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Alternance role in a Big Data team building financial-services data pipelines and solutions under expert mentorship.
Build and maintain data pipelines, transform raw data, and write SQL queries for analysis in a 3–6 month internship.
Build and maintain ETL pipelines and databases to ensure data quality for an education-focused tech team.
Build and maintain modern data pipelines and warehouses for ad-tech clients using SQL, Python, BigQuery/Snowflake, and Airflow.
Consultant builds and audits data pipelines for clients using Databricks, Python, and Spark, advising on decision-support systems and modernization projects.
Senior Data Engineer builds and maintains a data lake and AI/ML platform, designing data management tools and ensuring compliance while collaborating with research teams.
Builds and maintains APIs and big-data pipelines for a mobility platform using Python/Scala, SQL, Spark and Kafka.
Designs and builds data pipelines and Big Data solutions using Palantir Foundry, Python, and SQL for a leading tech company.
Senior PySpark Data Engineer builds scalable data pipelines and ETL workflows in Python and SQL, leveraging cloud environments to support analytics and reporting for clients.
Build and automate data pipelines using Dataiku for banking clients, focusing on CI/CD and business-aligned data engineering.
Senior Data Engineer designs and optimizes big-data processing models and deploys data pipelines using Spark, Kubernetes, and Hadoop for Orange SA in Niort.
Build and optimize Databricks-based ETL/ELT pipelines on Azure to ingest and transform data, ensuring high-quality data for analytics and business teams.
Build and optimize big-data pipelines using Hadoop, Spark, and Python to support client transformations.
Build and maintain scalable Spark/Hadoop data pipelines in Python/Java to ingest, transform, and expose data for clients, working in Agile teams with Data Architects.
Build and scale Python/Django APIs and data pipelines for an insurtech SaaS platform serving (re)insurers.
Designs, builds, and optimizes GCP data pipelines using BigQuery, Python, and SQL to support banking analytics in a Scrum team.
Senior Data Engineer to build and scale data platforms that power analytics and decision-making across distributed systems.
Build and maintain ETL pipelines and data warehouses for a leading mortgage insurance company, migrating from Oracle and Business Objects while ensuring operational reliability.
Design and deploy explainable AI solutions for aviation data, partnering with customer ops teams to improve billing, warranties, and contracts.
Designs and maintains Python and SQL data pipelines on Azure, AWS, and GCP, optimizing batch and real-time processing while automating with CI/CD and IaC.
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