Data Curation Associate Jobs

Capco, a Wipro company, is a global technology and management consultancy specializing in driving digital transformation in the financial services industry. With a growing client portfolio comprising over 100 global organizations, Capco operates at the intersection of business and technology by combining innovative thinking with deep industry expertise to deliver end-to-end, data-driven solutions across banking, payments, capital markets, wealth and asset management, insurance, and energy. Capco’s innovation is driven through its collaborative culture, Innovation Labs, and commitment to empowering diverse talent to thrive. Role Summary The Tech Lead plays a key role in leading the design and delivery of scalable, secure, and high-performing technology solutions. This is a hands-on leadership role combining strong software engineering and solution design skills with a solid understanding of data and modern data platforms. Working across the Software Development Lifecycle (SDLC), the Tech Lead works closely with business, product, architecture, and engineering teams to translate requirements into practical technical solutions, guide implementation, and ensure high-quality delivery within Agile environments. What You’ll Do Lead technical design and delivery across applications, integrations, and data-driven solutions Translate business requirements into scalable, maintainable technical solutions Provide hands-on technical leadership, including design and code reviews, troubleshooting, and implementation guidance Define and apply engineering standards, architectural patterns, and development best practices Collaborate with business, product, architecture, engineering, and infrastructure teams throughout the delivery lifecycle Design and build solutions across cloud, on-premise, and hybrid environments Guide application and integration design using APIs, microservices, messaging, and event-driven approaches Apply strong data fundamentals including data mode

Own end-to-end delivery of AI and advanced analytics solutions for Adani businesses — from business problem definition and data validation, through model development and deployment, to performance reporting and stakeholder adoption. The role converts complex operational problems across power, utilities, cement, airports, HR and physical security into deployable forecasting, optimization, computer vision, and NLP solutions that create measurable business value. Source: Adani Group | Job ID: 59262

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview At Instacart, we're transforming the grocery industry through technology and AI-powered solutions. The Data Operations team partners closely with Product, Engineering, and Machine Learning to build scalable operational processes and high-quality datasets that power advanced AI technologies, including computer vision and machine learning. We're looking for a Data Operations Manager to lead cross-functional operational initiatives from concept to production. This role combines technical understanding with operational execution, requiring strong ownership, project leadership, and the ability to influence across teams in a fast-paced environment. About the Job Design, implement, and scale operational processes that support onboarding, ongoing operations, and future growth. Lead end-to-end technical implementation projects across product, engineeri

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. As a Data Scientist on the Mapping team, you will collaborate with our world class team of engineers, product managers, and designers to grow and improve the quality of recommended routes and accuracy of our travel time estimations. We're looking for a passionate, driven Data Scientist who is excited to dive into our spatial data and build a best-in-class mapping product that provides safe, efficient, and seamless navigation for our rideshare drivers. Data Science is at the heart of Lyft’s products and decision-making. You will leverage data and rigorous, analytical thinking to shape our mapping products and make business decisions that put our customers first. This will involve identifying and scoping opportunities, shaping priorities, recommending technical solutions, designing experiments, and measuring the impact of new features. You will help us solve some of the most impactful problems in mapping, including: How do we improve the quality of our map data in order to improve our recommendations? How do we benchmark and measure the success of our services? How do we validate features of the real world that affect our routing algorithms? Are we meeting our travel estimation promises to our customers? Responsibilities: Leverage data and analytic frameworks to identify opportunities for growth and efficiency Partner with product managers, engineers, and operators to translate analytical insights into decisions and action, and implement products to drive business goals Design and analyze online experiments; communicate results and act on launch decisions Develop analytical frameworks to monitor business and product performance Establish metrics that measure the health of our products, as well as rider and driver experience Identify and drive impact and alignment, shaping product and business strategy

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: San Francisco, Austin, Seattle, or New York About the Role The Data Center Strategy team needs a site-selection manager who has closed NNN and wholesale leases at MW scale. You find the site, underwrite it, and get the paper signed. The binding constraint is usually power: available MW, interconnection, substation work, and when the site actually energizes. You also have to be right about land or campus control, fiber, water, flood

