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¡Se parte del principal partner de AWS en Latinoamérica y ayuda a las empresas más grandes e innovadoras a acelerar su viaje a la nube! ☁️ Somos un grupo de profesionales talentosos y apasionados en tecnologías en la…
Builds and maintains data pipelines, models, and integrations for a gambling company’s operational and reporting systems, with a focus on reliability, scalability, and documentation while leveraging AI tools responsibly.
Build and maintain dbt data models in Snowflake to power analytics for a fintech platform that lets workers access pay instantly.
Position Summary As the RAPA Senior Data Engineer, you are responsible for designing, developing, implementing, and maintaining enterprise data solutions that support data-driven decision making across NPCC. This…
Designs and optimizes data-driven systems and processes for a nonprofit university endowment, focusing on Salesforce, CRM, and financial systems integration. Leads technical solutions, automations, and AI adoption while ensuring data integrity and scalability across cloud platforms.
Lead a team building and optimizing SQL Server-based data pipelines and analytics platforms on Azure, focusing on Synapse, Spark, and lakehouse architectures.
Designs and builds Renesas’ enterprise data platform on Azure Databricks, Unity Catalog, and Delta Lake, shaping data ingestion, modeling, and governance for SAP/manufacturing domains while ensuring scalability, security, and data quality.
Builds and maintains integrations/APIs connecting Wrapbook’s production finance platform to accounting/ERP systems and AI agents, ensuring reliable data exchange and scalable architecture.
Разрабатывает и поддерживает ETL/ELT-процессы для загрузки данных в Data Lakehouse, строит трансформации и витрины данных, используя Python, SQL, Apache Airflow и Apache Iceberg.
Designs and builds scalable Snowflake data pipelines using SQL, Python, Snowpark, and dbt to modernize ELT/ETL workflows and optimize performance and costs.
Builds and maintains data pipelines (ETL/ELT) for aerospace/defense programs, ensuring data reliability, performance, and security in complex industrial environments.
Designs and optimizes end-to-end data pipelines for a banking client, bridging cloud (AWS) and legacy Oracle systems using Airflow, dbt, and SAP tools while modernizing data architectures and ensuring data quality, security, and performance in a Pan-Baltic Agile team.
Designs and maintains enterprise geospatial data platforms, integrating structured, unstructured, and spatial data to support analytics and mission-critical decision-making for federal clients.
Designs, builds, and governs enterprise reporting/analytics using Power BI, Azure Data Factory, and Microsoft Fabric, driving data-driven decision-making and AI-augmented insights for a logistics company.
Designs and maintains financial reporting data models on Google Cloud/BigQuery, migrating legacy SAP BW systems while optimizing performance, security, and cost. Builds ELT pipelines, reporting-ready data layers, and MicroStrategy dashboards for analytics and stakeholder collaboration.
Designs and maintains enterprise data architecture for a global travel management platform, focusing on scalable data solutions, ETL/ELT processes, APIs, and data governance to support digital transformation.
Builds and maintains scalable data pipelines, ETL processes, and dashboards for publishing companies (e.g., Droemer Knaur, Rowohlt) using Python, SQL, BigQuery, Kubernetes, and cloud platforms (Azure/Google Cloud).
📊 Senior Data PM Un dashboard de plus qui dort dans un drive parce que personne ne l'a jamais vraiment exploité - tu as déjà vu ça, et tu sais exactement ce qu'il aurait fallu faire à la place. Ce n'est…
Why this role matters As an experienced Data Engineer at Exness in Limassol, Cyprus, you will play a critical role in the Technology department, focusing on developing our data platform through the assembly of complex…
Build and maintain Exness’s data platform in Limassol, Cyprus, designing scalable data warehouses, ETL/ELT pipelines, and analytics-optimized databases to ensure reliable, high-quality trading data for over a million clients.
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