8 Validation Techniques Jobs

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. As part of our EY-DnA team, you will help clients in developing and implementing data analyses, data collection systems, and other strategies that optimize statistical efficiency and quality. Working with the latest tools available in the market, you will help clients by acquiring data from primary or secondary data sources and maintain databases/data systems to identify, analyze, and interpret trends or patterns in complex data sets. Using your expertise in data analytics, you will help our clients view data in context and make smarter business decisions to achieve improved products and services. We're looking for Gig with expertise in Data & Analytics to join our dynamic Advisory DnA Team. This is a fantastic opportunity to be part of a leading firm while being instrumental in the growth of a new service offering. Role Overview: As a STIBO MDM Specialist, you will play a critical role in implementing and managing STIBO Master Data Management (MDM) solutions. You will collaborate with cross-functional teams to ensure seamless data management, integration, and governance, enabling data consistency and accuracy across the organization. Key Responsibilities: - STIBO MDM Implementation: - Lead the design, development, and deployment of STIBO MDM solutions. - Configure data models, workflows, and hierarchies to meet business requirements. - Data Quality and Governance: - Define and implement data governance policies within the STIBO MDM framework. - Monitor and improve data quality by enforcing validation rules and workflows. - Integration and Mapping: - Integrate STIBO MDM with enterprise applications (ERP, CRM, etc.) using APIs or middleware. - Ensure data mapping, transformation, and synchronization across systems. - Collaboration and Training: - Work closely with business teams, data stewards, and IT teams to gather requirements and deliver solutions. - Provide training and support to end-users on the STIBO MDM platform. - Issue and Risk Management: - Identify potential risks related to data inconsistencies or integration issues and propose mitigation strategies. - Troubleshoot and resolve technical issues in a timely manner. Required Skills and Experience: - In-depth knowledge and hands-on experience with the STIBO MDM platform, including configuration and implementation. - Strong understanding of data modeling, data integration, and master data workflows in STIBO. - Proficiency in integrating MDM with enterprise systems using APIs, ETL tools, or middleware. - Expertise in data governance, quality management, and validation techniques. - Strong problem-solving and analytical skills to address complex data challenges. - Excellent communication skills to engage with business and technical stakeholders. What we look for: A team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment. An opportunity to be part of a market-leading, multi-disciplinary team of 550+ professionals, in the only integrated global advisory business worldwide. Opportunities to work with EY Advisory practices globally with leading businesses across a range of industries. What working at EY offers: At EY, we're dedicated to helping our clients, from startups to Fortune 500 companies, and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: - Support, coaching, and feedback from some of the most engaging colleagues around. - Opportunities to develop new skills and progress your career. - The freedom and flexibility to handle your role in a way that's right for you. EY | Building a better working world: EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. As part of our EY-DnA team, you will help clients in developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality. Working with the latest tools available in the market, you will help clients by acquiring data from primary or secondary data sources and maintain databases/data systems to help identify, analyze, and interpret trends or patterns in complex data sets. Using your expertise in data analytics, you will assist our clients to view data in context and make smarter business decisions to achieve improved products and services. We're looking for a Gig with expertise in Data & Analytics to join our dynamic Advisory DnA Team. This is a fantastic opportunity to be part of a leading firm while being instrumental in the growth of a new service offering. **Role Overview:** As a STIBO MDM Specialist, you will play a critical role in implementing and managing STIBO Master Data Management (MDM) solutions. You will collaborate with cross-functional teams to ensure seamless data management, integration, and governance, enabling data consistency and accuracy across the organization. **Key Responsibilities:** **STIBO MDM Implementation:** - Lead the design, development, and deployment of STIBO MDM solutions. - Configure data models, workflows, and hierarchies to meet business requirements. **Data Quality and Governance:** - Define and implement data governance policies within the STIBO MDM framework. - Monitor and improve data quality by enforcing validation rules and workflows. **Integration and Mapping:** - Integrate STIBO MDM with enterprise applications (ERP, CRM, etc.) using APIs or middleware. - Ensure data mapping, transformation, and synchronization across systems. **Collaboration and Training:** - Work closely with business teams, data stewards, and IT teams to gather requirements and deliver solutions. - Provide training and support to end-users on the STIBO MDM platform. **Issue and Risk Management:** - Identify potential risks related to data inconsistencies or integration issues and propose mitigation strategies. - Troubleshoot and resolve technical issues in a timely manner. **Required Skills and Experience:** - In-depth knowledge and hands-on experience with the STIBO MDM platform, including configuration and implementation. - Strong understanding of data modeling, data integration, and master data workflows in STIBO. - Proficiency in integrating MDM with enterprise systems using APIs, ETL tools, or middleware. - Expertise in data governance, quality management, and validation techniques. - Strong problem-solving and analytical skills to address complex data challenges. - Excellent communication skills to engage with business and technical stakeholders. At EY, we're dedicated to helping our clients, from startups to Fortune 500 companies, and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: - Support, coaching, and feedback from some of the most engaging colleagues around - Opportunities to develop new skills and progress your career - The freedom and flexibility to handle your role in a way that's right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

