and Pytest for data scripts is desirable. Your educational background should include a Bachelor's degree in computer science, Information Technology, Data Science, Math, Finance, or a related field, along with a minimum of 5 years of experience as a quality assurance engineer or data analyst with a strong focus on data quality. Preferred qualifications include QA-related certifications and a strong understanding of US healthcare revenue cycle and billing. In this role, you will be responsible for test execution for healthcare analytics, creation of detailed test plans and test cases, and ensuring that production system defects are documented and resolved promptly. Your ability to design testing procedures, write testing scripts, and monitor testing results according to best practices will be crucial in ensuring that our analytics meet established quality standards. Your knowledge of test case management tools, Agile development tools, data quality frameworks, and automated testing tools will be valuable assets in this position. Additionally, your proficiency in SQL, ability to test data systems for performance and scalability, and strong analytical skills will contribute to the success of our analytics products. Strong communication skills, process improvement abilities, and time management skills are also essential for this role. If you are looking to join a growing and innovative organization where you can work with new technology in both manual and automation testing environments, this Senior Quality Assurance Engineer position is an ideal opportunity for you.,

You have a great opportunity as an SE/SSE/SA in Chennai with 4-8 years of experience in database testing and ETL + Bigdata (Hive) testing. Your role will involve working with Agile methodology, having a minimum of 4-6 years of testing experience including test planning & execution. It would be beneficial if you have experience in the auditing domain. Your responsibilities will include strong application analysis, troubleshooting skills, and behavior skills. You should have extensive experience in manual testing, while experience with automation scripting would be an added advantage. You will also be required to lead discussions with Business, Development, and vendor teams for testing activities such as Defect Coordinator and test scenario reviews. As part of the role, you should have expertise in Data Warehouse (DWH) and ETL testing, with experience in Redshift ETL tool and AWS. Knowledge in Analytics tools like Tableau and Collibra would be beneficial. You should be open to working in 2nd shifts from 1pm to 10pm and possess excellent communication skills to effectively collaborate with various teams.,

You should have 4.5-6 years of experience in SDET with strong core skills in Data Warehouse, SQL, Databricks, FDL, and ETL concepts. Your primary skill should be SDET with additional expertise in Selenium, Databricks, SQL, and ETL Testing. Infogain is a human-centered digital platform and software engineering company headquartered in Silicon Valley. They specialize in engineering business outcomes for Fortune 500 companies and digital natives across various industries using cutting-edge technologies like cloud, microservices, automation, IoT, and artificial intelligence. As a Microsoft Gold Partner and Azure Expert Managed Services Provider, Infogain accelerates experience-led transformation in the delivery of digital platforms. With multiple offices and delivery centers worldwide, Infogain offers a dynamic and innovative work environment for professionals in the technology sector.,

As a qualified candidate for this role, you must possess hands-on experience in creating complex SQL queries. Your expertise should extend to all types of SQL to effectively manipulate and extract data from databases. In addition, you should have a solid background in ETL testing and data comparison to ensure the accuracy and integrity of data transfers. Experience in API testing is also a must-have for this position. You should be adept at testing various APIs to validate their functionality, performance, and security. Moreover, you should be capable of thinking through different scenarios for diverse validations related to data reconciliation, demonstrating your analytical and problem-solving skills. While not mandatory, Python experience would be considered an added advantage. Proficiency in Python programming can enhance your ability to automate tasks, analyze data, and streamline processes within the testing environment. Your familiarity with Python can be leveraged to improve efficiency and productivity in your day-to-day responsibilities.,

