At Reltio®, we believe data should fuel business success. Reltio’s AI-powered data unification and management capabilities—encompassing entity resolution, multi-domain master data management (MDM), and data products—transform siloed data from disparate sources into unified, trusted, and interoperable data. Reltio Data Cloud™ delivers interoperable data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands—across multiple industries around the globe—rely on our award-winning data unification and cloud-native MDM capabilities to improve efficiency, manage risk and drive growth. At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence. Reltio has earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk! Role Overview The Senior Data Engineer reports to the Product Manager and operates within the Product Management organization. This role bridges product strategy, data operations, and technical implementation, ensuring that Reltio’s internal data ecosystem serves as a reliable, intelligent, and scalable source of contextual truth. The position combines systems thinking, hands-on configuration, integration development, automation, and data governance execution. The ideal candidate is technically strong, analytically rigorous, and highly motivated to expand into emerging technologies — particularly in AI. Curiosity, adaptability, and a strong desire to continuously learn are essential for success in this role. Key Responsibilities - Partner with Product, Engineering, Marketing, Finance, HR, Sales, and Data Stewards to define and implement enterprise data strategies and governance frameworks. - Configure and optimize Reltio’s platform to support evolving business and product requirements. - Design and implement integrations across enterprise systems using modern cloud technologies (AWS, GCP, Azure). - Build and maintain data pipelines and process flows ensuring data accuracy, integrity, and reliability. - Translate business requirements into scalable data models and system designs. - Drive data quality initiatives, including monitoring, cleansing, deduplication, and anomaly detection. - Develop automation workflows to improve operational efficiency and reduce manual intervention. - Create interactive dashboards and visualizations to communicate insights to stakeholders. - Support AI-driven initiatives by preparing high-quality datasets and exploring use cases involving machine learning, anomaly detection, and contextual intelligence. - Continuously evaluate emerging technologies in AI, automation, and data engineering to enhance product and operational capabilities. Required Qualifications - 4+ years of programming, analysis, or systems design experience using Python, or similar languages. - Strong SQL and database experience. - Experience working with JSON and REST APIs. - Hands-on experience with data integrations and ETL tools (e.g., Workato, MuleSoft, Talend). - Experience with cloud platforms (AWS, GCP, or Azure). - Familiarity with cloud data warehouses (e.g., BigQuery) and BI tools (Looker, Tableau, Qlik, Data Studio). - Ability to design and implement automation solutions to improve efficiency. - Strong understanding of enterprise data workflows and governance principles. - Excellent cross-functional communication and stakeholder management skills. - BS in Computer Science, Data Science, Engineering, or equivalent experience. Preferred Qualifications - Experience with Salesforce Sales Cloud and martech platforms such as Marketo. - Experience in data science or machine learning, including anomaly detection or predictive analytics. - Exposure to AI-driven product features or experimentation in AI workflows. Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

• Deputy Manager - RNA ( Data Engineer ) • Essential skills Azure Databricks — pipeline development, jobs, notebooks, and optimisation • Azure Data Factory (ADF) — pipeline design, triggers, transformations • Python and SQL — data transformation, quality logic, schema management • ETL/ELT pipeline design — end-to-end ownership including ingestion, transformation, delivery • Data quality frameworks — validation rules, alerting, exception handling • Pipeline orchestration and scheduling • Azure cloud — resource management, Key Vault, Monitor • Git and version control — branching, code review practices • Desirable skills• Apache Airflow or equivalent orchestration tooling • PySpark for large-scale data transformation • Nielsen or third-party market data integration experience • Pricing, NRM, or commercial data domain familiarity • Experience with market onboarding or multi-territory data configuration

