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Build and maintain large-scale data pipelines and warehouses for a retail-focused analytics platform using GCP BigQuery, SQL, Python, and DevOps practices.
Data Engineer builds and maintains ETL/ELT pipelines and data flows, models data warehouses, and collaborates with business teams to deliver analytics-ready solutions.
Build and scale ML pipelines for banking data at a major European bank, industrializing models for 24M customers in a hybrid Agile team.
Build and maintain scalable, real-time data pipelines and platforms for a product company, focusing on ingestion, transformation, and automation while ensuring data quality and security.
Designs and deploys robust data pipelines and governance frameworks, using SQL and Python/Java/Scala with distributed compute and CI/CD tooling.
Designs and maintains scalable data pipelines and backend systems for government data processing, integrating and optimizing flows with tools like Python and ETL frameworks.
Lead a small team to design and build secure data platforms using Python, Spark, and Hadoop for a product-focused consultancy.
Build and maintain scalable data pipelines on Databricks using Spark, Scala, and Python to integrate and process enterprise datasets for clients.
Build and optimize data pipelines on Databricks and AWS, modeling large datasets for clients in a consulting role.
Builds and maintains data pipelines for marketing analytics, focusing on Marketing Mix Modeling using cloud tools and Airflow to feed predictive models.
Build and maintain automated test suites for AI-driven data pipelines using Playwright and TypeScript to ensure reliability and quality.
Design and maintain data pipelines, governance, lineage, and OMOP modeling for a precision-medicine platform that integrates omics data for medical research.
Build and maintain scalable data pipelines on GCP using Python, SQL, Spark, and Delta Lake, collaborating with engineers to support data infrastructure.
Design and build data architectures and ETL pipelines for clients, collaborating with data scientists and translating needs into user stories.
Builds and maintains a modern, scalable GCP-based data platform and creates Power BI dashboards for business insights.
Design and optimize modern data architectures using Spark, Scala, and cloud environments for a tech consulting firm.
Lead the design and optimization of cloud-based analytics pipelines and data models for a global video platform, using GCP, Airflow, and BigQuery.
Build and maintain scalable data pipelines and dashboards using SQL and PowerBI to enable data-driven decisions.
Build and optimize synthetic-data pipelines for large language models, collaborating with ML teams to ensure high-quality training data.
Build data pipelines and Power BI dashboards to automate decision-making for a tech-consulting firm in Paris.
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