• Liderar el diseño, desarrollo y optimización de soluciones de datos basadas en Snowflake para clientes empresariales • Trabajar estrechamente con el arquitecto interno del cliente y los equipos de entrega para dar forma a una arquitectura de datos escalable, segura y de alto rendimiento • Desafiar decisiones técnicas con confianza, aportando un sólido punto de vista basado en las mejores prácticas de Snowflake • Evaluar plataformas de datos, canalizaciones y patrones actuales, luego identificar oportunidades de mejora y optimización • Diseñar e implementar canalizaciones de datos robustas para soportar análisis y reportes • Desarrollar y optimizar capas de transformación de datos usando SQL, Python y prácticas modernas de ingeniería de datos

Este es un puesto de trabajo remoto. We are looking for a Senior Data Engineer to design, build and maintain scalable data systems that support analytics and machine learning initiatives. This role operates in a hybrid environment (SaaS and on-premise) and plays a key part in structuring and optimising the data flow across the platform. Responsibilities: Design, develop and maintain scalable ETL/ELT data pipelines using Python Process and integrate data from multiple formats and sources, including JSON, CSV and XML Build and manage data transformations and orchestration flows using DBT and tools such as Airflow, Prefect or Dagster Ensure data governance, quality and security standards are upheld across data systems Extend, maintain and optimise the Elastic Hierarchy data framework Work closely with analytics, machine learning and product teams to deliver reliable, business-ready datasets Support data operations in hybrid environments (SaaS and on-premise) Requisitos Requirements / Skills: Undergraduate or postgraduate degree in Computer Science, Data Engineering or a related field Solid experience in Python development Experience with the AWS data ecosystem, including services such as S3, Glue, Lambda, EMR, EC2, Redshift and RDS Practical experience with Snowflake, MongoDB and PostgreSQL Experience with DBT and at least one orchestration tool (Airflow, Prefect or Dagster) Knowledge of data mapping, attribution and reconciliation processes Ability to work in hybrid and on-premise environments High level of English, both written and spoken

About the Business: LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertically, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, https://risk.lexisnexis.com About our Team: This group is collaborative and supportive, with members committed to each other's growth. Successful teams here are quick learners who adapt, deliver value, and work well together. You will design automation strategies for critical applications and data infrastructure, support adoption of AI tools for engineering productivity, and help engineers build, monitor, and maintain high-quality products for clinical data use cases. About the Role: A senior Data QA & automation engineer is needed to direct quality assurance activities for the enterprise data lake platform. This position involves developing thorough testing protocols, possessing substantial knowledge in both general and data quality validation, and utilizing AI tools to enhance engineering effectiveness for the team. Responsibilities: - Test Automation & Integration: architect and maintain end-to-end testing frameworks to support a variety of engineers working across various services (APIs, UI/UX, data pipelines, serverless applications). - Testing Protocol Establishment: define and inform best practices on maintaining quality metrics across our data and application platforms. - Data Quality and Validation: design and implement frameworks to help profile, monitor, proactively detect issues with critical data products. - AI-leveraged Engineering: leverage LLMs to accelerate tasks like test case generation, document creation, code review, synthetic/test data generation. Requirements: - 5+ years in quality focused automation engineering, with a strong understanding of how to set a high bar for quality for complex applications and data systems - Self-starter and ability to drive impact with minimal high-level direction - Strong programming skills in Python or node.js, and CI/CD tools - Experience building internal tools, automation scripts, and operational dashboards. - Solid understanding of microservices, APIs, and backend architecture principles to design and develop effective internal tools and operational workflows. - Experience with distributed systems and cloud computing (AWS, Azure, GCP) - Has worked with data-intensive systems (distributed datastores, data warehouses/lakes, big data processing) Preferred Qualifications - Experience with HIPAA or other compliance-heavy industries - Experience with infrastructure as code (Terraform, Cloudformation) - Background in data and analytics Technical Skills: - Programming: Python, node.js, SQL - Data Technologies: Apache Spark, Kafka, Delta Lake, Databricks, Looker - Cloud Platforms: AWS, Azure, GCP - Testing Tools: Playwright, pytest, Jest, great expectations or similar tools. - Automation: Jenkins, Gitlab CI, Github Actions, Apache Airflow - Monitoring: Datadog, Prometheus, Cloudwatch Working for you: We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: ● Private Medical/Dental Plan ● Savings Fund ● Life Insurance ● Meal/Grocery Voucher We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.

• Develop and maintain Looker data models, including LookML, models, and explores • Build and optimize scalable, consumable data models to support business intelligence and strategic decision-making • Utilize Looker API 4.0 to enable programmatic access to dashboards, looks, and explores • Automate report generation and delivery using Looker API endpoints • Write and optimize complex SQL queries to improve performance and efficiency • Work with Snowflake, dbt, and Python to support data transformation and pipeline development • Collaborate with stakeholders to translate data requirements into scalable BI solutions • Ensure data accuracy, consistency, and performance across reporting layers