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Own and tune a StarRocks-backed OLAP serving layer for TRM’s government cloud, hardening pipelines and using AI tools to optimize performance and reliability in a high-compliance, regulated environment.
Build and maintain scalable ML, GenAI, and big-data platforms in hybrid cloud, ensuring high performance and reliability for Apple’s enterprise systems.
Design and validate enterprise data platforms using open table formats (Iceberg), object storage, lakehouse architectures, governance, and streaming pipelines to support AI-ready analytics and compliance.
Senior technical advisor designing and validating MinIO’s AIStor object-storage architectures for AI, analytics, and large-scale data workloads, guiding customers from discovery to production.
Build and maintain a healthcare data warehouse, integrating data pipelines, managing access/security, and ensuring observability for Softway Medical Group.
Build and maintain a secure, scalable data platform for healthcare analytics, integrating patient data pipelines, enforcing privacy standards, and ensuring end-to-end data reliability.
Sr Manager IC, Merchant & Advertiser Data Marts — Analytics Team (Remote-Eligible) The role Own the platform substrate behind Capital One Shopping's merchant and advertiser data — the marts that power Retail…
Sr Manager IC, FinOps & AI Enablement — Analytics Team (Remote - Eligible) The role Own the cost and AI-leverage layer of the analytics platform behind Capital One Shopping — the systems between petabyte-scale data…
Build and optimize cloud data warehouses and ETL pipelines using Spark, Trino, and Python to power AI-driven analytics across Apple’s global teams.
Owns the reliability and performance of Apple’s large-scale data and ML platforms, ensuring high availability and cost efficiency while automating operations and incident response.
Lead the design and delivery of enterprise-scale data platforms for a bank, building scalable Lakehouse architectures with Databricks, Snowflake, and Apache Iceberg/Delta Lake/Hudi to support regulatory reporting, risk management, and AI-driven analytics.
Build the real-time data backbone for a new adtech standard that turns physical retail shopper behavior into anonymized, measurable audiences using edge computing, streaming pipelines, and privacy-preserving AI.
Build the data backbone for a new global Retail Media channel: transform raw sensor streams from thousands of stores into real-time measurement, forecasting, and attribution systems using Spark, Kafka, Trino, and privacy-preserving pipelines.
Build and maintain open-source data, AI/ML, and analytics platforms using Python, Kubernetes, and tools like Kubeflow and MLFlow, deployed across clouds and on-prem.
Build and evolve a global-scale data platform used by hundreds of engineers for analytics, ML, and real-time systems, focusing on distributed compute, storage, and streaming architectures.
Build and maintain petabyte-scale data pipelines using Iceberg, Spark, DuckDB, and Trino, and own the reporting stack behind the Clear UI.
Build and maintain scalable, reliable data infrastructure using ClickHouse, CockroachDB, Trino, and Kubernetes, plus AWS services and Terraform.
Senior Data Engineer building and maintaining Kafka/Spark pipelines for a large bank in Nantes, focusing on data ingestion, transformation, and CI/CD deployment.
Designs, builds, and operates large-scale data pipelines using Iceberg, Spark, DuckDB, and Trino to power reporting and analytics for an HR tech platform.
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