As a part-time Data Scientist with over 4 years of experience, you will be responsible for building the Machine Learning foundation for a high-velocity US-focused startup. The position offers approximately 3 months of work initially, with the potential for a full-time role requiring 12 hours per week. It is important to note that Data Analytics is distinguished from Data Science. Inveno, a New York City-based startup, aims to automate the manual resource planning processes that occur daily at warehouses across the United States. The current problem being addressed is the reliance of 75% of US warehouses on manual shift planning, leading to inefficiencies amounting to over $1 million per warehouse annually. By utilizing operational data and developing custom AI and optimization models, Inveno seeks to assist warehouse managers in planning with precision, speed, and scalability. The founding team behind Inveno consists of a warehouse operations expert with 8 years of experience, a CEO with a successful track record of building and exiting companies, and a CTO experienced in scaling engineering and systems across various ventures globally. The company has made significant progress, with the V1 product set to go live with the first client in 2 months. Inveno has also secured a paid contract with a global multi-brand conglomerate and has a promising pipeline with some of the largest retailers in the US. As a Data Scientist in this role, you will be responsible for leading the development of the optimizer, building machine learning models, collaborating on the LLM interaction layer, and establishing MLOps best practices. Key responsibilities include architecting and implementing core optimization engines, creating supervised learning models, designing workflows, and setting up model versioning and deployment pipelines. Qualifications and skills required for this position include experience in designing and deploying constraint-based optimization models, advanced Python skills, a strong foundation in supervised machine learning, the ability to translate complex operational problems into solvable models, and a degree in Computer Science, Operations Research, Statistics, or a related quantitative field.,

You are a highly skilled and detail-oriented ETL QA - Technical Lead with a solid background in Big Data Testing, the Hadoop ecosystem, and SQL validation. Your primary responsibility will be leading end-to-end testing efforts for data/ETL pipelines across various big data platforms. You will be working closely with cross-functional teams in an Agile environment to ensure the quality and integrity of large-scale data solutions. Your key responsibilities include designing and implementing test strategies for validating large datasets, transformations, and integrations. You will be hands-on testing Hadoop-based data platforms such as HDFS, Hive, and Spark. Additionally, you will develop complex SQL queries for data validation and business rule testing. Collaborating with developers, product owners, and business analysts in Agile ceremonies will also be a crucial part of your role. As the ETL QA - Technical Lead, you will own test planning, test case design, defect tracking, and reporting for assigned modules. Identifying areas of automation and building reusable QA assets will be essential, along with driving QA best practices and mentoring junior QA team members. To excel in this role, you should have 7-11 years of experience in Software Testing, with a minimum of 3 years in Big Data/Hadoop testing. Strong hands-on experience in testing Hadoop components like HDFS, Hive, Spark, and Sqoop is required. Proficiency in SQL, especially in complex joins, aggregations, and data validation, is essential. Experience in ETL/Data Warehouse testing and familiarity with data ingestion, transformation, and validation techniques are also necessary.,

As a part-time Data Scientist with more than 4 years of experience, you will have the opportunity to build the machine learning foundation for a high-velocity US-focused startup. The position involves approximately 3 months of work initially, with the potential for full-time engagement (12 hours per week). Inveno, a New York City-based startup, is dedicated to automating the manual resource planning processes that occur daily in US warehouses. The primary problem being addressed is the prevalent manual shift planning in 75% of US warehouses, leading to inefficiencies costing over $1 million annually per warehouse. By leveraging operational data and developing custom AI and optimization models, Inveno aims to empower warehouse managers with precise, efficient, and scalable planning solutions. The founding team of Inveno consists of three members: - A warehouse operations expert with 8 years of experience at prominent logistics startups in the US and India. - A CEO with a track record of building and exiting three companies, as well as leading teams at Alibaba Group. - A CTO experienced in scaling engineering and systems across various international ventures. In terms of progress, Inveno's V1 product is scheduled to go live with the first client within 2 months. The startup has already secured a paid contract with a global multi-brand conglomerate and has a promising pipeline including some of the largest retailers in the US. As a data scientist joining the team, you will play a crucial role in leading the development of the core optimization engine, building machine learning models to support the optimizer, shaping the LLM interaction layer, and establishing MLOps best practices. Key responsibilities include architecting and implementing the core optimization engine, creating and deploying supervised learning models, collaborating with engineering on workflow design, and setting up model versioning, deployment, monitoring, and experimentation pipelines. Qualifications & Skills Required: - Experience in designing and deploying constraint-based optimization models using tools like Google OR-Tools, Gurobi, CPLEX, or similar. - Proficiency in advanced Python skills and familiarity with the data science stack including NumPy, pandas, and scikit-learn. - Strong foundation in supervised machine learning, encompassing feature engineering, model selection, and validation techniques. - Demonstrated ability to translate complex operational problems into solvable mathematical or machine learning models. - Bachelor's or Master's degree in Computer Science, Operations Research, Statistics, or a related quantitative field. Joining Inveno as a Data Scientist presents a significant opportunity for career advancement by taking ownership of the development and deployment of a foundational model that drives innovation in a critical sector.,

