2346 Data Validation Jobs - Page 16

The resource shall have at least 4 to 5 years of hands-on development experience using Alteryx, creating workflows and scheduling them. Shall be responsible for design, development, validation, and troubleshooting the ETL workflows using data from multiple source systems and transforming them in Alteryx for consumption by various PwC developed solutions. Alteryx workflow automation is another task that will come the way. Should have prior experience in maintaining documentation like design documents, mapping logic and technical specifications.

The resource shall have at least 4 to 5 years of hands-on development experience using Alteryx, creating workflows and scheduling them. Shall be responsible for design, development, validation, and troubleshooting the ETL workflows using data from multiple source systems and transforming them in Alteryx for consumption by various PwC developed solutions. Alteryx workflow automation is another task that will come the way. Should have prior experience in maintaining documentation like design documents, mapping logic and technical specifications.

The resource shall have at least 4 to 5 years of hands-on development experience using Alteryx, creating workflows and scheduling them. Shall be responsible for design, development, validation, and troubleshooting the ETL workflows using data from multiple source systems and transforming them in Alteryx for consumption by various PwC developed solutions. Alteryx workflow automation is another task that will come the way. Should have prior experience in maintaining documentation like design documents, mapping logic and technical specifications.

The resource shall have at least 4 to 5 years of hands-on development experience using Alteryx, creating workflows and scheduling them. Shall be responsible for design, development, validation, and troubleshooting the ETL workflows using data from multiple source systems and transforming them in Alteryx for consumption by various PwC developed solutions. Alteryx workflow automation is another task that will come the way. Should have prior experience in maintaining documentation like design documents, mapping logic and technical specifications.

The resource shall have at least 4 to 5 years of hands-on development experience using Alteryx, creating workflows and scheduling them. Shall be responsible for design, development, validation, and troubleshooting the ETL workflows using data from multiple source systems and transforming them in Alteryx for consumption by various PwC developed solutions. Alteryx workflow automation is another task that will come the way. Should have prior experience in maintaining documentation like design documents, mapping logic and technical specifications.

The resource shall have at least 4 to 5 years of hands-on development experience using Alteryx, creating workflows and scheduling them. Shall be responsible for design, development, validation, and troubleshooting the ETL workflows using data from multiple source systems and transforming them in Alteryx for consumption by various PwC developed solutions. Alteryx workflow automation is another task that will come the way. Should have prior experience in maintaining documentation like design documents, mapping logic and technical specifications.

The resource shall have at least 4 to 5 years of hands-on development experience using Alteryx, creating workflows and scheduling them. Shall be responsible for design, development, validation, and troubleshooting the ETL workflows using data from multiple source systems and transforming them in Alteryx for consumption by various PwC developed solutions. Alteryx workflow automation is another task that will come the way. Should have prior experience in maintaining documentation like design documents, mapping logic and technical specifications.

The resource shall have at least 4 to 5 years of hands-on development experience using Alteryx, creating workflows and scheduling them. Shall be responsible for design, development, validation, and troubleshooting the ETL workflows using data from multiple source systems and transforming them in Alteryx for consumption by various PwC developed solutions. Alteryx workflow automation is another task that will come the way. Should have prior experience in maintaining documentation like design documents, mapping logic and technical specifications.

The resource shall have at least 4 to 5 years of hands-on development experience using Alteryx, creating workflows and scheduling them. Shall be responsible for design, development, validation, and troubleshooting the ETL workflows using data from multiple source systems and transforming them in Alteryx for consumption by various PwC developed solutions. Alteryx workflow automation is another task that will come the way. Should have prior experience in maintaining documentation like design documents, mapping logic and technical specifications.

The resource shall have at least 4 to 5 years of hands-on development experience using Alteryx, creating workflows and scheduling them. Shall be responsible for design, development, validation, and troubleshooting the ETL workflows using data from multiple source systems and transforming them in Alteryx for consumption by various PwC developed solutions. Alteryx workflow automation is another task that will come the way. Should have prior experience in maintaining documentation like design documents, mapping logic and technical specifications.

The resource shall have at least 4 to 5 years of hands-on development experience using Alteryx, creating workflows and scheduling them. Shall be responsible for design, development, validation, and troubleshooting the ETL workflows using data from multiple source systems and transforming them in Alteryx for consumption by various PwC developed solutions. Alteryx workflow automation is another task that will come the way. Should have prior experience in maintaining documentation like design documents, mapping logic and technical specifications.

