15 Informatica Testing Jobs

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

Perform ETL testing to verify data extraction, transformation, loading Validate data movement across systems, ensuring data consistency, quality Write complex SQL queries to validate data source, target Conduct data reconciliation, data profiling Required Candidate profile Collaborate with all Create and maintain test cases, test plans, and test reports Identify, log, and track defects and data issues Work with various DB systems (Oracle, SQL Server, PostgreSQL, etc.) Perks and benefits Perks and Benefits

The ETL Tester role involves working with relevant technologies, ensuring smooth operations, and contributing to business objectives. Responsibilities include analysis, development, implementation, and troubleshooting within the ETL Tester domain.

The ETL Tester role involves working with relevant technologies, ensuring smooth operations, and contributing to business objectives. Responsibilities include analysis, development, implementation, and troubleshooting within the ETL Tester domain.

The PL/SQL, BI Testing role involves working with relevant technologies, ensuring smooth operations, and contributing to business objectives. Responsibilities include analysis, development, implementation, and troubleshooting within the PL/SQL, BI Testing domain.

The PostgreSQL, Test Automation, BI Testing role involves working with relevant technologies, ensuring smooth operations, and contributing to business objectives. Responsibilities include analysis, development, implementation, and troubleshooting within the PostgreSQL, Test Automation, BI Testing domain.

The ETL Tester role involves working with relevant technologies, ensuring smooth operations, and contributing to business objectives. Responsibilities include analysis, development, implementation, and troubleshooting within the ETL Tester domain.

Role & responsibilities Lead and manage a team of QA testers for ETL, data warehouse, and BI report testing. 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. Preferred candidate profile Bachelors degree in Computer Science, Information Systems, or a related field. 5+ 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. Hands-on experience in automating data validation using scripting languages like Python or tools like dbt. Familiarity with Big Data tools like Apache Spark, Hive, or Kafka. ISTQB certification or similar QA certifications. Working knowledge of CI/CD pipelines and integration of automated data tests. Experience with data governance, security, and compliance practices. Perks and benefits Training in Databricks. Training and certification in Thoughtspot. Support on certifications. Hands-on AWS, Azure, and GCP. Support you on any cloud certification. Build leadership skills.

Greetings!! Immediate hiring for ETL testing!! Role : ETL Tester Exp: 5 - 7 Years Notice: Immediate Location : Chennai(Preferred) / bangalore/ Kochi Immediate joiners share cv to safoora.imthiyas@aspiresys.com / call on 9384788107 JD: Job Summary: We are seeking a highly skilled ETL Testing - Software Engineer with 5 to 6 years of experience to join our dynamic team. The ideal candidate will have proficient knowledge in SSIS, SSRS, SQL, MS SQL Server and knowledge of Azure Databricks. This role involves ensuring the quality and reliability of ETL processes and data integration solutions. Key Responsibilities: ETL Testing: Design, develop, and execute ETL test plans and test cases to ensure data accuracy, completeness, and integrity. SSRS Reporting: Validate the BI Reports using complex SQL Queries SQL Proficiency: Write complex SQL queries for data validation, testing, and troubleshooting. Azure Databricks: Apply basic knowledge of Azure Databricks for data processing and analytics. Data Quality Assurance: Perform data validation and verification to ensure data quality and consistency across various systems. Defect Management: Identify, document, and track defects using appropriate tools such as JIRA and methodologies. Collaboration: Work closely with developers, business analysts, and other stakeholders to understand requirements and ensure comprehensive testing coverage. Documentation: Create and maintain detailed documentation of test cases, test results, and testing processes. Required Skills and Qualifications: Proficient in SSIS /SSRS/SQL skills for writing and optimizing queries. Sound knowledge of Azure Databricks. Strong analytical and problem-solving skills to identify issues and ensure data accuracy. Attention to Detail: High attention to detail and commitment to delivering high-quality work. Communication: Excellent verbal and written communication skills. Team Player: Ability to work effectively in a team environment and collaborate with cross-functional teams. Experience: Previous experience in a similar role within the Insurance sector.