About Position: We are conducting an in-person hiring drive for the position QA Engineer in Pune on 26h July 2025. Interview Location is mentioned below: Hyderabad: Gate 11, Argus Block-Sattva Knowledge City, 6th Floor Beside T-hub, Silpa Gram Craft Village, Madhapur Rai Durg, Hyderabad, 500081. We are looking QA Engineer (ETL testing, SSRS, SSIS,Data validation) Role: QA Engineer Location: Hyderabad Experience: 6- 10 Years Job Type: Full Time Employment Mandatory Mention 3 skills: What You'll Do: Perform data validation testing to ensure data consistency between on-premises SQLServer and cloud-based Azure and Snowflake environments. Develop and execute comprehensive testing plans to validate all data within the data warehouse. Leverage appropriate test automation tools to automate data validation processes, minimizing manual checks and file comparisons. Collaborate with data engineers, cloud architects, and other stakeholders to understand data migration requirements and ensure accurate data validation. Identify, document, and address data discrepancies and validation issues promptly. Maintain detailed documentation of testing processes, results, and corrective actions. Continuously improve testing methodologies and tools to enhance data validation efficiency and accuracy. Ensure compliance with data governance and security policies during the validation process. Expertise You'll Bring: Minimum of 6 years prior experience in data validation and quality assurance on data warehouse projects. Proven experience in data validation and quality assurance, particularly in data migration projects. Strong knowledge of SQLServer, Azure Cloud data tools (ADF, SHIR, Logic Apps, ADLS Gen2, Blob Storage), and Snowflake. Proficiency in test automation tools and frameworks (e.g., Selenium, TestNG, JUnit). Excellent analytical and problem-solving skills. Strong attention to detail and ability to identify data inconsistencies. Effective communication skills to collaborate with cross-functional teams. Ability to work independently and manage multiple tasks simultaneously Benefits: Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Inclusive Environment: Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. We offer hybrid work options and flexible working hours to accommodate various needs and preferences. Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, and assistive technologies to support employees with physical disabilities. If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment. We are committed to creating an inclusive environment where all employees can thrive. Our company fosters a values-driven and people-centric work environment that enables our employees to: Accelerate growth, both professionally and personally Impact the world in powerful, positive ways, using the latest technologies Enjoy collaborative innovation, with diversity and work-life wellbeing at the core Unlock global opportunities to work and learn with the industry's best Let's unleash your full potential at Persistent "Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."

Key Responsibilities: Data Testing Strategy & Execution: Design, develop, and execute comprehensive test plans and test cases for data-centric applications, ETL processes, data warehouses, data lakes, and reporting solutions. SQL-Driven Validation: Utilize advanced SQL queries to perform complex data validation, data reconciliation, data integrity checks, and data quality assurance across various financial data sources. ETL Testing: Conduct thorough testing of ETL (Extract, Transform, Load) processes, ensuring data is accurately extracted, transformed according to business rules, and loaded correctly into target systems. Data Quality Assurance: Implement and monitor data quality checks, identify data discrepancies, anomalies, and inconsistencies, and work with development and business teams to resolve issues. Performance Testing (Data Focus): Contribute to performance testing efforts for data pipelines and database operations, ensuring optimal query and data load performance. Test Data Management: Create and manage robust test data sets for various testing phases, including positive, negative, and edge case scenarios. Defect Management: Identify, document, track, and re-test defects in data, collaborating closely with development and data engineering teams for timely resolution. Documentation & Reporting: Maintain clear and concise documentation of test plans, test cases, test results, and data quality reports. Provide regular status updates to stakeholders. Collaboration: Work effectively with business analysts, data architects, data engineers, and project managers to understand data flows, business requirements, and ensure data quality standards are met. Process Improvement: Proactively identify opportunities for process improvements in data testing methodologies and tools. Global Team Collaboration: Provide consistent overlap with EST working hours (until noon EST) to facilitate effective communication and collaboration with US-based teams. Required Skills & Experience: Experience: 8-10 years of hands-on experience in Data Quality Assurance, Data Testing, or ETL Testing roles. SQL Expertise: o Advanced proficiency in SQL: Ability to write complex queries, subqueries, analytical functions (Window functions), CTEs, and stored procedures for data validation, reconciliation, and analysis. o Experience with various SQL databases (e.g., SQL Server, Oracle, PostgreSQL, MySQL, Snowflake, BigQuery). o Strong understanding of database concepts: normalization, indexing, primary/foreign keys, and data types. Data Testing Methodologies: Solid understanding of data warehousing concepts, ETL processes, and various data testing strategies (e.g., source-to-target mapping validation, data transformation testing, data load testing, data completeness, data accuracy). Domain Expertise: o Strong understanding and proven experience in Risk and Finance IT domain: Familiarity with financial data (e.g., trading data, market data, risk metrics, accounting data, regulatory reporting). o Knowledge of financial products, regulations, and risk management concepts. Analytical & Problem-Solving Skills: Excellent ability to analyze complex data sets, identify root causes of data issues, and propose effective solutions. Communication: Strong verbal and written communication skills to articulate data issues and collaborate with diverse teams. Mandatory Competencies Database - PostgreSQL - PostgreSQL Database - Sql Server - SQL Packages ETL - ETL - Tester QA/QE - QA Automation - ETL Testing Beh - Communication