The resource shall have at least 4 to 5 years of hands-on development experience using Alteryx, creating workflows and scheduling them. Shall be responsible for design, development, validation, and troubleshooting the ETL workflows using data from multiple source systems and transforming them in Alteryx for consumption by various PwC developed solutions. Alteryx workflow automation is another task that will come the way. Should have prior experience in maintaining documentation like design documents, mapping logic and technical specifications.

The resource shall have at least 4 to 5 years of hands-on development experience using Alteryx, creating workflows and scheduling them. Shall be responsible for design, development, validation, and troubleshooting the ETL workflows using data from multiple source systems and transforming them in Alteryx for consumption by various PwC developed solutions. Alteryx workflow automation is another task that will come the way. Should have prior experience in maintaining documentation like design documents, mapping logic and technical specifications.

The resource shall have at least 4 to 5 years of hands-on development experience using Alteryx, creating workflows and scheduling them. Shall be responsible for design, development, validation, and troubleshooting the ETL workflows using data from multiple source systems and transforming them in Alteryx for consumption by various PwC developed solutions. Alteryx workflow automation is another task that will come the way. Should have prior experience in maintaining documentation like design documents, mapping logic and technical specifications.

We are looking for a skilled professional to join our team as an Operations & Strategy Role in Hevo Data, located in [location to be specified]. The ideal candidate will have 2-5 years of experience and a strong background in operations and strategy. Roles and Responsibility Develop and implement operational strategies to achieve business objectives. Analyze data to identify trends and areas for improvement. Collaborate with cross-functional teams to drive process improvements. Design and implement new processes and procedures to enhance efficiency. Monitor and report on key performance indicators to stakeholders. Identify and mitigate risks to ensure compliance with regulatory requirements. Job Requirements Strong understanding of operations and strategy principles. Excellent analytical and problem-solving skills. Ability to work collaboratively with cross-functional teams. Strong communication and interpersonal skills. Experience with data analysis and interpretation. Ability to adapt to changing priorities and deadlines.

You are a strategic thinker passionate about driving solutions in Data Annotation and Validation. You have found the right team. As a Data Analyst within our Asset Management Data Science team, you will be responsible for setting and improving our organizational objectives, and ensuring their consistent accomplishment. Job Responsibilities Work on data labeling tools and annotate data for machine learning models. Sift through structured and unstructured data; identify the right content and annotate with the right label. Develop comprehensive test plans and strategies for data science projects, including data validation, model testing, and performance evaluation. Collaborate with stakeholders, including data scientists, data engineers, and product managers. Conduct thorough data validation and verification processes to ensure data accuracy and consistency. Design and execute test cases for models, ensuring they meet performance and accuracy standards. Validate model outputs and conduct regression testing to ensure consistent results. Utilize tools like Snorkel, Datasaur, and Apptek for model performance monitoring, data labeling, and speech annotation. Develop and maintain automated testing scripts and tools to streamline the QA process. Implement continuous integration and continuous deployment (CI/CD) practices for data science projects. Transcribe verbatim audio recordings, single and multi-speaker of varying dialects and accents, and identify relevant keywords and sentiment labels. Build a thorough understanding of data annotation and labeling conventions and develop documentation/guidelines for stakeholders and business partners Required qualifications, capabilities, and skills At least 5 years of hands-on experience in data collection, analysis, or research. Proven experience in data quality assurance, data management, or a similar role. Experience in Python programming. Proficiency in data querying and validation using SQL, with experience in Snowflake . Experience in constructing dashboards to effectively visualize and communicate data insights. Experience with data annotation, labeling, entity disambiguation, and data enrichment. Familiarity with industry-standard annotation and labeling methods and tools like Label Studio, Snorkel, Datasaur, and Apptek. Familiarity with Machine learning and AI paradigms such as text classification, entity recognition, information retrieval. Creative and disruptive, loves embracing the challenge of rigorous testing to uncover vulnerabilities and enhance system robustness. Understanding of data governance principles and practices. Preferred qualifications, capabilities, and skills Strong financial knowledge is preferred. Familiarity with Machine learning and AI paradigms such as text classification, entity recognition, information retrieval. Strong financial knowledge is preferred. You are a strategic thinker passionate about driving solutions in Data Annotation and Validation. You have found the right team. As a Data Analyst within our Asset Management Data Science team, you will be responsible for setting and improving our organizational objectives, and ensuring their consistent accomplishment. Job Responsibilities Work on data labeling tools and annotate data for machine learning models. Sift through structured and unstructured data; identify the right content and annotate with the right label. Develop comprehensive test plans and strategies for data science projects, including data validation, model testing, and performance evaluation. Collaborate with stakeholders, including data scientists, data engineers, and product managers. Conduct thorough data validation and verification processes to ensure data accuracy and consistency. Design and execute test cases for models, ensuring they meet performance and accuracy standards. Validate model outputs and conduct regression testing to ensure consistent results. Utilize tools like Snorkel, Datasaur, and Apptek for model performance monitoring, data labeling, and speech annotation. Develop and maintain automated testing scripts and tools to streamline the QA process. Implement continuous integration and continuous deployment (CI/CD) practices for data science projects. Transcribe verbatim audio recordings, single and multi-speaker of varying dialects and accents, and identify relevant keywords and sentiment labels. Build a thorough understanding of data annotation and labeling conventions and develop documentation/guidelines for stakeholders and business partners Required qualifications, capabilities, and skills At least 5 years of hands-on experience in data collection, analysis, or research. Proven experience in data quality assurance, data management, or a similar role. Experience in Python programming. Proficiency in data querying and validation using SQL, with experience in Snowflake . Experience in constructing dashboards to effectively visualize and communicate data insights. Experience with data annotation, labeling, entity disambiguation, and data enrichment. Familiarity with industry-standard annotation and labeling methods and tools like Label Studio, Snorkel, Datasaur, and Apptek. Familiarity with Machine learning and AI paradigms such as text classification, entity recognition, information retrieval. Creative and disruptive, loves embracing the challenge of rigorous testing to uncover vulnerabilities and enhance system robustness. Understanding of data governance principles and practices. Preferred qualifications, capabilities, and skills Strong financial knowledge is preferred. Familiarity with Machine learning and AI paradigms such as text classification, entity recognition, information retrieval. Strong financial knowledge is preferred.

