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Build and scale backend systems managing global advertiser budgets using C# and Python with big data stacks like Hadoop, Flink, and Spark.
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 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.
Design and build scalable GCP-based data pipelines, lakes, and analytics platforms for enterprise clients, using Python, Spark, and BigQuery to enable data-driven decision-making.
Build and maintain scalable data pipelines and warehouse models to power Farfetch’s luxury fashion marketplace analytics and reporting.
Designs robust data pipelines and cloud workflows using Python/SQL, migrates Hadoop stacks to Google Cloud, and implements Airflow/Terraform for hybrid client projects in Lille.
Build and maintain secure data pipelines for insurance projects using SQL, NoSQL, ETL/ELT tools, Spark/Hadoop, and streaming pipelines.
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.
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 maintain large-scale data pipelines for energy storage systems, enabling predictive models and optimizing battery operations in a fast-growing cleantech company.
Builds and optimizes scalable data pipelines for a Madrid-based bank, using Spark, Scala, Python, Airflow, and cloud migration from Hadoop.
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.
Builds and maintains big-data pipelines using Hadoop and Spark to process and govern data for a product-focused company.
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.
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.
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