Key Responsibilities: Data Testing Strategy & Execution: Design, develop, and execute comprehensive test plans and test cases for data-centric applications, ETL processes, data warehouses, data lakes, and reporting solutions. SQL-Driven Validation: Utilize advanced SQL queries to perform complex data validation, data reconciliation, data integrity checks, and data quality assurance across various financial data sources. ETL Testing: Conduct thorough testing of ETL (Extract, Transform, Load) processes, ensuring data is accurately extracted, transformed according to business rules, and loaded correctly into target systems. Data Quality Assurance: Implement and monitor data quality checks, identify data discrepancies, anomalies, and inconsistencies, and work with development and business teams to resolve issues. Performance Testing (Data Focus): Contribute to performance testing efforts for data pipelines and database operations, ensuring optimal query and data load performance. Test Data Management: Create and manage robust test data sets for various testing phases, including positive, negative, and edge case scenarios. Defect Management: Identify, document, track, and re-test defects in data, collaborating closely with development and data engineering teams for timely resolution. Documentation & Reporting: Maintain clear and concise documentation of test plans, test cases, test results, and data quality reports. Provide regular status updates to stakeholders. Collaboration: Work effectively with business analysts, data architects, data engineers, and project managers to understand data flows, business requirements, and ensure data quality standards are met. Process Improvement: Proactively identify opportunities for process improvements in data testing methodologies and tools. Global Team Collaboration: Provide consistent overlap with EST working hours (until noon EST) to facilitate effective communication and collaboration with US-based teams. ________________________________________ Required Skills & Experience: Experience: 5-8 years of hands-on experience in Data Quality Assurance, Data Testing, or ETL Testing roles. SQL Expertise: o Advanced proficiency in SQL: Ability to write complex queries, subqueries, analytical functions (Window functions), CTEs, and stored procedures for data validation, reconciliation, and analysis. o Experience with various SQL databases (e.g., SQL Server, Oracle, PostgreSQL, MySQL, Snowflake, BigQuery). o Strong understanding of database concepts: normalization, indexing, primary/foreign keys, and data types. Data Testing Methodologies: Solid understanding of data warehousing concepts, ETL processes, and various data testing strategies (e.g., source-to-target mapping validation, data transformation testing, data load testing, data completeness, data accuracy). Domain Expertise: o Strong understanding and proven experience in Risk and Finance IT domain: Familiarity with financial data (e.g., trading data, market data, risk metrics, accounting data, regulatory reporting). o Knowledge of financial products, regulations, and risk management concepts. Analytical & Problem-Solving Skills: Excellent ability to analyze complex data sets, identify root causes of data issues, and propose effective solutions. Communication: Strong verbal and written communication skills to articulate data issues and collaborate with diverse teams. Mandatory Competencies QA/QE - QA Automation - ETL Testing ETL - ETL - Tester Beh - Communication and collaboration Database - Sql Server - SQL Packages Database - PostgreSQL - PostgreSQL