Our Mission You call. You wait. You call again. In every other part of your life, you book in seconds. In healthcare, you’re blocked. We’re here to give power to the patient. For nearly 20 years, we’ve built the leading healthcare marketplace - helping tens of millions of people find and book the care they need. Now, we’re going further: building our infrastructure beyond Zocdoc’s marketplace to power access to care wherever patients search, from provider websites and insurance directories to search engines, AI platforms, and more. Healthcare still lacks something every other major consumer industry takes for granted: a seamless way to go from seeking to getting . We don’t want to own the front door to care; there isn't one. We want to make sure all of those doors open when patients are knocking. Fixing healthcare starts with fixing access to it. And we're still just getting started. Your Impact on our Mission: Zocdoc is hiring a Senior Software Engineer to build the data platform that connects our products with analytics, machine learning, and operational systems. This role sits on the Data Engineering team at the boundary of backend engineering and data infrastructure. You will build APIs, libraries, schemas, services, and supported workflows that help engineers publish and use data safely. Your work will cover the path from source-defined contracts and validation through reliable event and batch delivery to data activation in products and business systems. You will help make quality, ownership, observability, and privacy part of the platform, while giving teams a clearer path to ship without depending on Data Engineering for every integration. You’ll enjoy this role if you are… Excited to build platform products for other engineers, turning ambiguous problems into practical APIs, SDKs, shared libraries, command-line tools, and services that you also help operate. Interested in the full lifecycle of data, including how it is defined

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role As a Senior Data Solutions Consultant, you will lead some of Addepar’s complex and high-touch client data implementation projects. You’ll design scalable solutions to transform and integrate clients’ portfolio data into Addepar, consult with clients on sophisticated investment data challenges, and serve as a subject-matter expert across both technical and business domains. You’ll also be among the first members of the Data Solutions team based in India , helping establish our presence in the region while working closely with colleagues across the U.S., U.K., and other global offices. This is a collaborative role offering the opportunity to shape our operating model locally and strengthen how our global teams deliver together. Beyond client delivery, you’ll also drive internal innovation; developing automation, tooling, and best practices that enable scale and elevate how we operate globally. This is a senior individual contributor position for someone who thrives at the intersection of finance, data, and technology, and is excited to make a global impact from India. Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available

Spaulding Ridge is an advisory and IT implementation firm. We help global organizations get financial clarity into the complex, daily sales, and operational decisions that impact profitable revenue generations, efficient operational performance, and reliable financial management. At Spaulding Ridge, we believe all business is personal. Core to our values is our relationships with our clients, our business partners, our team, and the global community. Our employees dedicate their time to helping our clients transform their business, from strategy through implementation and business transformation. What You Will Do and Learn As a Senior Associate in data Solutions, you’ll be responsible for pre-sales, estimation, scoping, designing, implementing, and testing proposed modern analytic solutions. Working closely with our client partners, you’ll develop relationships with key technical resources while delivering tangible business outcomes. Ideal candidates will be able to: Ability to manage projects and teams against planned work. Responsible for managing the day-to-day client relationship on projects. Manage the Data Engineering lifecycle including research, proof of concepts, architecture, design, development, testing, deployment, and maintenance. Collaborate with team members to design and implement technology that aligns with client business objectives. Build proof of concepts for a modern analytics stack supporting a variety of cloud-based business systems for potential clients. Team management experience and ability to manage, mentor, and develop talent of assigned junior resources. Create actionable recommendations based on identified platform, structural and/or logic problems. Communicate and demonstrate a clear understanding of client business needs, goals, and objectives. Collaborate with other architects on solution designs and recommendations. Assess client data environments and recommend scalable analytics and data engineering solutions. Des

