... talent team will contact you to get to know you better Start the process! We will guide you through the different phases until your incorporation. Tech Stack - Data platforms and services : Snowflake, Databricks, Cloudera Data Services. - Cloud services : Azure, AWS, GCP (including Fabric, Glue, Redshift, Dataproc, BigQuery). ...
... like, at TDC? I'm glad you asked. As a Data Engineer you will have the opportunity to: - Architect and develop end-to-end scalable and secure processes - ETL data processing in AWS or cloud environments, capable of performing data analytics while ensuring data quality using Spark or Databricks (batch or real-time) - MLOps ...
... and encourage continuous personal and professional development Responsibilities Designing and Building Data Pipelines - Design, build, and maintain scalable data pipelines that ingest data from external systems, transform it, and load it into noSQL databases. - Define and evolve transformation logic to ensure data quality, ...
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 ...
... 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 ...
... volume of information and providing administrative support in a dynamic environment. What you'll do Functions: Order entry and management in the CRM system. Data entry, monitoring, and updating in SAP or ERP. Administrative support to the Customer Service department. Document management and database updates. Tracking and ...
... 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 ...
... 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. ...
About the role Are you passionate about digital transformation and data? If so, this is your opportunity! At Grupo Adecco, we are looking to add a Data Development Consultant to our Technical Office team for the Sales & Marketing division. The main mission of the consultant will be to develop the ITO area strategy in digital ...
... candidates should have hands-on experience with AWS data services and a strong understanding of modern data architectures, including data lakes, lakehouses, and data mesh. They will collaborate with cross-functional teams to deliver scalable data pipelines, data warehouses, and data marts, ensuring data quality, security, ...
... 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. ...
... 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. ...
What you'll do - End-to-end management of master data: creation, modification, enrichment, and maintenance according to standards. - Processing and monitoring requests for the creation, modification, or deactivation of codes. - Correct publication of data in all integrated systems. - Execution of data quality controls and ...
... ensure the security, privacy and traceability of sensitive data in Big Data and Analytics applications. - Knowledge of data transformation and cleaning (ETL, data wrangling). - Experience in conceptual, logical and physical data models (OLTP, Data Warehouse, etc.). - Knowledge of Data Governance and Data Quality. - Management ...
... level, and a track record of leading high-complexity projects from scoping to production with minimal direction. - You are comfortable advising others on complex data science work. - You can develop strategies for ambiguous, complex data science problems and turn them into a series of well-defined projects. - You have hands-on ...
About the role The Data & Analytics Lead position is designed for professionals who wish to lead data analytics projects within the business services sector. The position, based in Madrid, requires a strategic approach and advanced technical skills in the field of analytics. - A growing company - A company with an international ...
... machine learning techniques and data processing. - Proficiency in tools and programming languages such as Python, R, or similar. - Ability to work with large datasets and experience with Big Data tools. - Knowledge of cloud platforms such as AWS, Azure, or Google Cloud. - Analytical skills and the ability to solve complex ...