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Senior Data Engineer builds and optimizes large-scale data pipelines using PySpark and Python to support critical business decisions.
Lead a team to build and maintain scalable data pipelines using Azure, Databricks, PySpark, dbt, and CI/CD for production-grade data products.
Build and maintain data platforms using Databricks, PySpark, and SQL, collaborating with global teams to deliver scalable cloud-based solutions.
Senior Data Engineer designs and builds scalable PySpark and AWS data pipelines for Big Data processing in a fully remote, long-term project.
Designs and maintains ETL pipelines in Python/PySpark, builds Power BI dashboards, and owns the full data lifecycle from ingestion to governance.
Build and maintain ML models and data pipelines using Python, PySpark, and AWS SageMaker for advanced analytics projects.
Build and scale a modern data platform using PySpark, SQL, Python, and Databricks in a remote-friendly role for a Spain-based team.
Lead cloud and on-premise data projects using PySpark, SparkSQL, and Python, designing scalable data architectures and optimizing SQL/NoSQL systems for international clients.
Build and maintain banking data pipelines using PySpark and Databricks in a Big Data environment.
Build and maintain ETL pipelines with PySpark and cloud tools, write advanced SQL, and automate data workflows in a hybrid Madrid role.
Build and optimize PySpark/Python data pipelines and data-quality rules for a data lake, collaborating with data architects and analysts to ensure robust, scalable solutions.
Build and maintain end-to-end data pipelines and BI dashboards for an ecommerce retailer using Databricks, PySpark, SQL, Python, and Power BI.
Designs and maintains scalable data pipelines using Databricks, Azure Data Factory, and cloud platforms to deliver data-driven outcomes.
Senior Data Engineer builds and optimizes PySpark pipelines in a 100% cloud environment, designing Big Data models and working with AWS/Azure and SQL Server.
Build and maintain a distributed data pipeline for a vulnerability management platform, processing large datasets in near real-time using PySpark, Airflow, dbt, and AWS.
Build end-to-end data pipelines using Python and PySpark on Databricks for a Big Data environment.
Build and maintain data ingestion and ETL/ELT pipelines using Python, PySpark, and Spark, then deliver analytics via Redshift and BI tools.
Senior Data Engineer designing and building scalable Big Data solutions on AWS using Spark with Scala, optimizing large-scale data processing for an international project.
Build and maintain data pipelines, manage distributed databases, and support development teams using SQL, PySpark, and streaming tech like Kafka.
Design and build scalable AWS data pipelines, integrating multiple sources with Python/PySpark and SQL to deliver clean, high-impact datasets for business teams.
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