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Build and maintain open-source data analytics and ML platforms using Python and Kubernetes for AI/ML workloads in a global team.
Build and maintain an Analytics Factory for large clients, designing data pipelines, optimizing flows, and transforming raw data into dashboards using SQL, PowerBI, Scala, Spark, and Lakehouse architectures.
Build and maintain automated data pipelines, model corporate data in Snowflake, and create department-specific views to power analytics for Finance, HR, IT, and Operations.
Senior Python engineer to modernize a strategic data platform using Spark and AWS, collaborating with Data and Architecture teams in an Agile environment.
Build and maintain a Python-based data-processing orchestration platform in AWS, collaborating with data, product, and architecture teams to modernize a strategic data system.
Design and maintain KPI reports and dashboards, ensure data quality, and build pipelines using SQL and Kafka for finance-to-cash processes.
Build and maintain ETL/ELT pipelines, data storage, and processing systems to support analytics and AI for public-sector and energy projects.
Senior AWS Data Platform Engineer builds and maintains a modern AWS-based data lake/lakehouse to power generative AI and customer/ESG analytics for a major bank.
Designs and scales graph-centric data infrastructure for aerospace simulations and analytics using Python/C++/Rust, ensuring secure, high-throughput data services and APIs for mission-critical workflows.
Build and automate a self-service Kafka-based streaming data platform for teams, using Kubernetes, GitOps, and CI/CD to replace legacy ETL and accelerate the Data Platform transition.
Build and maintain scalable, reliable data infrastructure using ClickHouse, CockroachDB, Trino, and Kubernetes, plus AWS services and Terraform.
Data & AI Engineer builds and deploys insurance-focused AI use cases, from data exploration to production, with strong data workflow and cybersecurity elements.
Build and optimize a ClickHouse-based analytics platform for a telecom client, maintaining Kafka pipelines, refactoring schemas, and mentoring teams on best practices.
Build and maintain a patient data warehouse using SQL, Python/R, and OMOP CDM to ensure data quality and governance for a healthcare-focused product team.
Build and maintain AI-ready data pipelines and platforms to accelerate drug discovery and development in a hybrid R&D team.
Atol Conseils et Développements recherche un Ingénieur Data confirmé pour accompagner des projets BI et Data Analytics. Vous interviendrez sur des architectures data robustes, des pipelines fiables et des…
Build and maintain data pipelines, model tables in Snowflake, and create Metabase dashboards to help a fast-growing French proptech SaaS optimize its fiscal-property platform.
Build and deploy scalable data pipelines and ML infrastructure for AI projects, using DevOps practices like CI/CD, Kafka, and Terraform.
Build and maintain data pipelines and cloud infrastructure for clients, focusing on Snowflake data warehousing, Data Clean Rooms, and cloud platforms like GCP, Azure, and AWS using Python, SQL, Docker, Terraform, and Airflow.
Build and maintain modern data platforms on Azure, designing data pipelines, warehouses, and CI/CD workflows while advising clients on tech choices and best practices.
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