7+ years property insurance experience with 5+ years’ experience in management of mid-level professional teams or similar leadership position with a focus on data and/or performance management. Extensive experience in applying and/or developing performance management metrics for claims organizations. Bachelor’s degree in computer science, data science, statistics, or a related field is preferred. Mastery level knowledge of data analysis tools such as Excel, Tableau or Power BI. Demonstrated expertise in Power BI creating reports and dashboards, including the ability to connect to various data sources, prepare and model data, and create visualizations. Expert knowledge of DAX for creating calculated columns and measures to meet report-specific requirements. Expert knowledge of Power Query for importing, transforming, and shaping data. Proficiency in SQL with the ability to write complex queries and optimize performance. Strong knowledge of ETL processes, data pipeline and automation a plus. Proficiency in managing tasks with Jira is an advantage. Strong analytical and problem-solving skills. Excellent attention to detail and the ability to work with large datasets. Effective communication skills, both written and verbal. Excellent visual communications and storytelling with data skills. Ability to work independently and collaborate in a team environment.

Job QualificationsJob Qualifications Bachelors degree in Computer Science, Software Engineering, or a related field. Mandatory - 7 + years of working proficiency test automation frameworks and tools (e.g., Selenium, ReadyApi, JMeter, Azure Load Testing). Required - Proficiency in at least one language (e.g., .Net , Java) for writing automation scripts. Required - Proven experience as a Senior QA Engineer, preferably in a software development environment. Required - Strong understanding of software testing methodologies, tools, and processes. Required - Experience with Postman for API testing. Required - Experience with relational database testing and design. Nice to HAVE - Experience with Cloud platforms such as Google Cloud Platform or Azure. Required - Familiarity with version control systems (e.g., Git, SVN). Excellent analytical and problem-solving skills. Strong attention to detail and ability to effectively prioritize and manage multiple tasks. Excellent written and verbal communication skills.

QA Automation Engineer As a QA Automation Engineer specializing in Data Warehousing, you will play a critical role in ensuring that our data solutions are of the highest quality. You will work closely with data engineers and analysts to develop, implement, and maintain automated testing frameworks for data validation, ETL processes, data quality, and integration. Your work will ensure that data is accurate, consistent, and performs optimally across our data warehouse systems. Responsibilities Develop and Implement Automation Frameworks : Design, build, and maintain scalable test automation frameworks tailored for data warehousing environments. Test Strategy and Execution : Define and execute automated test strategies for ETL processes, data pipelines, and database integration across a variety of data sources. Data Validation : Implement automated tests to validate data consistency, accuracy, completeness, and transformation logic. Performance Testing : Ensure that the data warehouse systems meet performance benchmarks through automation tools and load testing strategies. Collaborate with Teams : Work closely with data engineers, software developers, and data analysts to understand business requirements and design tests accordingly. Continuous Integration : Integrate automated tests into the CI/CD pipelines, ensuring that testing is part of the deployment process. Defect Tracking and Reporting : Use defect-tracking tools (e.g., JIRA) to log and track issues found during automated testing, ensuring that defects are resolved in a timely manner. Test Data Management : Develop strategies for handling large volumes of test data while maintaining data security and privacy. Tool and Technology Evaluation : Stay current with emerging trends in automation testing for data warehousing and recommend tools, frameworks, and best practices. Job QualificationsJob QualificationsRequirements and skills • At Least 4+ Years Experience Solid understanding of data warehousing concepts (ETL, OLAP, data marts, data vault,star/snowflake schemas, etc.). • Proven experience in building and maintaining automation frameworks using tools like Python, Java, or similar, with a focus on database and ETL testing. • Strong knowledge of SQL for writing complex queries to validate data, test data pipelines, and check transformations. • Experience with ETL tools (e.g., Matillion, Qlik Replicate) and their testing processes. • Performance Testing • Experience with version control systems like Git • Strong analytical and problem-solving skills, with the ability to troubleshoot complex data issues. • Strong communication and collaboration skills. • Attention to detail and a passion for delivering high-quality solutions. • Ability to work in a fast-paced environment and manage multiple priorities. • Enthusiastic about learning new technologies and frameworks. Experience with the following tools and technologies are desired. QLIK Replicate Matillion ETL Snowflake Data Vault Warehouse Design Power BI Azure Cloud Including Logic App, Azure Functions, ADF