Roles and Responsibility Develop and implement comprehensive test plans to ensure high-quality software products. Collaborate with cross-functional teams to identify and prioritize testing requirements. Design and execute automated tests using various tools and technologies. Analyze and report defects found during testing, working with development teams to resolve issues. Participate in agile development methodologies, providing feedback on product quality and suggesting improvements. Stay up-to-date with industry trends and emerging technologies in QA engineering. Job Requirements Strong understanding of software testing principles, methodologies, and best practices. Experience with automation testing tools and technologies, such as Selenium or Appium. Excellent problem-solving skills, with the ability to analyze complex issues and provide creative solutions. Strong communication and collaboration skills, with experience working with distributed teams. Ability to work in an agile environment, prioritizing tasks and managing multiple projects simultaneously. Strong attention to detail, with a focus on delivering high-quality results.

Data Gathering and Analysis: Collect and organize data from multiple sources, ensuring data quality and integrity Analyse large datasets to identify trends, patterns, and insights Reporting and Visualization: Prepare reports, dashboards, and data visualizations to present findings and recommendations to stakeholders effectively Data Quality Assurance: Implement data validation and cleansing processes to ensure accuracy and reliability of data Collaborate with IT Teams: Work closely with IT professionals to understand data infrastructure, data governance policies, and ensure data security and privacy standards are met Problem Solving: Use analytical skills and critical thinking to identify and solve complex business problems through data analysis Educational Qualification A bachelors degree in a relevant field such as computer science, information technology, mathematics, statistics, or a related discipline is typically required

Requires substantial experience configuring and managing data archiving processes within SAP environments including hands-on experience in data archiving, including: configuring archiving objects executing data deletion optimising archiving processes Experience with ECC and S/4 HANA Understanding of data validation and compliance requirements. Basic understanding of ABAP code and debugging experience Excellent interpersonal, analytical and problem-solving skills.

Python Developer Intern - OneData Software Solutions Internship: 3 Months (First 2 Months Unpaid, 3rd Month Stipend Based on Performance) We are looking for a motivated and detail-oriented Python Developer Intern to join our development team. This internship is ideal for freshers who want to gain real-world experience in Django and REST API development. You ll work on backend systems that involve role-based access control, model relationships, and test-driven development. Build and maintain RESTful APIs using Django REST Framework Implement role-based permissions and access control logic Write unit tests to validate functionality and ensure code quality Collaborate with team members, follow structured version control using Git & GitHub Document the project clearly using README and requirements.txt Strong foundation in Python and Django Experience with Django REST Framework (DRF) Familiarity with database relationships and model design Understanding of RBAC (Role-Based Access Control) Ability to write and maintain automated test cases Proficiency with Git, GitHub, GitLab and clean code practices Good understanding of API structures, status codes, and data validation Bachelor s degree in B.E/B.Tech/MCA or a related field. Must be available for full-time onsite internship in Coimbatore Eager to learn and grow in a fast-paced environment. Our Culture We foster a collaborative, inclusive, and innovative culture where employees can thrive. We believe in empowering our team members to take ownership of their work and contribute to the company s success. Great Co-Workers Work with some of the best talent in the industry and build strong networks with them. Medical Insurance Enjoy benefits that support your overall well-being. Career Growth Unlock opportunities for advancement and leadership.knowledge to kickstart your career. At OneData , we re building a team of talented individuals who share our vision of creating innovative solutions that transform industries. We offer a dynamic work environment, opportunities for growth, and the chance to collaborate on