Job Title: GCP Data Engineer About Us “Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount . With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. WHY JOIN CAPCO? You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry. MAKE AN IMPACT Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. #BEYOURSELFATWORK Capco has a tolerant, open culture that values diversity, inclusivity, and creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. Location - Bangalore , Hyderabad , Chennai Min 8-12 years of hands-on experience in GCP Data Engineering designing, building and supporting distributed systems and large-scale data processing systems in production with a proven track record. Expertise in GCP Data Products e.g. BigQuery, Dataflow, Cloud Storage, Pub/Sub, and Cloud Composer, Apache Kafka Good hands on experience to Build Batch Data and Streaming Data Pipelines on Google Cloud Strong coding/scripting experience developed in a commercial/industry setting ( Python, SQL, Java, Scala or Go ). Strong SQL ability to write complex queries is must; Strong working

与邓白氏一起塑造未来 "在邓白氏，我们相信数据能够创造更美好的未来。作为全球最具影响力的商业信息服务机构之一，我们帮助全球企业实现增长、管理风险并推动创新。自1841年以来，企业一直信任我们能将不确定性转化为机遇。我们是一支多元化的全球团队，致力于推动创新与协作，勇于探索前沿理念。你准备好发挥影响力、共同塑造未来了吗？加入我们吧！请访问 dnb.com/careers 探索更多机会。" 职位介绍 【职位描述】 · 在公司既定的数据治理框架、全球标准和操作流程下，执行中国市场核心数据的日常处理、质量检查和维护工作，支持业务和产品的数据需求，确保所负责数据的准确性、一致性和可追溯性。 · 按照既定的企业注册数据处理规则和操作指引开展工作，识别并反馈规则或流程中的问题；在上级或资深同事指导下，协助更新操作指引和测试改进方案。 · 参与跨来源数据整合，按照既定方案完成数据整理、核对和异常反馈，支持不同系统间的数据一致性。 按照既定的数据质量控制机制执行验证、去重、匹配、数据统计和结果核查，并按流程记录和升级异常情况。 根据已明确的业务需求和既定数据方案，完成数据处理、结果验证、质量检查和交付；对需求不清或超出既定范围的事项及时升级确认。 · 使用公司批准的自动化、规则化及AI工具支持数据处理、质量检查和异常识别；协助开展工具测试、结果验证和问题反馈。 · 根据需要分享日常操作经验和已验证的工作方法，支持团队内部知识交流。 · 对所分配的工作量、产出目标及工作质量承担责任（具体要求将根据公司阶段性业务需求及实际运营情况进行相应更新与调整）。 · 上级主管或公司要求员工执行的与岗位相关的其他工作内容 【任职要求】 EXPERIENCE, KNOWLEDGE, SKILLS, ABILITIES: List the experience, knowledge, skills and abilities necessary to do the job in a fully competent manner · 本科及以上学历；具备信息管理、计算机科学、数据管理或其他相关专业背景。 · 具备1–3年数据处理、数据管理、数据运营或相关领域工作经验。 · 了解数据治理、主数据管理、数据质量管理等基本概念及方法。 · 具备数据整理、分析及质量核查能力，能够按照既定规则开展数据处理工作。 · 能够理解基础数据结构和业务逻辑，并在指导下按照既定方案完成数据处理工作。 · 具备使用Excel、Access、SQL、Python或类似工具开展数据处理工作的能力。 熟练使用Excel或类似工具开展基础数据整理和核查；具备Access、SQL、Python或其他数据处理工具经验者优先。 · 具备学习和使用公司批准的自动化或AI工具的能力，能够按照指导完成基础应用、结果核查和问题反馈。 · 了解自动化或AI工具在数据清洗、实体匹配、质量检查和文本处理等场景中的基础应用者优先。 · 具备良好的沟通协作能力，能够与业务及技术团队开展协同工作。 · 具备主动学习意识、责任意识及团队协作精神。 · 具备基本英文阅读和书写能力，能够满足岗位工作需要。 申请指南 如您要申请该职位，请点击“申请该职位”按钮。屏幕将跳转至新的页面，显示以下字段：简历、全名、电子邮箱、电话号码和当前供职公司。您可以选择提供关联至您的Linkedin、GitHub、portfolio、Twitter或其它网站的链接。您也可以在“附加信息”中添加推荐信、更多个人信息或您对该职位的意向。最后，请点击“提交申请”按钮以完成申请。我们期待您的申请！ --- All Dun & Bradstreet job postings can be found at https://jobs.lever.co/dnb. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com. Notice to Applicants: Please be advised that this job posting page is hosted and powered by Lever, a subsidiary of Employ Inc. Your use of this page is subject to Employ's Privacy Notice and Cookie Policy, which governs the processing of visitor data on this platform.