Job QualificationsJob Qualifications Bachelors degree in Computer Science, Software Engineering, or a related field. Mandatory - 7 + years of working proficiency test automation frameworks and tools (e.g., Selenium, ReadyApi, JMeter, Azure Load Testing). Required - Proficiency in at least one language (e.g., .Net , Java) for writing automation scripts. Required - Proven experience as a Senior QA Engineer, preferably in a software development environment. Required - Strong understanding of software testing methodologies, tools, and processes. Required - Experience with Postman for API testing. Required - Experience with relational database testing and design. Nice to HAVE - Experience with Cloud platforms such as Google Cloud Platform or Azure. Required - Familiarity with version control systems (e.g., Git, SVN). Excellent analytical and problem-solving skills. Strong attention to detail and ability to effectively prioritize and manage multiple tasks. Excellent written and verbal communication skills

Job DescriptionJob Description • Test Planning and Strategy: • Develop and implement comprehensive test plans and strategies based on project requirements and specifications. • Collaborate with cross-functional teams to identify test scenarios and prioritize testing efforts. • Define test objectives, scope, and deliverables for each project. • Test Execution: • Design and execute test plans to verify software functionality, performance, and usability. • Introduce test automation for application workflows. • Monitor and analyze test results, identify defects, and track them using bug tracking systems. • Collaborate with developers to troubleshoot and resolve identified issues. •Continuous Improvement: • Stay up to date with industry trends, tools, and best practices in software testing and quality assurance. • Propose and implement process improvements to enhance the efficiency and effectiveness of testing efforts. • Participate in code reviews and provide feedback on software design and architecture to improve testability and maintainability. • Documentation and Reporting: • Create and maintain detailed test documentation, including test plans, test cases, and test scripts. • Generate regular reports on testing progress, test coverage, and defect metrics. • Communicate testing results, issues, and risks to stakeholders in a clear and concise manner Job QualificationsJob Qualifications • Bachelors degree in Computer Science, Software Engineering, or a related field. • Proven experience as a QA Engineer or Software Tester, preferably in a software development environment. • Strong understanding of software testing methodologies, tools, and processes. • Strong experience in automated testing for Java Swing GUI • Proficient in Postman for API testing • 2+ years experience writing SQL statements for database level testing. Solid knowledge of SQL and relational databases. • Experience with Cloud platforms such as Google Cloud Platform • Familiarity with version control systems • Excellent analytical and problem-solving skills. • Strong attention to detail and ability to effectively prioritize and manage multiple tasks. • Excellent written and verbal communication skills.

Job Description Diagnose model performance issues; research, implement and test alternative options; prepare analyses; and deploy solutions. Conduct complex statistical analyses of real estate, mortgage, and insurance related data. Apply machine learning and data mining techniques to discover patterns from large and complex datasets. Make forecasts and predictions based on modeling and analysis of multiple economic and human factors. Prepare and maintain programs and documentation for models. Perform modeling and analysis using various data mining, machine learning, statistical, and mathematical techniques. Drive the re-engineering of current production models and their prototypes as needed. Lead and manage quantitative and qualitative research projects independently. Assess and communicate research results to internal stakeholders. Understand business requirements and conceptualize analytic solutions to those business problems. Regularly engage cross functional teams to research, define, and implement analytic solutions within a broad business function. Troubleshoot and drive solutions on a wide variety of highly complex problems. Research and test GenAI best practices and solutions for emerging issues, as appropriate. Job Qualifications Masters degree in Economics, Mathematics, Computer Science, Data Science, Machine Learning, Statistics, Physics or related field. At least 8 years industry or academic experience in AI, machine learning techniques, data mining, statistical modeling and/or pattern recognition model building for clients on real world problems Proficiency in network analysis and graph theory is a plus Experience building and maintaining models in a cloud environment Proficiency in at least one of the following programming languages: Python, Java, R, C++, Scala Must have big data expertise, such as Spark, Hadoop, Hive, etc. Experience integrating GenAI into production solutions a plus. Team player, willing to assist and jump into a project at any point as needed Detail oriented; strong presentation skills, experienced with client interaction. Ability to communicate effectively and in a professional manner to key stakeholders and explain business needs to technical personnel. Solid interpersonal skills. Must be able to communicate clearly to partners and colleagues verbally and in written form. Able to manage multiple, complex projects simultaneously. Able to effectively present analytic insights and modeling techniques internally and externally.