The Workplace Technology Analyst position based in Hyderabad or Chennai, India, involves supporting a global portfolio and working EMEA hours. As a Workplace Technology Analyst, your primary responsibilities will include collaborating with Worktech stakeholders to understand business and data needs, developing tailored reporting solutions, extracting, cleaning, and analyzing large datasets from multiple sources to provide comprehensive insights into business metrics. You will conduct deep-dive analysis to identify patterns, trends, and relationships in data to inform key business decisions. Additionally, you will translate business questions into data requirements and provide concise answers through reporting and assist in creating presentations of key information and data insights. Ensuring data quality and accuracy through validation techniques, best practices, and governance processes will be a crucial part of your role. You will provide feedback to internal development teams on data display in internal solutions, proactively suggest improvements to enhance data reliability and efficiency, and participate in cross-functional projects focused on leveraging data to drive innovation and continuous improvement. Staying updated on the latest technology solutions and integrating new techniques into business reporting workflows will also be part of your responsibilities. You may need to undertake additional duties as required to support daily operations. The ideal candidate for this role should possess a Bachelor's degree in computer science, Data Science, or a related field, along with at least 3 years of experience in Data Analytics or real estate technology. Excellent communication skills are required, with the ability to present complex ideas and data insights to non-technical stakeholders. You should be willing to learn and understand business operations across multiple regions and business units, have critical thinking skills with an inquisitive mindset, and the ability to find solutions and make recommendations. The role requires the ability to work well under pressure, respond to fast-changing priorities and deadlines, and manage multiple tasks and projects simultaneously. Proficiency in at least one dashboarding solution such as Tableau, Looker, or Qlik is preferred for this position. Joining the team will give you the opportunity to shape the future of workplace technology at JLL. To apply for this position, please submit your resume and cover letter through our online application system. We are looking forward to hearing from you!,

You should have at least 6 years of experience in Automation, with excellent knowledge and hands-on skills in Selenium. Your responsibilities will include identifying automation requirements, designing automation frameworks, and developing automation suites from scratch. You must be proficient in Selenium Webdriver, Appium, and automation testing techniques to cover all possible corner cases. Additionally, you should have experience working with test tools, processes, and approaches, as well as developing automation scripts for complex content types in large web-based content applications. You must possess strong analytical skills to analyze and write automation scripts for complex business rules and rule engines. Furthermore, you should have strong interpersonal and presentation skills to interact with team members and clients effectively. The ability to handle ambiguity and change, multitask, and switch between tasks quickly is essential. Excellent communication skills are also required for this role.,

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! I ntroduction Do you have a passion for building high-quality, well-designed mobile user interfaces Do you excel in working with multi-functional teams of engineers and designers, delving into complex issues in user interface development while striving for design excellence and consistency Adobe Design is looking for a Senior Design Engineer to join our Spectrum Design System team, with a focus on Android UI component engineering. On the Spectrum team, we bridge design and technology, providing Adobe with tools, components, infrastructure, and services that enable design precision and consistent, fully accessible user experiences across a range of products. The opportunity In this role, you will build Spectrum-based Android components and help mobile product teams at Adobe use them effectively. You will participate in key planning activities, such as feature discovery, system architecture, requirements definition, project scope, and delivery. You will play a key role in ensuring Spectrum is available for our customers in a timely, stable, and scalable way. And, just as importantly, you will contribute to building a collaborative, friendly and vibrant engineering culture within Adobe Design. What you'll do Collaborate with the Spectrum design team to ensure our design system's aesthetic is built into our Android componen ts , all while maintaining an idiomatic API Partner with product teams to define, build, support, and validate implementations of Spectrum in Adobe's Android products Understand and derive data from designs, map data to clear abstractions, and integrate that design data into our components Write clarifying documentation to communicate our engineering approach, support contributors, perform code reviews, and help improve the predictability and stability of our libraries Help communicate product engineering concerns back to design, and help drive process improvements to address concerns Assist in the discovery and delivery of fixes needed for our components What you need to succeed Must-Haves Strong understanding of how to build performant and complex UI components in the Android ecosystem, ideally having direct experience with the Android Studio, Kotlin, and Java (3+ years) Passion and desire for building user interface components with meticulous attention to design details Experience building and supporting frameworks or SDKs used by other developers Experience with git and GitHub Practice with open development and providing detailed feedback to other team members Understanding of UI accessibility practices, standards, and testing methods Practice working closely with designers, including experience converting detailed designs into code A pragmatic, collaborative and open-minded outlook, and a high degree of comfort working in a fast-paced environment Nice-to-Haves Familiarity with the concepts behind design systems and how they are applied in product development Hands-on usage of build, test, and release methods such as linting, CI/CD tooling, software testing and validation techniques, and modern dev-ops practices Experience working with partners to inform product roadmap planning Adobe is proud to be anemployer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, emailor call (408) 536-3015.