Imagine yourself… - Growing your expertise and expanding your skillset with every project. - Owning your ambition and fuelling your career growth. - Thriving in a supportive team environment that inspires you to strive for excellence. Headquartered in Broomfield, Colorado, TraceGains, a Veralto company, connects people and information so teams can work smarter. As a global technology company, we provide networked innovation, quality, and compliance solutions to consumer brands that want to reduce supply chain risk, speed up business processes, and take control of data. At TraceGains, we believe “we’re in this together,” and our goal is to provide the most innovative solutions in the industry. We are in the game to change the industry, and with the help of our ever-growing TraceGains Network, we have created the CPG industry’s first networked ingredients marketplace. We also know that innovation and ingenuity start with prioritizing a diverse workforce and a deeply inclusive workplace. We encourage people from all backgrounds to apply to our positions. https://www.youtube.com/watch?v=-iFYdty_sWc Reporting to the Customer Success, Technical Services Manager , the Data Migration Specialist is responsible for customer data migrations into the TraceGains platform. This includes planning, executing, and validating data migration projects across a range of file formats and data types. Collaborate cross-functionally with Customer Success, R&D, QA, and API specialists to support implementations, resolve issues, and drive product improvements. This position will be Remote. In this role, a typical day will look like: - Data Migration: Execute end-to-end data migrations including source analysis, schema mapping, data transformation, and validation across CSV, Excel, and XML formats. - AI-Assisted Migration: Leverage AI-powered tools to accelerate data mapping, transformation, and validation processes, improving efficiency and accuracy. - SQL Scripting: Write and execute custom SQL scripts to transform, clean, and prepare customer data for migration and ongoing data management. - API Support: Respond to basic customer API inquiries and perform first-level troubleshooting; escalate more complex issues to senior API specialists. - Configuration Workbooks: Provide backup support for setting up and configuring TraceGains workbooks, including field mapping and initial system configuration. - General Troubleshooting: Investigate and resolve customer-reported issues related to data discrepancies, configuration errors, and platform behavior. - Standard Configuration Installation: Assist with standard configuration setup for new customers by following established implementation processes and documentation. The essential requirements of the job include: - Education: Bachelor’s degree in Information Systems, Business Administration, or a related field, or equivalent practical experience - Experience: 1–3 years of experience in data migration, data analysis, system configuration, or a related technical role - SQL Proficiency: Demonstrated ability to write and execute SQL queries for data extraction, transformation, and validation - Data Migration Experience: Hands-on experience performing data migrations, including source-to-target mapping, data transformation, and validation - Technical Tools & Data Handling: Advanced proficiency in Microsoft Excel (e.g., large datasets, VLOOKUP) and experience working with structured data formats such as CSV, Excel, and XML - Bilingual fluency in Spanish is preferred TraceGains is proud to part of the Product Quality & Innovation segment of Veralto (NYSE: VLTO), a $5B global leader dedicated to ensuring access to clean water, safe food and medicine, and trusted essential goods. When you join Veralto’s vibrant global network of 16,000 associates, you join a unique culture and work environment where purpose meets possibility: where the work you do has an everyday impact on the resources and essentials we all rely on, and where you’ll have valuable opportunities to deepen your skillset, pursue your ambitions, and grow your career. Together, we’re Safeguarding the World’s Most Vital Resources™—and building rewarding careers along the way. We anticipate this requisition will be open for a minimum of five days, though it may be open for a longer period of time. We encourage your prompt application. US ONLY: The below range reflects the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range. This range may be modified in the future. An associate’s position within the salary range will be based on several factors, including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue-based metrics, any collective bargaining agreements, and business or organizational needs. The compensation range for this role is $60,000 - $80,000 USD per year. This job is also eligible for Bonus Pay. We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law. US residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Veralto Corporation and all Veralto Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. We value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes. The EEO posters are available here. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us at applyassistance@veralto.com to request accommodation. Unsolicited Assistance We do not accept unsolicited assistance from any headhunters or recruitment firms for any of our job openings. All resumes or profiles submitted by search firms to any employee at any of the Veralto companies, in any form without a valid, signed search agreement in place for the specific position, approved by Talent Acquisition, will be deemed the sole property of Veralto and its companies. No fee will be paid in the event the candidate is hired by Veralto and its companies because of the unsolicited referral.

• Diseñar, construir y mantener pipelines de datos (ETL/ELT) en entornos batch y streaming. • Desarrollar soluciones de ingesta y procesamiento de grandes volúmenes de datos estructurados, no estructurados y semi-estructurados. • Crear productos de datos que respondan a necesidades analíticas del negocio. • Diseñar e implementar modelos de datos escalables bajo enfoques como Data Vault, Estrella y Copo de Nieve. • Construir soluciones bajo arquitecturas modernas como Lakehouse y aplicar principios de Data Mesh. • Implementar buenas prácticas de integración continua y despliegue continuo (CI/CD) utilizando Azure DevOps. • Colaborar con equipos de negocio para entender requerimientos y proponer soluciones basadas en datos. • Trabajar de la mano con científicos de datos para habilitar casos de uso de inteligencia artificial y machine learning. • Participar activamente en la planificación y ejecución de proyectos de ingeniería de datos.