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Design and optimize scalable data models using dbt and Snowflake to transform raw data into reliable datasets. You will collaborate with stakeholders to define requirements, implement data quality checks, and manage semantic layers to standardize business metrics.
Data Engineer owning and scaling tracking data infrastructure that captures millions of user events daily, building ELT pipelines with Python, SQL, Airflow, Snowflake, and AWS.
At Statista , we’re all about facts and data, for we are the world's leading business data platform. By providing reliable and easy-to-use data as well as various data analytics products and services, we empower…
Build and operate ELT pipelines and a unified healthcare data ontology on AWS/Snowflake, using Python, SQL, and orchestration tools like Prefect or Airflow.
Data Engineer at Statista works with analysts and stakeholders to design, build, and improve data workflows, backend services, data pipelines, and AI agents. Core technologies include Python, SQL, Git, and experience with AI-powered applications using LLMs and modern AI APIs.
Build and lead the customer-facing data intelligence platform for hospitals, designing full-stack TypeScript apps, advanced visualizations, and LLM-driven interfaces over cloud data warehouses.
Designs and maintains Python-based backend services, data models, and pipelines for a global business data platform, using AWS, Kubernetes, Kafka, and Snowflake.
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