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Designs data pipelines, models NoSQL data in MongoDB, and builds dashboards with Metabase for AI and web products, integrating with Node.js backends.
Design and maintain data pipelines and ETL processes to support AI/ML models and quantum computing applications using Python, SQL, and cloud platforms.
Designs and builds scalable Azure Databricks data pipelines using PySpark and SQL to transform and optimize data for a modern lakehouse platform.
Data Engineer builds pipelines and models to link bio-sample identifiers with internal datasets for a pharmaceutical company’s GenAI initiative, using Spark, AWS, and CI/CD.
Lead the design and development of scalable data pipelines and architectures for a healthcare company, ensuring data availability and quality for analytics.
Build and own haddock’s data infrastructure from scratch, designing pipelines and models that power AI agents and analytics for restaurant back-office software.
Build and maintain cloud data pipelines and ML solutions on GCP, AWS, and Azure using Python, SQL, dbt, and API-first architectures.
Build and optimize data pipelines (ETL/ELT) in Azure to integrate and clean hotel and guest data, enabling analytics and Power BI dashboards for business decisions.
Builds and maintains scalable data pipelines for BNP Paribas using Scala, Spark, Airflow, and cloud storage, ensuring data quality and security while collaborating with cross-functional teams.
Senior PySpark Data Engineer builds scalable data pipelines in Python and SQL to power Lookiero’s ecommerce personalization platform.
Builds and maintains scalable data pipelines using Spark, Airflow, and Scala, ensuring secure, high-performance data infrastructure for business needs.
Build and maintain clean, scalable data pipelines and warehouses, integrating AI solutions for a retail-planning SaaS team.
Builds scalable data pipelines and modern analytics platforms using Databricks, Spark/PySpark, and cloud tech to process and analyze large datasets.
Designs and scales graph-based data infrastructure using RDF graphs, ontologies, and semantic pipelines to power a knowledge graph platform.
Data Engineer building and maintaining scalable pipelines for a banking client using Python, Scala, Spark, Airflow, and Kubernetes.
Designs, builds, and optimizes Azure-based data pipelines and architectures using PySpark, Delta Lake, and Databricks to ensure efficient, secure data flows between systems.
Senior Full Stack Engineer building secure, scalable digital banking solutions using Java/Spring Boot and React in a DevOps-oriented team.
Designs and builds scalable GCP data pipelines for clients, defining cloud architectures and leading data ingestion/transformation processes.
Senior Full-Stack Developer building enterprise apps with Java, Spring Boot, Angular, and REST APIs, integrating AI into the software development lifecycle.
Build and optimize scalable ETL/ELT pipelines, populate data warehouses and lakes, and secure tenant data for AI-powered analytics across Emburse’s products.
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