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Build and maintain Databricks-based data pipelines for Mizuho’s new Data Exchange and Abstraction Layer, using PySpark and SQL to ingest, transform, and validate financial data for enterprise reporting.
Builds scalable analytics solutions using Databricks and dbt to define metrics, track product KPIs, and enable experimentation for media products.
Lead a team to design, scale, and optimize a large data platform while keeping it AI/ML-ready; 60% hands-on architecture and 40% strategy and people management.
Oracle Customer Success Services (CSS) is seeking a Senior Principal Forward Deployed Engineer to lead the delivery of strategic AI and data transformation programs for Oracle's largest enterprise customers. This…
Senior backend engineer building scalable APIs, data pipelines, and cloud-native services in AWS for a healthcare-focused marketing technology platform.
Design and maintain enterprise-scale data pipelines using Azure Data Factory, Databricks, and DBT to ingest and transform structured and unstructured data for analytics and business intelligence at PepsiCo.
Design and lead the next-generation AdTech data platform using Databricks and BigQuery, ensuring scalable, cost-efficient pipelines and mentoring global engineering teams.
Lead a team of ML engineers and architects at an AI-first cloud services company, owning hiring, team growth, and complex customer engagements while shaping AI/ML architectures and driving pre-sales.
Build resilient data pipelines and self-serve tooling for a crypto market maker, ingesting market, trading, and portfolio data to power desks, risk, finance, and AI agents.
Designs and builds AI-powered data pipelines and cloud-native platforms using Python, AWS, Databricks, and Spark, and deploys LLM-driven services and agentic systems.
Principal Data Scientist at Blink Health builds AI-powered analytics and models to improve prescription affordability and patient outcomes using healthcare commerce data.
Build and maintain Power BI dashboards and data models for clients across finance, media, healthcare, and other industries, using SQL, cloud platforms, and data visualization best practices.
Lead a team building cloud-native data platforms on AWS and Databricks, designing scalable Spark/Scala pipelines and AI-enabled services to power global financial systems.
Lead a team building and scaling enterprise data platforms that power Citi’s AI, machine learning, and analytics, designing high-performance pipelines and feature stores for real-time and batch processing.
Design and build scalable data pipelines for a global bank using Python, PySpark, and Databricks on AWS/GCP, ensuring high performance, data quality, and regulatory compliance.
Builds and maintains data pipelines and infrastructure for RAK Bank, ensuring reliable data flow and analytics for financial services.
Securitas Group Securitas is a world-leading safety and security solutions partner that helps make your world a safer place. By leveraging technology in partnership with our clients, we offer a broad portfolio of…
Builds and optimizes data pipelines using Databricks, PySpark/Scala, and Azure cloud services to transform and govern enterprise data in a lakehouse architecture.
Designs and maintains scalable data pipelines using Azure Databricks, PySpark, and SQL to support business intelligence and reporting for a European cloud services provider.
Design and lead the modernization of a multi-cloud enterprise data ingestion framework, building scalable pipelines and governance controls across GCP, AWS, and Azure.
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