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Build and optimize scalable Snowflake-based data pipelines, own data models and governance, and integrate cloud-native apps while collaborating across North and Latin America teams.
Build and scale data pipelines and architecture for a growing product company using Python, SQL, dbt, Dagster, Docker, and Kubernetes.
Build and optimize cloud data pipelines and warehouses (Snowflake/BigQuery) to power AI-driven analytics and BI for global consumer brands.
Build and maintain scalable data pipelines on Databricks and AWS, focusing on ETL, real-time streaming with Spark/Kafka, and cloud infrastructure optimization.
Lead the design and evolution of a robust Data Platform, building certified data products from sales, inventory, logistics and finance datasets to ensure reliable, traceable and actionable business decisions.
Senior Data Engineer builds and maintains HIPAA-compliant data pipelines and models for a healthcare AI product using Python, Dagster, DBT, PostgreSQL, and AWS services.
Build and maintain scalable ETL pipelines and real-time data systems on AWS and Databricks for a regulated crypto exchange serving 18M+ users.
Build and maintain scalable data pipelines and cloud infrastructure using Python, SQL, Airflow, Snowflake, and BigQuery to power analytics and decision-making.
Designs and maintains scalable data pipelines using Snowflake, dbt, Airflow, and AWS to power enterprise analytics platforms.
Designs and maintains AWS-based data pipelines and cloud infrastructure using Python, SQL, and AWS services like Glue and Lambda to build scalable, secure data solutions.
Build and deploy ML models that turn multi-modal retail data into security insights using PyTorch, scikit-learn, and Kubernetes on a cloud-native platform.
Build production-grade ML systems to detect retail crime patterns using computer vision, NLP, and graph analytics, deploying models on a cloud-native stack to power real-time alerts for global retailers.
Build and maintain data pipelines for Finland’s top online store using Python, Dagster, and dbt to move and transform retail data into clean, analytics-ready models.
Build and maintain data pipelines for product information systems, integrating and governing data for e-commerce platforms using cloud tools like Azure and AWS.
Senior Data Engineer builds and maintains cloud data pipelines on AWS Redshift and GCP BigQuery using dbt, Airflow/Dagster, and Python/SQL to power Alma’s B2B data products.
Design and build cloud-based data pipelines and platforms for clients, using Snowflake/Databricks/BigQuery and orchestration tools like Airflow/dbt to enable AI and analytics.
Builds and maintains data pipelines for an e-commerce company using Python, Dagster, and dbt to move data from sources to the warehouse.
Build production-grade applications that integrate data pipelines and ML models into user-facing tools like dashboards and decision-support systems using Python and cloud services.
Build and operate open-source data platforms using Python, Spark, and Kubernetes, focusing on pipelines, orchestration, and data quality for AI-driven analytics.
Build and operate open-source data platforms: pipelines, processing, orchestration, and deployment using Python, Spark, Kubernetes, and observability tools.
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