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Lead a team to design and deploy Snowflake-based data architectures, build high-performance ETL/ELT pipelines, and productionise AI models for clients using Snowpark ML and Cortex.
Design and maintain scalable data pipelines and Lakehouse/Warehouse solutions using Microsoft Fabric to modernize SCC’s analytics platform and integrate clinical, finance, and operational data for trusted insights.
Builds scalable, AI-enabled data pipelines on AWS and Databricks, integrating MCP servers and ensuring cross-platform data governance for enterprise clients.
Builds scalable AI-enabled data pipelines on AWS and Databricks, integrating MCP servers and leveraging AI tools to automate and optimize engineering workflows.
Builds scalable data pipelines and AI-enabled integrations on AWS and Databricks, leveraging MCP servers and modern data engineering practices.
Build and maintain Scope’s Microsoft Fabric data platform, integrating sources, developing lakehouse/warehouse assets, and creating metadata-driven pipelines for reporting and future AI use cases.
Design and build enterprise-scale AWS data platforms and Lakehouse solutions using Spark, Python, and Apache Iceberg, leading architecture through implementation and optimization.
Builds and maintains TIBCO Spotfire dashboards for clinical trial data, integrating with Databricks and other sources to support patient monitoring and reporting in a regulated healthcare environment.
Data Engineering II RealTime CDP Position Summary: We are seeking a Data Engineer II preferably Full Stack Engineer, to focus on core data engineering work within our RealTime Customer Data Platform (CDP). This role…
Builds and maintains secure data pipelines for a sensitive government project using Python, Spark, Hadoop, and Kafka, ensuring data quality and compliance with RBAC/ABAC models.
Build and maintain AWS-based data pipelines for Safran Aircraft Engines, ingesting MES/ERP/PLM and IoT feeds, transforming them in a medallion lakehouse, and enabling business teams with Power BI dashboards.
Design and deploy robust AWS-based data pipelines and Lakehouse architectures for analytics and governance, integrating Snowflake and supporting GenAI/MLOps initiatives.
Design and maintain real-time data pipelines from MES/ERP systems into an AWS Lakehouse using PySpark, Redshift, and Glue, ensuring data quality and traceability.
Build scalable real-time data pipelines and streaming architectures to power trading, risk, and asset management systems using time-series and lakehouse designs.
Design and lead enterprise-scale Data & AI solutions on Microsoft Azure, using Fabric, Databricks, and Purview to build scalable analytics and AI platforms for clients.
Design and lead enterprise-scale Azure data platforms and AI solutions using Fabric, Databricks, Synapse, and Power BI to modernize analytics and enable AI/ML workflows.
Designs and leads Azure-based data lakehouse and GenAI solutions, setting enterprise data strategy and guiding teams to deliver AI-driven business impact in the UAE.
Lead the build and governance of Americana’s cloud data platform (Azure Synapse/Fabric), Power BI semantic layer, and AI-ready data foundation across 13 markets and 2,749+ restaurants.
Lead a data engineering team to build and operate a secure, scalable Databricks lakehouse on Azure for banking analytics, AI, and regulatory reporting using Kafka, dbt, and Unity Catalog.
Design and optimize scalable data platforms and pipelines using Python, PySpark, and Databricks to build Lakehouse architectures and cloud-native data lakes/warehouses.
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