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Build and maintain data pipelines and ETL workflows using Python, Spark, and cloud tools to integrate and transform large datasets for enterprise clients.
Senior Data Engineer builds and maintains robust data pipelines, ensuring quality and integrity while collaborating with clients to optimize data infrastructure using tools like Spark, Kafka, and cloud services.
Build and optimize large-scale data pipelines and distributed systems using Spark, Databricks, and AWS to power AI-driven B2B intelligence products.
Build and maintain high-performance data pipelines using Scala, Spark, and Snowflake, migrating legacy Hadoop workloads and ensuring clean, testable code in an Agile environment.
Build and maintain data pipelines, storage systems, and APIs to deliver clean, ready-to-use data for analytics and ML, using Hadoop, Spark, Kafka, and cloud platforms.
Build and automate a data warehouse and dashboards for a mobile game studio using BigQuery, Python, and APIs to support game design and marketing decisions.
Designs scalable data pipelines and cloud infrastructure (AWS/GCP) to feed GenAI models, using Python/Scala and ensuring data quality for digital transformation projects.
Build and maintain a high-stakes data platform using Spark, Kafka, Scala/Java, and DevOps tools to deliver real-time and batch data pipelines and REST APIs.
Build and maintain scalable big-data pipelines using Spark, Python/Scala, and Hadoop; collaborate with data scientists to deliver robust ETL/ELT workflows.
Build and maintain cloud-based data pipelines and infrastructure for clients, using Spark, Kafka, and cloud tools to support ML and AI projects.
Build and maintain data pipelines, model datasets, and ensure data quality for a private healthcare group’s BI and analytics using SQL, R, and ETL tools.
Build and maintain scalable big-data pipelines and architectures using Java, Scala, and Spark for enterprise clients, deploying on AWS/Azure/GCP.
Build and maintain scalable data pipelines and curated datasets in Snowflake using dbt, Airflow, and Terraform to power CRM analytics and insights for Zendesk’s support operations.
Build and maintain scalable data pipelines using Spark, SQL, and NoSQL to process large datasets for client projects in a hybrid role based in Lyon.
Lead a team to design and build scalable data pipelines using Spark, Kafka, and cloud platforms (Azure/GCP) while ensuring data quality and governance for analytics and AI projects.
Build and deploy scalable data pipelines, cloud infrastructure, and full-stack apps that expose AI models and datasets for analysts and scientists.
Build and maintain scalable data pipelines on Microsoft Azure and Databricks using PySpark, SQL, and CI/CD, while collaborating with cross-functional teams to deliver end-to-end data solutions.
Teach data engineering fundamentals to adult learners, guiding them through Python, SQL, ETL pipelines, and big-data architectures to prepare them for industry roles.
Build and maintain scalable data pipelines and infrastructure using Python, Spark, and Databricks to support analytics and ML workloads on AWS.
Lead a team building cloud data pipelines and infrastructure-as-code for a consultancy, collaborating with data scientists to industrialize their models and deploy production-grade data workflows.
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