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About AppDirect Pour la version française de cette description de poste, veuillez consulter le lien suivant / For the French version of this job description, please refer to the following link: Ingénieur(e) de données…
Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the…
Hey! Get ready to set sails and navigate the rindus wave. We're rindus, a People company. We love IT professionals and our passion is to help and empower our crew to get the best out of themselves, unfold their…
Senior Solution Engineer at Snowflake designs and demonstrates data platforms, builds AI-powered demos, and guides enterprises on Snowflake’s Data Cloud for analytics and ML.
Build and maintain PineStone’s data pipelines and warehouse in Snowflake using dbt and Matillion to feed investment analytics, reporting, and AI-driven workflows.
Build and own a reliable analytics data layer using Snowflake, dbt, and Metabase to power business decisions and enable self-serve reporting for a SaaS platform serving the promotional products industry.
Build and maintain data pipelines in Snowflake, SQL Server, and PostgreSQL to feed analytics and reporting for an insurer’s underwriting, claims, and policy systems.
Build and optimize Snowflake-based data pipelines and analytics platforms for fintech clients, using Snowpark, dbt, and FastAPI to deliver secure, scalable data products.
Senior Data Engineer builds and maintains Snowflake/dbt lakehouse pipelines and data products that power analytics and customer-facing dashboards at a global subscription-commerce platform.
Build and maintain scalable ETL/ELT pipelines and data warehouses using Python, SQL, and cloud platforms to power analytics and AI products.
Build and maintain cloud-based data pipelines and transformations using GCP, Python, SQL, and dbt to turn raw data into business insights for clients.
Build and scale high-throughput data pipelines and AI-driven marketing infrastructure for a global travel subscription platform, using Python, SQL, dbt, Dagster, and Google Cloud.
Build and scale Ramp’s growth platform backend, including data ingestion pipelines, AI-driven unstructured data processing, and internal experimentation tools to drive user acquisition and engagement.
Builds and maintains scalable data pipelines and warehouse infrastructure in AWS/Azure to power reporting and analytics for a healthcare data collaboration platform using Python, SQL, dbt, and Airflow.
Builds and deploys production-grade AI/data pipelines: LLM apps (RAG, agents), graph/ETL workflows, and cloud-native data platforms using Python, FastAPI, Airflow, Snowflake, and vector stores.
Build and maintain robust ETL pipelines and cloud data infrastructure to ensure high-quality, reliable data flows for analytics and decision-making using AWS, Python, and modern data stack tools.
Build and maintain cloud-based data pipelines and transformations using GCP, Python, and SQL to turn raw data into business insights for enterprise clients.
Build and maintain the data pipelines and retrieval layer that power Mirai’s Generative AI products on AWS, including vector stores, embeddings, and governed datasets.
Senior Solutions Engineer partners with SI firms to architect and demo Snowflake-based data pipelines and solutions, leveraging PySpark, SQL, and cloud tooling to enable joint customer engagements.
Design and build enterprise-scale data platforms using SQL, Python, Snowflake, and dbt to power analytics, AI-enabled apps, and secure data products for a global cybersecurity leader.
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