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Design and build a global lakehouse platform for payments and marketing analytics using AWS/GCP, Dagster/Airflow, and medallion-layer pipelines.
Design and build ETL/ELT pipelines on Google Cloud Platform, focusing on BigQuery, using Python, SQL, Spark, Airflow and DevOps practices.
Build and optimize end-to-end data pipelines using Python, PySpark, and Databricks for large-scale analytics projects.
Designs and maintains data pipelines on GCP using BigQuery and Airflow to ensure reliable data flow for analytics and reporting.
Build and own scalable data pipelines and analytics platforms to support AI adoption and business impact, collaborating with cross-functional teams and mentoring junior engineers.
Lead a team to design and maintain large-scale Azure-based data pipelines for financial reporting, ensuring compliance and data quality across SAP-integrated systems.
Design and scale data infrastructure for an AI-powered shopping assistant, building pipelines and ensuring data quality with SQL, Python, Snowflake, and Airflow.
Builds scalable data pipelines and optimizes cloud-based data lakehouse platforms using Databricks, Spark, Airflow, and Iceberg for digital-transformation projects.
Builds and maintains big-data pipelines for a Madrid-based bank using Python, Scala, Spark, Airflow, and Kubernetes.
Builds and optimizes data pipelines with Airflow, Snowflake, and Kafka, using Python and SQL to move and transform data efficiently.
Senior Software/Data Engineer builds scalable data pipelines and services in Python/SQL to power Clarity AI’s climate-focused AI systems, ensuring reliability and performance.
Senior Data Engineer builds and optimizes customer-identity data pipelines for ecommerce, using Python and Airflow to ensure reliable, scalable analytics across Books & Media and Fashion.
Build and optimize scalable data pipelines on Databricks using Spark, Delta Lake, and Unity Catalog to power analytics and ML workflows for enterprise clients.
Build and maintain GCP-based data pipelines using Dataflow, Airflow, and BigQuery, ensuring clean, reliable data for analytics and business users.
Build and maintain scalable cloud data pipelines in Snowflake, transform data with dbt, and optimize analytics models for performance and cost.
Build and maintain scalable data pipelines and lakehouse architectures to feed BI, analytics, and AI workloads using SQL, Python, and cloud platforms.
Build and maintain a cloud data lake and real-time streaming pipelines using Kafka, Spark, Scala, and Airflow to process billions of messages daily for analytics.
Senior Data Engineer builds and scales high-throughput marketing data pipelines and AI-driven infrastructure for eDreams’ travel platform, using Python, SQL, dbt, Dagster, and Google Cloud.
Build end-to-end data pipelines with Python, PySpark, and Databricks for enterprise clients, designing scalable cloud data architectures on AWS/Azure/GCP.
Build and maintain scalable data pipelines and warehouses using Airflow, Snowflake, Kafka, and Python to power real-time analytics and integrations for a gaming-focused tech stack.
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