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This role involves developing and maintaining data engineering processes within the Microsoft Fabric and Azure ecosystem. The engineer will design data pipelines, manage PySpark notebooks, ensure data quality and security, and implement CI/CD automation.
Senior Data Engineer migrating a legacy Netezza environment to Databricks, building scalable batch and streaming data pipelines with PySpark to modernize a customer-facing retail data platform.
Construção e manutenção de pipelines de dados escaláveis e confiáveis, utilizando tecnologias modernas de processamento distribuído para garantir a ingestão, transformação e disponibilização de dados com qualidade e…
At The Coca‑Cola Company, we believe data is the foundation for creating personalized experiences and powering sustainable growth in today’s digital-first world. As consumers engage with our brands in more connected…
Designs and builds scalable data pipelines in Scala/Spark on Microsoft Fabric/Synapse, optimizing batch and streaming workloads for enterprise analytics at Coca-Cola.
Designs and maintains end-to-end data systems for a Singapore government agency, focusing on pipelines, storage, and data quality while contributing to broader system architecture.
The Data Engineer will build and scale data infrastructure for traffic and road analytics, managing the full data lifecycle using AWS, SQL, and Python. The role involves developing ETL pipelines, ensuring data quality, and implementing CI/CD automation within a government environment.
Design and own scalable data pipelines and lakehouse architectures for Visa Hunt, supporting analytics and future AI/ML use cases while ensuring data quality and governance.
This role involves building and deploying LLM-based agentic solutions for healthcare insurance payment integrity. You will work across the full machine learning lifecycle, developing data pipelines and evaluation frameworks to create explainable AI tools for claims handling.
Leads a US healthcare-focused AI team to build autonomous, explainable AI agents for insurance payment integrity using LLMs and agentic frameworks, ensuring compliance and scalability.
Hay proyectos de datos donde el reto no está solo en mover información de un sitio a otro. Está en diseñar pipelines que escalen, modelos que respondan bien bajo carga, procesos robustos de ingesta y transformación, y…
Senior Data Engineer(Databricks) Location: Remote from Spain (an indefinite Spanish employment contract) Asegúrese de que toda la información de su solicitud está actualizada y en orden antes de inscribirse en esta…
¡En Ayesa Digital crecemos Contigo! Compruebe que cumple con los requisitos de habilidades para este puesto, así como con la experiencia asociada, y luego envíe su CV a continuación. Cada profesional de nuestra empresa…
Data Engineer owning the full lifecycle of real-time pricing ML data pipelines, collaborating with Data Scientists and cross-functional teams using Python, SQL, Databricks, dbt, Airflow, and AWS.
This Is Us Ingenious Lion is a Digital Tech Hub designed exclusively for Publicis Groupe, one of the world's leading marketing agencies. As the marketing industry continues to drive digital transformation, Publicis…
Build and maintain high-throughput data backend services in Go and Python, optimizing streaming/batch workflows and cloud-native data platforms for reliability, performance, and cost efficiency.
Cloud/Infra Architect role at TCS in Calgary designing and implementing Azure and AWS cloud solutions, leading large-scale migrations, IaC deployments, and integrating GenAI capabilities into applications.
The Data Analyst will support a large-scale enterprise asset management transformation by designing data models, defining data quality rules, and collaborating with cross-functional teams. The role focuses on the Microsoft Azure stack, including Azure Databricks, Synapse, and Power BI, to improve data structure and reporting capabilities.
Data Engineer placed at client projects across the Netherlands via The.NextGen, a staffing partner. Day-to-day work involves building data solutions using Python, SQL, cloud platforms (Azure/AWS), data warehousing (Snowflake/Databricks), ETL tools, and orchestration frameworks.
Design, build and maintain scalable ETL/ELT pipelines in Databricks on AWS, integrating SaaS platforms and implementing data quality and observability frameworks to power enterprise analytics and AI workloads.
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