5+ Years of IT experience on Salesforce Service Cloud and Data Migration. Salesforce Sales Cloud / Service Cloud Data Validation Automation Flow/Approval Process Reports and Dashboard User Management Development Apex/Lightning Component etc Data Migration

Role Overview As a Specialist Data/AI Engineer QA at AT&T, you will be responsible for ensuring the quality, reliability, and performance of data pipelines, AI models, and analytics solutions. You will design and execute comprehensive testing strategies for data and AI systems, including validation of data integrity, model accuracy, and system scalability. Your role is critical to delivering robust, production-ready AI and data solutions that meet AT&T s high standards. Key Responsibilities Develop and implement QA frameworks, test plans, and automated testing scripts for data pipelines and AI/ML models. Validate data quality, consistency, and accuracy across ingestion, transformation, and storage processes. Test AI/ML model performance including accuracy, bias, robustness, and drift detection. Utilize cloud platforms (AWS, Azure, GCP) and modern data technologies (e.g., Snowflake, Databricks, Kafka) to manage large-scale data workflows. Collaborate with data engineers, data scientists, and product teams to identify test requirements and ensure comprehensive coverage. Perform regression, integration, system, and performance testing on data and AI workflows. Automate testing processes using appropriate tools and frameworks to enable continuous testing in CI/CD pipelines. Monitor production systems to detect issues proactively and support root cause analysis for defects or anomalies. Document test results, defects, and quality metrics, communicating findings to technical and non-technical stakeholders. Advocate for quality best practices and contribute to improving testing methodologies across the CDO. Stay current with industry trends and emerging tools in data engineering, AI, and QA automation. Qualifications Required: Bachelor s or Master s degree in Computer Science, Engineering, Data Science, or a related field. Experience in quality assurance or testing roles focused on data engineering, AI, or machine learning systems. Proficiency in programming and scripting languages such as Python, SQL, and experience with test automation frameworks. Strong understanding of data pipelines, ETL/ELT processes, and data validation techniques. Familiarity with machine learning concepts and model evaluation metrics. Experience with cloud platforms (AWS, Azure, GCP) and data platforms (Snowflake, Databricks) is preferred. Knowledge of CI/CD tools and integration of automated testing within deployment pipelines. Excellent analytical, problem-solving, and communication skills. Preferred: Experience with AI/ML model testing frameworks and bias/fairness testing. Familiarity with containerization (Docker) and orchestration (Kubernetes) environments. Understanding of data governance, compliance, and responsible AI principles. Experience with real-time data streaming and testing associated workflows. #DataEngineering Location: IND:AP:Hyderabad / Argus Bldg 4f & 5f, Sattva, Knowledge City- Adm: Argus Building, Sattva, Knowledge City Job ID R-75360 Date posted 07/18/2025

Key Responsibilities:Design, develop, and maintain advanced dashboards and reports in Tableau that provide insights into user engagement, product performance, and business metrics.Utilize Databricks to process, clean, and analyze large volumes of data efficiently.Develop complex SQL queries and optimize data pipelines for analytics workflows.Collaborate with cross-functional teams to define key metrics, data requirements, and analytical approaches.Conduct deep-dive analyses and present findings with clear data storytelling to influence product and business strategies.Automate routine reporting and data validation tasks to ensure accuracy and timeliness.Mentor junior analysts and promote best practices in data visualization and analytics.Stay current with latest trends and tools in data analytics, visualization, and big data platforms.

