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Build and maintain high-performance Databricks pipelines in Python and SQL to power AI and analytics for enterprise clients in finance, healthcare, and tech.
Designs batch and streaming data pipelines and analyzes large datasets using SQL, Python, and Scala, collaborating with data engineering teams.
Design and build modern data platforms using Microsoft Fabric (Lakehouse, OneLake, Data Factory) and Azure DevOps, delivering analytics and AI solutions for enterprise clients in Australia.
Design and lead a modern, cloud-agnostic enterprise data ingestion framework, building scalable pipelines across GCP, AWS, and Azure while embedding governance, quality, and security controls.
Designs and builds scalable Azure Databricks pipelines using PySpark and Delta Lake to implement ETL/ELT frameworks across a lakehouse architecture.
Builds and optimizes scalable data pipelines on Azure using Databricks, PySpark, Delta Lake, and related services for ETL/ELT and streaming workloads.
Designs and maintains an AWS-based Data Lake, optimizing batch/streaming pipelines with Spark, Python, and Kafka to ensure scalability and performance while collaborating on data architecture and incident resolution.
Design and maintain AWS-based data pipelines and a corporate Data Lake, using Spark, Python, and Kafka to process batch and real-time data for banking and insurance clients.
Build and maintain AWS-based data pipelines and Data Lake frameworks using Spark, Python, and Kafka to process batch and real-time data at scale.
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.
Design and build scalable data pipelines using PySpark, Spark SQL, Kafka/Event Hub, and Delta Lake to deliver clean, analytics-ready data for cybersecurity insights.
Build and optimize scalable data pipelines on Databricks to ingest cybersecurity logs and network data, curating high-quality datasets for analytics using PySpark, Spark SQL, and Delta Lake.
Do you want to help solve the world's toughest business problems with Data and AI? This is what we do every day at Databricks. We are looking for an Enterprise Sales Director to lead our growing Public Sector…
Sumitomo Mitsui Banking Corporation Asia Pacific is seeking a VP/Director of Data Framework Engineering to lead the design, development, and lifecycle management of reusable data engineering frameworks supporting the…
Design and build scalable data pipelines, warehouses, and lakes using Python, SQL, Spark, and cloud platforms to power analytics and decision-making.
Builds and deploys forecasting models (sales, returns, inventory) for retail using Python, SQL, Databricks, and MLflow, with a focus on model interpretability (SHAP/LIME) and end-to-end ML pipelines.
🚀 ¡Seguimos buscando talento… y nos encantaría que te unieras a nuestro equipo! Para que nos conozcas algo mejor, UST es una multinacional norteamericana certificada como Top Employer, con más de 35.000 empleados a…
¡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…
P-78 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical…
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