Experience Aplenty: 8+ years of hands-on experience in applicable software development environments, showcasing your prowess and ability to excel. Educational Symphony: A Bachelor's degree is strongly preferred, demonstrating your commitment to continuous learning and growth. Tech Savvy: Should have demonstrated experience in Cloud environments like AWS, GCP, or Azure. Comparable knowledge of tools like Azure Pipelines, BigQuery, MFT, Vault, SSIS, SSRS, SQL, & Google DataFlow. Workflow management and orchestration tools such as Airflow. Experience with object function/object-oriented scripting languages including Java and Python. Working knowledge of Snowflake and Google DataFlow a definite plus! Business Acumen: Translate business needs into technical requirements with finesse, showcasing your ability to balance technical excellence with customer satisfaction. Team Player: Collaborate seamlessly with the team, responding to requests in a timely manner, meeting individual commitments, and contributing to the collective success. Mentor Extraordinaire: Leverage your coaching and teaching skills to guide and mentor your fellow team members, fostering an environment of continuous improvement. Please apply here also- https://corelogic.wd5.myworkdayjobs.com/ACQ/job/Noida-Uttar-Pradesh/Lead-Data-Engineer_REQ15827

Experience Aplenty: 10+ years of hands-on experience in applicable software development environments, showcasing your prowess and ability to excel. Educational Symphony: A Bachelor's degree is strongly preferred, demonstrating your commitment to continuous learning and growth. Tech Savvy: Should have demonstrated experience in Cloud environments like AWS, GCP, or Azure. Comparable knowledge of tools like Azure Pipelines, BigQuery, MFT, Vault, SSIS, SSRS, SQL, & Google DataFlow. Workflow management and orchestration tools such as Airflow. Experience with object function/object-oriented scripting languages including Java and Python. Working knowledge of Snowflake and Google DataFlow a definite plus! Business Acumen: Translate business needs into technical requirements with finesse, showcasing your ability to balance technical excellence with customer satisfaction. Team Player: Collaborate seamlessly with the team, responding to requests in a timely manner, meeting individual commitments, and contributing to the collective success. Mentor Extraordinaire: Leverage your coaching and teaching skills to guide and mentor your fellow team members, fostering an environment of continuous improvement. Please apply here also- https://corelogic.wd5.myworkdayjobs.com/ACQ/job/Noida-Uttar-Pradesh/Lead-Data-Engineer_REQ15827

At least 6+ years of software development experience BS/MS in computer science or equivalent work experience. Strong Object-Oriented Programming concepts. Experience with Java, Spring Boot, Angular, RESTful API Experience with Cloud Services; Google Cloud preferred Experience in web development model with hands on experience developing products leveraging UI technology stacks like JavaScript/Angular or equivalent Experience with Google Cloud, cloud deployment and DevOps mindset. Familiarity with CI/CD automations and tools Familiarity with Infrastructure as code tool such as Terraform Knowledge of both relational (PostgreSQL) and NoSQL(DynamoDB and/or ElasticSearch) database technologies Knowledge of build pipelines (Jenkins preferred) Experience with Version control systems such as Git (BitBucket or Github preferred) Please apply on Workday link below - https://corelogic.wd5.myworkdayjobs.com/ACQ/job/Noida-Uttar-Pradesh/Senior-Software-Engineer---Java---Full-stack_REQ16996

Job DescriptionJob Description • Test Planning and Strategy: • Develop and implement comprehensive test plans and strategies based on project requirements and specifications. • Collaborate with cross-functional teams to identify test scenarios and prioritize testing efforts. • Define test objectives, scope, and deliverables for each project. • Test Execution: • Design and execute test plans to verify software functionality, performance, and usability. • Introduce test automation for application workflows. • Monitor and analyze test results, identify defects, and track them using bug tracking systems. • Collaborate with developers to troubleshoot and resolve identified issues. •Continuous Improvement: • Stay up to date with industry trends, tools, and best practices in software testing and quality assurance. • Propose and implement process improvements to enhance the efficiency and effectiveness of testing efforts. • Participate in code reviews and provide feedback on software design and architecture to improve testability and maintainability. • Documentation and Reporting: • Create and maintain detailed test documentation, including test plans, test cases, and test scripts. • Generate regular reports on testing progress, test coverage, and defect metrics. • Communicate testing results, issues, and risks to stakeholders in a clear and concise manner Job QualificationsJob Qualifications • Bachelors degree in Computer Science, Software Engineering, or a related field. • Proven experience as a QA Engineer or Software Tester, preferably in a software development environment. • Strong understanding of software testing methodologies, tools, and processes. • Strong experience in automated testing for Java Swing GUI • Proficient in Postman for API testing • 2+ years experience writing SQL statements for database level testing. Solid knowledge of SQL and relational databases. • Experience with Cloud platforms such as Google Cloud Platform • Familiarity with version control systems • Excellent analytical and problem-solving skills. • Strong attention to detail and ability to effectively prioritize and manage multiple tasks. • Excellent written and verbal communication skills.