Who are Inchcape At Inchcape, our vision is to have a connected world, in which our customers trade successfully and make better decisions in every port, everywhere. We use technology and our global network to help our partners connect to a smoother, smarter ocean. Inchcape combines its worldwide infrastructure with local expertise through our global network of over 250 proprietary offices, across 70 countries and a team of more than 3,000 committed professionals. Our diverse global customer base includes owners and charterers in the oil, cruise, container, and bulk commodity sectors as well as naval, government and intergovernmental organisations. We have an ambitious growth model and a career here is certainly going to be a rewarding one that will allow you to bring your skills experience. We embrace change and are open to new thinking and pushing for positive change in our industry. What you ll do: Primary Responsibilities Analyse vendor pricing trends and prepare actionable reports to support procurement cost optimisation Evaluate vendor rebate structures and create reports to support increased rebate realisation Monitor port call volumes and revenue data to identify opportunities for commercial improvement and efficiency Prepare monthly, quarterly, and annual reports for key government service stakeholders, ensuring accuracy and timely submission Track and report vendor DA (Disbursement Account) submission timelines and generate insights to improve submission compliance Work with internal stakeholders to gather new reporting requirements and translate them into clear documentation Prepare and manage Business Requirement Documents (BRDs) with technical and functional details for stakeholder sign-off Develop and maintain Alteryx workflows to automate regular reporting processes Conduct quality checks on data inputs and outputs to ensure consistency, accuracy, and alignment with business requirements Perform User Acceptance Testing (UAT) for newly developed reports and dashboards with internal stakeholders Build and update Tableau dashboards based on validated data and user feedback Maintain change trackers and documentation for ongoing and completed reporting projects Create and maintain Confluence pages with all project-related documents Coordinate with Data Architects and the IT team for design inputs and data structure improvements Initiate and manage Change Requests (CRs) post sign-offs and oversee report/dashboard migration to production Regularly update Jira or equivalent tracking tools with tasks and progress updates Support the management team with prioritised reporting requirements across business segments Identify and recommend automation opportunities for recurring reports and dashboards Additional Responsibilities Conduct ad hoc analysis and reporting for various functions within Government Services using SQL or Alteryx Monitor and troubleshoot Alteryx workflow performance; manage scheduling and reruns as needed Manage data archiving activities and ensure regular updates to cloud storage platforms (e.g., AWS S3) Assist with monthly data updates, such as FX rates, to ensure accuracy in financial and operational reports Deliver weekly and monthly business-as-usual (BAU) reports for internal stakeholders Prepare presentations and trackers in MS PowerPoint and MS Excel based on recurring operational KPIs Support testing and coordination activities related to reporting system upgrades or integrations Assist the wider reporting and analytics team with cross-functional projects as needed Manage user access to reporting platforms and oversee job schedules on tools such as Tableau Server Skills and Qualifications Educational Background: Bachelor s or Master s degree in Computer Science, Engineering, Economics, Statistics, or related disciplines Experience: 2 5 years of experience in data analytics, reporting, or similar roles Strong written and verbal communication skills with the ability to convey complex data clearly Proactive approach to identifying inconsistencies, errors, or anomalies in data sets Problem-solving mindset with a focus on delivering practical insights to improve performance Ability to manage tasks independently while collaborating effectively with cross-functional teams Technical Proficiency Experience with Tableau and/or other data visualisation platforms Strong Excel skills including pivot tables, advanced formulae, and data validation techniques Proficient in SQL, Alteryx, and data manipulation languages Basic understanding of scripting languages such as Python or R (desirable) Familiarity with tools such as Jira, Confluence, AWS S3, or similar platforms is a plus Key Contributions Translate data analysis into clear insights that guide commercial and operational decisions Automate standard reports and reduce manual effort to enhance reporting efficiency Collaborate with business and functional leads to develop data-driven strategies for cost and performance improvement Maintain robust documentation to ensure knowledge continuity and compliance #LI-MB1

Vistex Human Resources Specialist will assist the Human Resources (HR) department through various transactional tasks. These tasks include entering employee information into appropriate systems, verifying employment and unemployment details, and managing the day-to-day operations of the Global HRIS/ERP system. The position operates with close supervision and follows specific directions from higher-ups. Responsibilities: Handle employee data changes, including new hires, terminations, transfers, promotions, and compensation adjustments. Experience in Employee life cycle management. Stay updated on local employment laws and regulations and ensure compliance in employment contracts, working hours, and leave policies. Collaborate with relevant stakeholders, such as HR business partners and payroll, to ensure timely and accurate resolution of cases and employee grievances. Oversee the accurate and timely processing of HR transactions, ensuring compliance with policies, procedures, and legal requirements. Assists Managers with inquiries regarding Employee Status Change Notices. Keeping track of various HR records as advised from time to time Identify process optimization and automation opportunities within HR administration, leveraging HRIS and other available tools. Ensures the accuracy of the HRIS Systems. Propose and implement improvements to streamline workflows, reduce manual tasks, and enhance the employee and manager experience. Completes special projects as requested. Handle Data analytics and data validation. Other miscellaneous HR activities Facilitate inductions etc Handle and support employee engagement events