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Designs and builds scalable data pipelines on GCP using Python, Java, Scala, and Spark to process and store large-scale data for media and telecom clients.
Senior Java Big Data consultant designs, builds, and optimizes large-scale data pipelines and Spark clusters for enterprise clients using Azure Cloud and on-prem systems.
Build and maintain data pipelines, transform raw data into dashboards, and unit/integration test solutions using Python/Scala, SQL, and cloud platforms like GCP/Azure/AWS.
Lead Data Engineer designs and scales Big Data pipelines and cloud infrastructures for clients, using Spark, Kafka, Kubernetes and DevOps practices to ensure high-performance, scalable data processing.
Build and deploy modern data architectures (Snowflake + dbt) and ETL/ELT pipelines in Python/SQL, while mentoring peers and optimizing cloud costs for clients across France.
Build and optimize scalable data pipelines on Databricks and cloud platforms, transforming raw data into automated, production-ready analytics and AI infrastructure using Python, Spark, and IaC.
Builds and optimizes scalable data pipelines for a Madrid-based bank, using Spark, Scala, Python, Airflow, and cloud migration from Hadoop.
Lead or Senior Data Engineer building and scaling robust Big Data pipelines in a modern Cloud environment for a data-driven product company.
Builds and maintains data pipelines, transforms raw data into analytics-ready datasets, and creates dashboards for reporting using Python/Scala, SQL, and NoSQL databases on AWS.
Build and maintain scalable data pipelines using Python, Spark, and Databricks to support analytics and AI projects for clients across industries, with a focus on sustainability.
Build and maintain Wizaly’s data pipelines and attribution algorithms using Scala/Spark and SQL, ensuring accurate, real-time marketing performance insights for clients.
Build and maintain data platforms for a bank, including Teradata data warehouses, Big Data pipelines, and ETL workflows using Python/Scala in a DevOps/CI/CD environment.
Build and migrate data pipelines from Hadoop to cloud, automate workflows with Airflow, and process large datasets using Spark, Scala, and Python for a banking client.
Design and maintain robust data pipelines, ensuring data quality and integrity while collaborating with clients to optimize cloud infrastructures using Hadoop, Spark, Kafka, and Airflow.
Builds and secures cloud data pipelines on Databricks and Google Cloud using Python, SQL, Scala, and Airflow to optimize partner solutions.
Build and maintain scalable data pipelines on Databricks using Scala, SQL, and ETL/ELT tools to feed a modern lakehouse architecture.
Designs, builds, and maintains big-data pipelines and Spark/Hadoop jobs for clients in finance, insurance, energy, and other sectors using Java, Scala, and Python.
Builds and maintains data pipelines and dashboards using Python, SQL, and AWS, ensuring reliable data flows for analytics and reporting.
Build and optimize AWS data pipelines for enterprise clients, focusing on automation, cloud-native tooling (Spark, Airflow, Terraform), and scalable data platforms to enable analytics and business insights.
Design and maintain scalable cloud data pipelines using AWS or Azure, ensuring data quality and security while collaborating with cross-functional teams.
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