QA Automation Engineer As a Senior QA Automation Engineer specializing in Data Warehousing, you will play a critical role in ensuring that our data solutions are of the highest quality. You will work closely with data engineers and analysts to develop, implement, and maintain automated testing frameworks for data validation, ETL processes, data quality, and integration. Your work will ensure that data is accurate, consistent, and performs optimally across our data warehouse systems. Responsibilities Develop and Implement Automation Frameworks : Design, build, and maintain scalable test automation frameworks tailored for data warehousing environments. Test Strategy and Execution : Define and execute automated test strategies for ETL processes, data pipelines, and database integration across a variety of data sources. Data Validation : Implement automated tests to validate data consistency, accuracy, completeness, and transformation logic. Performance Testing : Ensure that the data warehouse systems meet performance benchmarks through automation tools and load testing strategies. Collaborate with Teams : Work closely with data engineers, software developers, and data analysts to understand business requirements and design tests accordingly. Continuous Integration : Integrate automated tests into the CI/CD pipelines, ensuring that testing is part of the deployment process. Defect Tracking and Reporting : Use defect-tracking tools (e.g., JIRA) to log and track issues found during automated testing, ensuring that defects are resolved in a timely manner. Test Data Management : Develop strategies for handling large volumes of test data while maintaining data security and privacy. Tool and Technology Evaluation : Stay current with emerging trends in automation testing for data warehousing and recommend tools, frameworks, and best practices. Job QualificationsJob QualificationsRequirements and skills • At Least 6+ Years Experience Solid understanding of data warehousing concepts (ETL, OLAP, data marts, data vault,star/snowflake schemas, etc.). • Proven experience in building and maintaining automation frameworks using tools like Python, Java, or similar, with a focus on database and ETL testing. • Strong knowledge of SQL for writing complex queries to validate data, test data pipelines, and check transformations. • Experience with ETL tools (e.g., Matillion, Qlik Replicate) and their testing processes. • Performance Testing • Experience with version control systems like Git • Strong analytical and problem-solving skills, with the ability to troubleshoot complex data issues. • Strong communication and collaboration skills. • Attention to detail and a passion for delivering high-quality solutions. • Ability to work in a fast-paced environment and manage multiple priorities. • Enthusiastic about learning new technologies and frameworks. Experience with the following tools and technologies are desired. QLIK Replicate Matillion ETL Snowflake Data Vault Warehouse Design Power BI Azure Cloud Including Logic App, Azure Functions, ADF

Candidate Profile and Qualifications The successful candidate will be an analytical thinker who is self-motivated and driven to own issues and see them through to resolution.He/She/Theywill have a strong understanding of web and mobile application functionality and be able to quickly learn applications to create comprehensive and thoughtful test scenarios. The candidate should be excited about developing, documenting, and executing tests to ensure the delivery of a quality business application software product. Experience in quality engineering / software testing of web and mobile applications Experience with Agile/scrum methodologies Experience with automation testing preferred, particularly using Cypress, Postman, ReadyAPI, and Swagger Bachelors degree in Computer Science, Computer Engineering or a software related discipline or equivalent experience is preferred Excellent written and oral communication skills The ability to adapt quickly to a fast-paced environment A critical thinker that seeks new ideas, and has strong problem-solving skills The ability to rapidly triage technical issues Strong ownership mentality Ability to understand/translate business needs into appropriate testing of software solutions Ability to decompose internal and customer requirements into detailed test cases for functional and regression test execution Ability to provide occasional after-hours test and/or deployment support Strong organizational, planning, and analytical skills The ability to manage multiple priorities and projects simultaneously