与邓白氏一起塑造未来 "在邓白氏，我们相信数据能够创造更美好的未来。作为全球最具影响力的商业信息服务机构之一，我们帮助全球企业实现增长、管理风险并推动创新。自1841年以来，企业一直信任我们能将不确定性转化为机遇。我们是一支多元化的全球团队，致力于推动创新与协作，勇于探索前沿理念。你准备好发挥影响力、共同塑造未来了吗？加入我们吧！请访问 dnb.com/careers 探索更多机会。" PURPOSE OF THE JOB (required for supervisory/managerial job): Summarize why this job exists and the contribution it makes to the overall business of the company 该岗位负责公司400热线、在线客户咨询及销售线索的接待和流转工作，通过专业、高效的客户服务，确保客户需求得到及时响应和准确处理，提升客户体验，并保障销售线索的分配质量与效率。 PRINCIPAL ACCOUNTABILITIES: Describe the major activities of the job, emphasizing the end results which must be achieved (suggest listing from the most important task) • 负责400热线及在线渠道客户咨询接待，按照标准服务流程及时响应客户需求。 • 准确记录客户信息及需求，并将业务咨询、服务请求等流转至相关团队处理。 • 妥善处理客户投诉、异议及升级问题，确保客户获得良好的服务体验。 • 根据公司规则完成销售线索的识别、分类及分配，保障线索分配的准确性和及时性。 • 按照服务时效要求完成线索流转及跟进协调工作。 • 负责客户服务工单、客户异议台账及相关运营数据的维护与更新。 • 协助完善客户服务知识库、标准话术及服务流程，推动持续优化。 • 上级主管或公司要求员工执行的与岗位相关的其他工作内容。 • EXPERIENCE, KNOWLEDGE, SKILLS, ABILITIES: List the experience, knowledge, skills and abilities necessary to do the job in a fully competent manner • 本科及以上学历，专业不限。 • 具备客户服务相关工作经验。 • 具备良好的客户沟通能力和服务意识，能够有效处理客户咨询与投诉。 • 具备较强的情绪管理能力及客户关系处理能力。 • 工作细致认真，责任心强，具备较好的数据准确性和执行力。 • 能够适应标准化流程管理，具备较强的学习能力和流程意识。 • 熟练使用Office办公软件，具备CRM、工单系统或客户管理系统使用能力。 • 具备团队协作精神，能够在多任务环境下高效开展工作。 • 具备数字化工具应用意识，能够学习并合理使用AI工具提升工作效率及服务质量。 申请指南 如您要申请该职位，请点击“申请该职位”按钮。屏幕将跳转至新的页面，显示以下字段：简历、全名、电子邮箱、电话号码和当前供职公司。您可以选择提供关联至您的Linkedin、GitHub、portfolio、Twitter或其它网站的链接。您也可以在“附加信息”中添加推荐信、更多个人信息或您对该职位的意向。最后，请点击“提交申请”按钮以完成申请。我们期待您的申请！ --- All Dun & Bradstreet job postings can be found at https://jobs.lever.co/dnb. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com. Notice to Applicants: Please be advised that this job posting page is hosted and powered by Le

