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Build and maintain scalable data lake components and ingestion pipelines for analytics, ML, and product features at an online education platform.
Senior Data Engineer builds and maintains cloud-based data pipelines and analytics infrastructure to enable data-driven decisions across Bunge’s global operations.
Build and maintain cloud-based data pipelines and analytics platforms using Python, SQL, Spark, and BigData tools to deliver business insights.
Senior Data Engineer building scalable big-data pipelines in AWS using Spark on Scala, optimizing performance for large datasets and collaborating with an international team.
Build and run end-to-end data pipelines for enterprise clients, designing ETL workflows, cloud data models, and dashboards while mentoring junior engineers.
Senior Data Engineer builds and scales data pipelines and warehouses to power analytics products for restaurants using Python, SQL, dbt, Airflow, and cloud platforms.
Senior Data Engineer builds and scales a modern data platform using Databricks, PySpark, and Azure Data Factory to power advanced analytics, ML models, and near-real-time decision systems.
Build and maintain scalable data pipelines and a self-service data platform using Snowflake, Airflow, and AWS, enabling teams to produce and consume trusted data products.
Build and maintain scalable data pipelines and AI features for a hotel-tech platform, using Python, GCP, BigQuery, and Kafka.
Build and scale the data backbone for an AI-native video production platform, designing event-driven pipelines for assets, metadata, and real-time creative collaboration.
Build and maintain data pipelines and ETL workflows in Python, orchestrating data ingestion from multiple sources for AI-driven fintech analytics and RAG systems.
Senior Data Engineer builds and maintains scalable data pipelines, cloud infrastructure, and ML models on Google Cloud using Python, SQL, dbt, and Databricks.
Senior data engineer building and maintaining ETL pipelines, data warehouses, and analytics models using Airflow, PostgreSQL, Azure, and GCP for a Valencia-based agency.
Build and maintain data pipelines, manage distributed databases, and support development teams using SQL, PySpark, and streaming tech like Kafka.
Build and maintain cloud-based data pipelines and models for marketing analytics, enabling 1:1 retargeting and CRM for global brands using Spark, Python, and GCP/AWS/Azure.
Build and maintain scalable data pipelines and infrastructure using Databricks, Spark, ClickHouse, and Kafka to power real-time analytics and ML for mobile app monetization.
Build and own the data platform that powers AI model compression and quantum-inspired optimization products, designing ETL pipelines, lakehouse architectures, and governance workflows in Python/SQL on cloud platforms.
Senior Data Engineer builds and scales a GCP/BigQuery data warehouse for an online education company, integrating diverse sources into a unified analytics model.
Lead the architecture of a cloud-based data platform on AWS, designing schemas and pipelines that power AI products and analytics using Terraform, dbt, and Iceberg.
Design and maintain scalable cloud-based data pipelines on Databricks/Azure to ingest airport and airline data, enabling ML models that improve air transport operations.
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