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Builds and maintains Azure-based data pipelines and cloud infrastructure to ingest, transform, and deliver business-ready datasets for analytics and reporting.
Build and scale AWS Catalog services that manage data lakes, metadata, and discovery for analytics and AI, working on distributed systems powering cloud data infrastructure.
Design and build scalable cloud data platforms on GCP and Snowflake to power analytics and insights for a global payments company.
Build and optimize data pipelines, warehouses, and feature stores that power AI-driven CRM insights using SQL, Python, Spark, and Airflow.
Build and deploy AI/ML models and data pipelines for a large financial-services company, integrating predictions into member-facing services using Python, SQL, Java, and cloud platforms like AWS.
Build and deploy AI/ML models and GenAI applications, including sentiment analysis and agentic AI, using Python, SQL, and cloud platforms like AWS SageMaker.
Lead a team to design scalable data pipelines and data lake solutions, mentor engineers, and drive architectural decisions for Lowe’s enterprise systems using SOA, REST/SOAP services, and CI/CD practices.
La data et le Machine Learning sont aujourd’hui au cœur des stratégies de transformation des entreprises. Nous les mobilisons comme de véritables accélérateurs de performance, en industrialisant les cas d’usage IA de…
Lead a team to build and maintain Samsara’s petabyte-scale data platform, driving AI transformation and scalable infrastructure for IoT-driven operations across industries like agriculture, construction, and transportation.
Build and maintain data pipelines that feed medical analytics models, ensuring data scientists have clean, reliable datasets for care-gap and HCP prioritization work.
Lead the design and delivery of secure, scalable data platforms for corporate KYC and risk assessment, including agentic AI systems and LLM-based applications in a regulated financial environment.
Design and build scalable data pipelines using Snowflake, Iceberg, S3, and Kafka to power analytics and reporting for a large financial firm.
Own the product strategy for a unified data publishing and processing platform that standardizes ingestion, transformation, and delivery for AI-driven decisions across JPMorgan Chase.
Designs and governs enterprise-scale data architecture, models, and standards to support analytics and business transformation using TOGAF/DAMA principles.
Entry-level role assisting senior engineers in building and maintaining government data pipelines, monitoring performance, and ensuring data quality using SQL, Python, and cloud platforms.
Build and maintain data pipelines, clean and standardize datasets, and ensure high-quality data access for analytics using Python, .NET/C#, SQL, Databricks, PySpark, and AWS.
Analyze player behavior and game metrics to advise product teams on improving user acquisition, engagement, and monetization using Python, SQL, and ML.
The Senior Manager of Business Process is responsible for mapping workflows to outcomes and leverage Jira while maintaining a strategic vision for our expanding SaaS ecosystem (serving as the primary owner for our…
Build and scale Patreon’s data pipelines and streaming platforms (Kafka, Spark, Airflow) to power real-time features, analytics, and ML systems for creators and fans.
Design and own a cloud-scale data platform on Microsoft Fabric, building ETL pipelines, semantic layers, and AI-ready datasets for enterprise knowledge and retrieval.
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