Key Responsibilities: Data Testing Strategy & Execution: Design, develop, and execute comprehensive test plans and test cases for data-centric applications, ETL processes, data warehouses, data lakes, and reporting solutions. SQL-Driven Validation: Utilize advanced SQL queries to perform complex data validation, data reconciliation, data integrity checks, and data quality assurance across various financial data sources. ETL Testing: Conduct thorough testing of ETL (Extract, Transform, Load) processes, ensuring data is accurately extracted, transformed according to business rules, and loaded correctly into target systems. Data Quality Assurance: Implement and monitor data quality checks, identify data discrepancies, anomalies, and inconsistencies, and work with development and business teams to resolve issues. Performance Testing (Data Focus): Contribute to performance testing efforts for data pipelines and database operations, ensuring optimal query and data load performance. Test Data Management: Create and manage robust test data sets for various testing phases, including positive, negative, and edge case scenarios. Defect Management: Identify, document, track, and re-test defects in data, collaborating closely with development and data engineering teams for timely resolution. Documentation & Reporting: Maintain clear and concise documentation of test plans, test cases, test results, and data quality reports. Provide regular status updates to stakeholders. Collaboration: Work effectively with business analysts, data architects, data engineers, and project managers to understand data flows, business requirements, and ensure data quality standards are met. Process Improvement: Proactively identify opportunities for process improvements in data testing methodologies and tools. Global Team Collaboration: Provide consistent overlap with EST working hours (until noon EST) to facilitate effective communication and collaboration with US-based teams. Required Skills & Experience: Experience: 5-8 years of hands-on experience in Data Quality Assurance, Data Testing, or ETL Testing roles. SQL Expertise: o Advanced proficiency in SQL: Ability to write complex queries, subqueries, analytical functions (Window functions), CTEs, and stored procedures for data validation, reconciliation, and analysis. o Experience with various SQL databases (e.g., SQL Server, Oracle, PostgreSQL, MySQL, Snowflake, BigQuery). o Strong understanding of database concepts: normalization, indexing, primary/foreign keys, and data types. Data Testing Methodologies: Solid understanding of data warehousing concepts, ETL processes, and various data testing strategies (e.g., source-to-target mapping validation, data transformation testing, data load testing, data completeness, data accuracy). Domain Expertise: o Strong understanding and proven experience in Risk and Finance IT domain: Familiarity with financial data (e.g., trading data, market data, risk metrics, accounting data, regulatory reporting). o Knowledge of financial products, regulations, and risk management concepts. Analytical & Problem-Solving Skills: Excellent ability to analyze complex data sets, identify root causes of data issues, and propose effective solutions. Communication: Strong verbal and written communication skills to articulate data issues and collaborate with diverse teams. Mandatory Competencies QA/QE - QA Automation - ETL Testing ETL - ETL - Tester Beh - Communication and collaboration Database - Sql Server - SQL Packages Database - PostgreSQL - PostgreSQL

Key Responsibilities: Data Testing Strategy & Execution: Design, develop, and execute comprehensive test plans and test cases for data-centric applications, ETL processes, data warehouses, data lakes, and reporting solutions. SQL-Driven Validation: Utilize advanced SQL queries to perform complex data validation, data reconciliation, data integrity checks, and data quality assurance across various financial data sources. ETL Testing: Conduct thorough testing of ETL (Extract, Transform, Load) processes, ensuring data is accurately extracted, transformed according to business rules, and loaded correctly into target systems. Data Quality Assurance: Implement and monitor data quality checks, identify data discrepancies, anomalies, and inconsistencies, and work with development and business teams to resolve issues. Performance Testing (Data Focus): Contribute to performance testing efforts for data pipelines and database operations, ensuring optimal query and data load performance. Test Data Management: Create and manage robust test data sets for various testing phases, including positive, negative, and edge case scenarios. Defect Management: Identify, document, track, and re-test defects in data, collaborating closely with development and data engineering teams for timely resolution. Documentation & Reporting: Maintain clear and concise documentation of test plans, test cases, test results, and data quality reports. Provide regular status updates to stakeholders. Collaboration: Work effectively with business analysts, data architects, data engineers, and project managers to understand data flows, business requirements, and ensure data quality standards are met. Process Improvement: Proactively identify opportunities for process improvements in data testing methodologies and tools. Global Team Collaboration: Provide consistent overlap with EST working hours (until noon EST) to facilitate effective communication and collaboration with US-based teams. Required Skills & Experience: Experience : 5-8 years of hands-on experience in Data Quality Assurance, Data Testing, or ETL Testing roles. SQL Expertise: o Advanced proficiency in SQL: Ability to write complex queries, subqueries, analytical functions (Window functions), CTEs, and stored procedures for data validation, reconciliation, and analysis. o Experience with various SQL databases (e.g., SQL Server, Oracle, PostgreSQL, MySQL, Snowflake, BigQuery). o Strong understanding of database concepts: normalization, indexing, primary/foreign keys, and data types. Data Testing Methodologies: Solid understanding of data warehousing concepts, ETL processes, and various data testing strategies (e.g., source-to-target mapping validation, data transformation testing, data load testing, data completeness, data accuracy). Domain Expertise: o Strong understanding and proven experience in Risk and Finance IT domain: Familiarity with financial data (e.g., trading data, market data, risk metrics, accounting data, regulatory reporting). o Knowledge of financial products, regulations, and risk management concepts. Analytical & Problem-Solving Skills: Excellent ability to analyze complex data sets, identify root causes of data issues, and propose effective solutions. Communication: Strong verbal and written communication skills to articulate data issues and collaborate with diverse teams. Mandatory Competencies QA/QE - QA Automation - ETL Testing ETL - ETL - Tester Beh - Communication and collaboration Database - Sql Server - SQL Packages Database - PostgreSQL - PostgreSQL

