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Freelance Senior Data Engineer - Remote (AWS/Spark/Oracle)
Build and maintain data pipelines in Oracle-to-cloud migrations using Python, SQL, AWS, and Spark, focusing on ETL/ELT and workflow automation.
AWS Data Engineer | Lakehouse & ETL Specialist
Designs and implements AWS-based data pipelines and ETL/ELT workflows, building scalable Lakehouse architectures with Spark and infrastructure-as-code.
Senior Databricks Data Engineer - ETL & Data Platform Lead
Leads ETL pipelines and data platform architecture using Databricks and Spark, sets technical standards, and mentors teams.
Big Data Engineer: AWS, Spark & Kafka
Maintain and optimize a corporate data lake using AWS, Spark, Kafka, and Python, ensuring scalable data processing and performance.
Remote Data Engineer - Azure, Spark & Databricks
Builds and maintains scalable data pipelines using Spark, Databricks, Azure, Python, Scala, and SQL to support analytics and modeling in a life-science project.
Senior Data Engineer – PySpark, Python
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.
Senior Data Engineer - Cloud Data Lake & Streaming
Builds and maintains a cloud data lake and real-time streaming pipelines using Kafka, Spark, Scala, and Airflow to process billions of daily messages for analytics.
Remote Senior Data Engineer - AWS Cloud
Build and maintain cloud data platforms on AWS using Spark, Python, and data ingestion pipelines with batch and streaming processing.
Data Engineer – AI-Driven Pipelines & BI Platform
Build and maintain AI-powered data pipelines and BI platforms using Snowflake, Databricks/Spark, AWS, and Looker to deliver analytics and data science capabilities.
Hybrid Data Engineer — Databricks & ADF Cloud Pipelines
Designs and maintains scalable data pipelines using Databricks, Azure Data Factory, and cloud platforms to deliver data-driven outcomes.
Big Data Engineer — Spark Pipelines & ETL | Flexible Hours
Builds and optimizes Spark-based ETL pipelines and distributed data-processing workflows in a DevOps/Agile environment.
Data Engineer: Microsoft Fabric & Azure Pipelines (Hybrid)
Builds and maintains end-to-end data pipelines using Microsoft Fabric, Azure Data Factory, and Spark/Databricks for batch and near real-time analytics.
Databricks Data Engineer: End-to-End Pipelines
Build end-to-end data pipelines using Python and PySpark on Databricks for a Big Data environment.
Senior Data Engineer — Cloud Pipelines & Delta Lake
Designs and optimizes cloud-based data pipelines using Apache Spark and MongoDB for digital-transformation projects in a multicultural team.
Data Engineer — Build Scalable Pipelines & Cloud Migrations
Build and maintain scalable data pipelines and cloud migrations using Spark, Scala, Hadoop, and Kubernetes for a data platform with strong uptime and documentation.
Data Engineer Remoto y Horario Flexible - Pipelines en la Nube
Build and maintain cloud-based data pipelines using ETL/ELT, SQL, Python, dbt, Airflow and Spark in a flexible, autonomous role.
AWS Data Engineer: ETL Pipelines, Redshift & BI
Build and maintain data ingestion and ETL/ELT pipelines using Python, PySpark, and Spark, then deliver analytics via Redshift and BI tools.
Data Engineer Senior
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.
Data Engineer - Fabric & AI Pipelines (Hybrid)
Designs and builds data pipelines and lakehouses in Microsoft Fabric and Power BI, using Data Factory, Synapse, and Spark notebooks.
Senior Data Engineer
Senior Data Engineer builds and optimizes cloud-based data pipelines and models for CRM and retargeting, using Spark, Python, and GCP/AWS/Azure to ensure clean, high-quality data for analytics.