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Build and maintain scalable data platforms on Databricks and cloud providers (Azure/GCP/AWS) to enable data-driven decision-making for EY clients.
Leads the technical roadmap for a healthcare data platform’s data ingestion, MDM, and remediation engines, focusing on FHIR-based pipelines, Spark/Databricks architectures, and scalable patient record matching.
Lead the product vision for Smile’s high-throughput healthcare data platform, transforming raw clinical records into clean, unified patient records using Apache Spark, Databricks, and FHIR-based MDM systems.
Responsibilities: • Lead technical study into a propose solution, while involving expertise from infrastructure big data expert, business analyst requirement • Document proposed design and develop the solution •…
Designs and runs tests for data pipelines and Snowflake data warehouse to ensure accuracy and consistency of enterprise data platforms.
¡En Ayesa Digital crecemos Contigo! Cada profesional de nuestra empresa es importante para nosotros, nos ayudan a crecer de manera diversa y gracias a ellos somos más de 11.000 personas trabajando con el mismo objetivo…
Designs and maintains scalable data pipelines and cloud infrastructure to ingest, process, and serve clean data for analytics and operations using Python, SQL, ETL tools, and cloud platforms.
Lead the design and delivery of a new cloud-based credit risk data domain using AWS, Java, and real-time data technologies to build secure, scalable pipelines and data products.
Build and deploy data/AI solutions (e.g., knowledge-graph chatbots) for a government screening agency, working across cloud and on-prem environments while ensuring security and privacy compliance.
Senior Java developer building and maintaining a regulated exchange’s distributed, event-driven backend in Java, with blockchain integrations and automated testing; supports production and mentors junior team members.
Designs and maintains scalable GCP data pipelines using Terraform, CI/CD, and Spark/Beam, while optimizing cloud infrastructure for analytics and data products.
Build and maintain GCP-based data pipelines using BigQuery, Dataflow, and Pub/Sub, optimizing for performance, cost, and reliability while collaborating with analytics teams.
Build and optimize ETL pipelines, data warehouses, and schemas to power a relationship-mapping platform that surfaces decision-maker insights for Fortune 500 clients.
Senior Learning Data Scientist building AI-driven analytics, predictive models, and dashboards to optimize training and certification programs using Python, TensorFlow, and Power BI.
Design and build scalable, secure AWS data platforms and lakehouse architectures using Lambda, Glue, S3, and Lake Formation.
ALM Services Technology Group develops end–to–end Web and Mobile Solutions. We work closely with customers usually in long term relations. Our mission is to create the best possible environment of work for our people ,…
Job Summary We are seeking an experienced Quantexa Data Engineer to design, develop, and support enterprise-scale data engineering solutions using the Quantexa platform. The ideal candidate will have strong expertise…
Senior Data Engineer at an Adtech company building and scaling a big data identity graph using Python, Spark, cloud platforms (AWS/GCP/Azure), and integrating AI/LLMs.
Design and build scalable IoT data platforms for embedded and industrial systems, implementing batch/streaming pipelines, data contracts, and governance to support smart factories and connected products.
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