Position Overview: We are looking for a detail-oriented and experienced Senior Test Engineer with 5 to 7 years of experience in ETL testing. The ideal candidate will have expertise in SQL, functional testing, and a solid understanding of Data Warehouse concepts. If you are passionate about ensuring data quality and integrity, and thrive in a collaborative environment, we would love to hear from you! Key Responsibilities: Design and execute ETL test plans, test cases, and test scripts to validate data transformations and data quality. Design, develop, and execute functional test cases. Conduct functional testing to ensure that ETL processes and data pipelines meet business requirements. Collaborate with data engineers, developers, and business analysts to understand data requirements and specifications. Utilize SQL to perform data validation and ensure accuracy and completeness of data in the Data Warehouse. Identify, document, and track defects using JIRA, ensuring timely resolution. Create and maintain comprehensive documentation of testing processes, methodologies, and results. Participate in code reviews and provide feedback to ensure best practices in ETL development. Stay updated on industry trends and advancements in ETL testing and Data Warehouse technologies. Technical Skills : Qualifications: Bachelors degree in Computer Science, Information Technology, or a related field. 5 to 7 years of experience in ETL testing and data quality assurance. Strong expertise in SQL for data validation and manipulation. Knowledge of Data Warehouse concepts, architectures, and best practices. Experience with functional testing methodologies and tools. Familiarity with JIRA for issue tracking and test case management. Excellent analytical and problem-solving skills. Solid understanding of the financial domain, with experience in testing financial applications. Strong communication skills with the ability to work collaboratively in a team environment. Experience with Agile or DevOps methodologies. Experience in Oracle DB or SQl Server tools. Experience in Azure synapse tool or any cloud based tools for Pipeline and ETL testing. Certification in QA or software testing.

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

Job Description: Job Title: ETL Testing Experience: 5-8 Years location: Chennai, Bangalore Employment Type: Full Time. J ob Type: Work from Office (Monday - Friday) Shift Timing: 12:30 PM to 9:30 PM Required Skills: Analytics skills to understand requirements to develop test cases, understand and manage data, strong SQL skills. Hands on testing of data pipelines built using Glue, S3, Redshift and Lambda, collaborate with developers to build automated testing where appropriate, understanding of data concepts like data lineage, data integrity and quality, experience testing financial data is a plus

Role & responsibilities CANDIDATES WITH IMMEDIATE NOTICE PERIOD AND BENGALURU LOCATIONS ONLY WILL BE CONSIDERED Preferred candidate profile R ole Overview: We are seeking an experienced Backend Integration Test Engineer to join our team. The ideal candidate will have a substantial background in backend integration testing, data validation, and ETL processes. The candidate will be responsible for ensuring the quality and reliability of our data integration processes through meticulous testing and validation. Key Responsibilities: Test Planning and Execution: Collaborate with ETL developers, data analysts, data engineers, and other stakeholders to understand data requirements and business rules. Develop detailed test documentation, including test plans, test cases, and test results. Execute ETL and data validation tests to ensure data accuracy and quality. Data Validation and Quality Assurance: Perform backend integration testing with a focus on data validation. Use SQL /Alteryx proficiently for data validation and testing. Design, develop, and maintain automated scripts for ETL and data validation using tools/frameworks like Alteryx and AFS Vision. Test Documentation: Prepare thorough documentation for test scripts, test data, and testing methodologies. Communicate test progress, results, and issues to stakeholders effectively. Collaboration and Communication: Participate in design reviews and provide input on the testability and quality aspects of data integration processes. Maintain excellent collaboration with team members and stakeholders through effective communication. Continuous Improvement: Stay updated with the latest trends and best practices in data validation and ETL testing. Continuously improve testing processes and methodologies. Qualifications: Experience: 4-7 years of experience in backend integration testing or a similar role. Technical Proficiency: Strong proficiency in SQL for data validation and testing. Practical experience with ETL and data validation automation using tools/frameworks like Alteryx and AFS Vision. ETL Knowledge: Strong knowledge of ETL tools (e.g., Informatica, Talend, SSIS) and data warehousing concepts. Proven experience in ETL testing, data validation, and data quality assurance. Data Visualization: Familiarity with data visualization tools (e.g., Power BI, Tableau) for data validation reporting. Analytical and Problem-Solving Skills: Strong analytical, problem-solving, and troubleshooting skills. Attention to detail and a commitment to data accuracy and quality. Communication Skills: Excellent verbal and written communication skills. Ability to effectively collaborate with team members and stakeholders. Preferred Skills: Agile Methodologies: Experience working in Agile/Scrum development environments. Cloud Platforms: Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.

