... Expertise Data Design & Architecture - Data modeling and schema design. - Experience designing data warehouses, data lakes, and data schemas. - Deep understanding of data flows, lifecycle, and enterprise data frameworks. Databases & Data Management - Proficiency in relational and non-relational databases (SQL, NoSQL). - Strong ...
About the role At Izertus, we are looking to expand our team with the addition of a Data Analyst to join an important client in the public institutional sector. The main tasks will be: Technical support and engineering consulting in the processes of obtaining and installing HW/SW materials. The main tasks will be: What ...
About the role We are looking for a Data Platform Engineer (Databricks and Power BI) fluent in English - Data Platform Engineer - (Databricks and Power BI) - Michael Page SSC What you'll do Purpose of the Role: The Data Platform Developer's key responsibilities are to design and implement technical data solutions based ...
... organization's data infrastructure, developing long-term data architecture strategies and contributing to data governance initiatives. - Manage enterprise-level data systems and infrastructure, designing and implementing advanced data processing frameworks, scalable data warehouses, and data lakes. - Act as an expert in multiple ...
... support incident analysis. Key Responsibilities - Develop, maintain and support scalable data pipelines, data models and data infrastructure. - Build engineering data products used by product teams, Data Science and other stakeholders. - Partner with the BI team to design and develop data models and provide data-modelling guidance. ...
... datos Apache Kafka Snowflake PySpark Almacenaje de datos Sector Programación, Consultoria y otras Activ. informaticas Descripción Desde EXIS-TI buscamos un/a Data Engineer con 2-3 años de experiencia para incorporarse a un proyecto tecnológico dentro del sector bancario , participando en las tareas del Datahub de Markets ...
... tratamiento de datos más comunes en alguna de las cloud más habituales: GCP: Dataflow, Dataproc, Pub/sub, Composer, BigQuery,... Estar familiarizado con términos como DataOps, Data Observability, Data Mesh, etc. Experiencia previa en consultoría dentro del mundo de data & analytics. Se valora de forma muy positiva tener formación ...
... They build the data infrastructure and AI foundations that power Adikteev's internal operations. Their mission spans three areas: modernising data pipelines and datalake architecture, improving internal and external reporting, and deploying agentic AI use cases across all departments. WHAT YOU WILL DO - Keep our data infrastructure ...
About the role Are you looking for a new professional challenge? At Randstad we are looking for a Data Analyst to join a key 6-month project at a major multinational company. If you are passionate about turning complex data into strategic decisions and have experience in financial modeling and capacity planning, this is ...
About the role SIX is recruiting a data platform engineer to work on the company wide data platform. In this role, you will be part of a cross-functional team responsible for both designing and implementing a reliable platform for analytics and data science, as well as consulting internal customers who use the platform ...
About the role Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the world's health data secure, accessible and actionable, we provide critical data solutions for organizations across the healthcare ecosystem - including providers, health plans, researchers, and life sciences ...
... accommodate a healthy work-life balance. About the company & team Within a larger Data Science, Search and Content team of about 100 people (of which 40+ are Data Scientists and ML Engineers), we are a team of 8 Data Scientists located in Belgium, Spain & the US that work predominantly on IP data and products (trademarks, ...
... Leader (Data Business Partner), you will lead and coordinate teams for the analysis, design, and development of analytical and informational solutions in the Data Office area (Clients & Data). Your goal is to manage Big Data projects, ensuring efficient delivery aligned with the business strategy, while promoting innovation, ...
... Prioritise Demand: Work with business stakeholders to clarify their data needs, translating vague requests into well-defined, measurable projects and technical data requirements that can be handed over to the Data Teams - Manage the Business Unit's Data Portfolio: Oversee the pipeline of data projects, data products and initiatives ...
... designing and implementing enterprise data platforms and architectures. • Strong experience with Google Cloud Platform services such as BigQuery, Cloud Storage, Dataflow, Pub/Sub, Dataproc, Composer, and Vertex AI. • Proven expertise in modern data architectures including data lakes, data warehouses, and lakehouse patterns. ...
About the role Your role: The main function of the position of Data Scientist Specialist will be to collaborate closely with other Data Scientists, Data Engineers, and various business areas to identify, design, and implement advanced analytics solutions that generate a direct impact on key performance indicators, improving ...
About the role MISSION As a Data Team Leader (Data Business Partner), you will lead and coordinate teams for the analysis, design, and development of analytical and informational solutions within the Data Office area (Clients & Data). Your goal is to manage Big Data projects, ensuring efficient delivery aligned with the ...
... our best and brightest problem solvers, deployed to the front-lines to work in Product Teams and deliver rock star solutions 🤘 We’re looking for a superstar Data Analyst who does not believe there is a data task that can be too hard 🦬 From digging into our complex databases, looking for the root cause of a problem to ...
... databases, files, external systems). - Develop data transformation and enrichment processes, ensuring quality, traceability, and efficiency. - Design and optimize data models for analytics and reporting. - Work with Azure services such as: - Azure Data Factory for pipeline orchestration. - Azure Data Lake Storage for data storage. ...