Data Architect, AI and Supply Chain Insights Description - Job Summary We are seeking a Supply Chain Data Architect who combines strong data architecture expertise with a data product mindset. The role is responsible for owning and evolving a portfolio of Data Products, designing scalable and reusable data models, and ensuring data assets are trusted, governed, and optimized for reporting, analytics, Data Science, Machine Learning, and AI use cases. The successful candidate will work closely with business stakeholders to understand processes, priorities, and opportunities, translating them into data strategies and architecture solutions that maximize business value and adoption. A strong understanding of data engineering concepts is foundational and required, including how data is acquired, transformed, and delivered across modern data platforms. The primary focus of the role is on data architecture, data modeling, data product maturity, business engagement, and AI ready design. Success is measured by the ability to create scalable, business ready data products that enable self service analytics, advanced insights, continuously leveraging the evolving AI technologies for our Supply Chain Stakeholder. The ideal candidate combines deep expertise in data architecture and modeling with business acumen, critical thinking, problem solving and a passion for innovation. They partner with business leaders, Data Engineers, Data Scientists, Product Owners, and AI practitioners to transform complex business challenges into data driven solutions Responsibilities Own and evolve a portfolio of Supply Chain Data Products, ensuring they are certified, compliant, governed, and aligned to the latest Data Governance standards while maximizing business value and adoption. Partner with busi

About The Role Own the end-to-end data-center hardware quality and reliability loop for OpenAI’s 3P infrastructure and 1P current and next-gen platforms. Turn field failures into quantified risk, fast containment, verified root cause, improved MQE/NPI and manufacturing-test coverage, accurate spares forecasts, and upstream changes that prevent recurrence. The first hire must combine practical hardware/system understanding, reliability engineering, data fluency, and cross-functional technical leadership at data-center scale. Key Responsibilities • Build and govern the field-quality data model across telemetry, tickets, RMA/repair, FA, firmware, configuration, supplier, and manufacturing genealogy. • Define AFR, ASR, DPPM, MTBF/MTTR, repeat-repair, NTF, repair-cycle-time, and forecast-versus-actual metrics with explicit denominators and uncertainty. • Provide fleet-level macro views and unit/FRU/cohort-level micro views; detect shifts and bound affected populations. • Lead systemic field-failure triage, containment, failure analysis, 8D/CAPA, risk assessment, corrective-action verification, and recurrence monitoring. • Develop cohort, life-data, reliability-growth, and spare-demand projections by product, FRU, supplier, configuration, geography, and age. • Partner with MQE and NPI to convert field mechanisms into manufacturing-test coverage, screening/stress profiles, diagnostics, control plans, DFR/DFS requirements, FMEA/FTA, mission profiles, FRU strategy, and qualification gates. • Close the loop by verifying whether upstream changes reduce field recurrence. • Define supplier/CM FA standards, field-data contracts, scorecards, escalation paths, and closure evidence. • Provide serviceability, TCO, and spares inputs without owning inventory execution or procurement. • Create concise executive decision packages: population at risk, exposure, confidence, options, cost/risk, and recommendation. • Run the cross-functional reliability council and, as the team grows, mentor

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview We are looking for a Senior Data Scientist to lead the Meals initiative — one of Instacart's top strategic priorities for 2027. This role is focused on scaling data science work following the MVP launch, with metric tracking and experimentation at the core. You will play a key role in driving engagement, activations, and reactivations for Instacart through a high-visibility, high-impact 0→1 initiative. This is an opportunity to shape the direction of a major product area in close partnership with Product, Engineering, and Design. About the Job Lead data science for the Meals initiative, owning the post-MVP scale-up of DS systems and infrastructure Design, build, and maintain metric tracking frameworks to measure the impact of Meals on engagement, activation, and reactivation Drive experimentation strategy — from hypothesis definition to analysis and recomm

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview We are looking for a Senior Data Scientist to lead the Meals initiative — one of Instacart's top strategic priorities for 2027. This role is focused on scaling data science work following the MVP launch, with metric tracking and experimentation at the core. You will play a key role in driving engagement, activations, and reactivations for Instacart through a high-visibility, high-impact 0→1 initiative. This is an opportunity to shape the direction of a major product area in close partnership with Product, Engineering, and Design. About the Job Lead data science for the Meals initiative, owning the post-MVP scale-up of DS systems and infrastructure Design, build, and maintain metric tracking frameworks to measure the impact of Meals on engagement, activation, and reactivation Drive experimentation strategy — from hypothesis definition to analysis and recomm