Key Responsibilities: Data Testing Strategy & Execution: Design, develop, and execute comprehensive test plans and test cases for data-centric applications, ETL processes, data warehouses, data lakes, and reporting solutions. SQL-Driven Validation: Utilize advanced SQL queries to perform complex data validation, data reconciliation, data integrity checks, and data quality assurance across various financial data sources. ETL Testing: Conduct thorough testing of ETL (Extract, Transform, Load) processes, ensuring data is accurately extracted, transformed according to business rules, and loaded correctly into target systems. Data Quality Assurance: Implement and monitor data quality checks, identify data discrepancies, anomalies, and inconsistencies, and work with development and business teams to resolve issues. Performance Testing (Data Focus): Contribute to performance testing efforts for data pipelines and database operations, ensuring optimal query and data load performance. Test Data Management: Create and manage robust test data sets for various testing phases, including positive, negative, and edge case scenarios. Defect Management: Identify, document, track, and re-test defects in data, collaborating closely with development and data engineering teams for timely resolution. Documentation & Reporting: Maintain clear and concise documentation of test plans, test cases, test results, and data quality reports. Provide regular status updates to stakeholders. Collaboration: Work effectively with business analysts, data architects, data engineers, and project managers to understand data flows, business requirements, and ensure data quality standards are met. Process Improvement: Proactively identify opportunities for process improvements in data testing methodologies and tools. Global Team Collaboration: Provide consistent overlap with EST working hours (until noon EST) to facilitate effective communication and collaboration with US-based teams. Required Skills & Experience: Experience: 8-10 years of hands-on experience in Data Quality Assurance, Data Testing, or ETL Testing roles. SQL Expertise: o Advanced proficiency in SQL: Ability to write complex queries, subqueries, analytical functions (Window functions), CTEs, and stored procedures for data validation, reconciliation, and analysis. o Experience with various SQL databases (e.g., SQL Server, Oracle, PostgreSQL, MySQL, Snowflake, BigQuery). o Strong understanding of database concepts: normalization, indexing, primary/foreign keys, and data types. Data Testing Methodologies: Solid understanding of data warehousing concepts, ETL processes, and various data testing strategies (e.g., source-to-target mapping validation, data transformation testing, data load testing, data completeness, data accuracy). Domain Expertise: o Strong understanding and proven experience in Risk and Finance IT domain: Familiarity with financial data (e.g., trading data, market data, risk metrics, accounting data, regulatory reporting). o Knowledge of financial products, regulations, and risk management concepts. Analytical & Problem-Solving Skills: Excellent ability to analyze complex data sets, identify root causes of data issues, and propose effective solutions. Communication: Strong verbal and written communication skills to articulate data issues and collaborate with diverse teams. Mandatory Competencies ETL - ETL - Tester QA/QE - QA Automation - ETL Testing Database - PostgreSQL - PostgreSQL Beh - Communication Database - Sql Server - SQL Packages

5-8 years of experience in Data Testing using SQL Knowledge of Python is a plus Domain expertise in Risk and Finance IT Availability to provide overlap with EST hours (until noon EST) Mandatory Competencies ETL - ETL - Tester Beh - Communication QA/QE - QA Manual - Test Case Creation, Execution, Planning, Reporting with risks/dependencies

Critical Thinking Testing Concepts ETL Testing Python Experience Nice to Have API Understanding & Testing (Manual Automation) UI Automation (Able to identify UI elements programmatically. (This is for Selenium). Detailed Description : Critical Thinking - 5/5 High in logical reasoning and proactiveness Should come up with diverse test cases against requirements Testing Concepts - 5/5 Practice various test design techniques Clarity with priority and Severity Testing life cycle and defect management Understand regression v/s functional SQL/ETL/Batch - 4/5 Able to write SQL statements with aggregate functions and joins Understand data transformation Familiar with data loads and related validations Automation - 3/5 Should be able to solve a given problem programmatically Familiar with coding standards, version control, piepliens Able to identify UI elements programmatically API - 2/5 Understand how API works Various authorization mechanisms Validation of responses

Job Description for QA Engineer: 6 + years of experience in ETL Testing, Snowflake, DWH Concepts. Strong SQL knowledge & debugging skills are a must. Banking domain is mandatory Experience on Azure and Snowflake Testing is plus Experience with Qlik Replicate and Compose tools (Change Data Capture) tools is considered a plus Strong Data warehousing Concepts, ETL tools like Talend Cloud Data Integration, Pentaho/Kettle tool Experience in JIRA, Xray defect management toolis good to have. Exposure to the financial domain knowledge is considered a plus Testing the data-readiness (data quality) address code or data issues Demonstrated ability to rationalize problems and use judgment and innovation to define clear and concise solutions Demonstrate strong collaborative experience across regions (APAC, EMEA and NA) to effectively and efficiently identify root cause of code/data issues and come up with a permanent solution Prior experience with State Street and Charles River Development (CRD) considered a plus Experience in tools such as PowerPoint, Excel, SQL Exposure to Third party data providers such as Bloomberg, Reuters, MSCI and other Rating agencies is a plus

Walk-in Interview- 24th July (Thursday) Time: Morning Location: Hyderabad, Bangalore, Kolkata Immediate Joiners ONLY JD: Banking Domain minimum 5 years of exp Excellent in Database testing/ETL testing and SQLconcept All 5 days working from office (If required, support in delayed shift 1 to 10pm) Excellent in Database testing/ETL testing Strong in sql and ETL concepts Good in Communication and attitude The resource should be good with Testing Concepts Flexible to support extended hours on demand basis Willing to work from office (all 5 days a week in second shift)

Job Title: SQL Data Tester Work Timing: Over-lap US CST Hours Experience: 6+ years Location: India (Remote) Note: Manufacturing Industry is required. 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. 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. Share your Resume at asingh21@fcsltd.com

Job Location: Chennai, Bangalore, Pune, Mumbai Job Location WFO or Hybrid Hybrid Detailed Job Description:Azure Data Bricks, Azure Data Factory, SQL, ETL testing.They should have Testing / QA experience in these skills- Rate 1150/hr Must Required Skills in KEYWORDS: Strong experience in SQL along with performing Azure Data bricks Testing Shift Timings: 3:30 PM IST to 12:30 AM ISTAzure Data Bricks, Azure Data Factory, SQL, ETL testing.They should have Testing / QA experience in these skills- Rate 1150/hr

About US: Saama develops life science solutions that accelerate the delivery of therapies to patients. With innovative AI technologies, Saama drives breakthrough intelligence into clinical and commercial operations. The Saama platform powered the clinical trial that led to the worlds first COVID-19 vaccine. Headquartered in Campbell, CA, with employees around the globe, Saama is committed to helping customers save and improve lives. Discover more at saama.com . Job Title: ETL Tester Location:- Pune, Chennai or Coimbatore. Type: Fulltime Experience Level: 6+ About the Role: We are seeking a skilled ETL (Extract, Transform, Load) Tester to join our team. The ETL Tester will be responsible for ensuring the quality of data extraction, transformation, and loading processes within the data warehouse environment. The ideal candidate will have a strong understanding of ETL processes, experience with testing large datasets, and the ability to work closely with development and business intelligence teams to ensure the reliability and accuracy of data. Key Responsibilities: Understanding business requirements and ETL specifications to develop test plans and test cases. Executing test cases to ensure accurate extraction, transformation, and loading of data from source systems to the data warehouse. Verifying data integrity and accuracy throughout the ETL process. Identifying and reporting data quality issues and working with the development team to address them. Collaborating with business analysts, ETL developers, and other team members to ensure comprehensive testing coverage. Participating in cross-functional meetings to provide testing insights and contribute to process improvements. Documenting test results, issues, and resolution steps for future reference. Qualifications: Bachelors degree in Computer Science, Information Systems, or a related field. Proven experience in ETL testing, preferably in the insurance domain. Familiarity with ETL tools such as Informatica, Talend, or SSIS. Strong SQL skills for data validation and verification. Knowledge of data warehousing concepts and methodologies. Understanding of insurance industry processes, data models, and regulatory requirements. Ability to work effectively in a team environment and communicate complex technical concepts clearly. Why Saama? Saama Technologies specializes in cutting-edge data and analytics solutions, attracting professionals who are eager to work with the latest technology. The company fosters a collaborative and inclusive work culture, encouraging employees to share ideas and work together, thereby contributing to a positive workplace environment.