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Senior Data Engineer builds and maintains Python/Scrapy-based legal data ingestion pipelines, including 50+ jurisdiction scrapers and a React frontend, optimizing cloud costs and enabling search and change detection.
Designs, builds, and maintains scalable ETL pipelines and data lakes to deliver clean, reliable data for analytics and decision-making.
Builds and maintains web apps in PHP/Laravel that securely process financial transactions for a leading payments company.
Builds full-stack .NET applications for a platform offering professional education courses and exam reviews for finance/accounting professionals.
Lead AWS-native data pipelines and onboarding for AI/ML workloads, building scalable ingestion and cloud architectures in Python.
Senior Data Engineer builds and optimizes PySpark ETL/ELT pipelines, manages a medallion lakehouse, and deploys data-serving APIs on AWS for a real-estate tech platform.
Designs and maintains scalable data pipelines and systems for analytics and ML in a hybrid SaaS/on-premise setup using Python, AWS, Snowflake, and MongoDB.
Designs, builds, and optimizes scalable data pipelines and ETL/ELT processes on Google Cloud Platform to support analytics and decision-making.
Build and maintain scalable cloud data pipelines and warehouses for a fast-growing Latin American e-commerce platform using AWS tools like Lambda, Glue, and Athena.
Lead a team to build and maintain automated data pipelines and BI solutions, modernizing manual processes into scalable workflows for analytics and model scoring.
Build Databricks pipelines and migrate data from Amazon Redshift to Databricks using AWS S3, Glue, and Athena while implementing data governance practices.
Designs and optimizes Azure-based data pipelines and analytics models using SQL, PySpark, and Azure Synapse to deliver scalable solutions for global clients.
Build and maintain scalable data pipelines and analytics environments for clients, ensuring secure data ingestion and integrity while delivering strategic insights.
Builds and maintains scalable ETL/ELT pipelines and data platforms using Python, SQL, PySpark, and Azure services like Databricks and Data Factory.
Build and deploy full-stack web apps on AWS, using Terraform, Kubernetes, and Ansible while automating infrastructure and ensuring security and reliability.
Build and deploy full-stack web apps on AWS, using Terraform, Kubernetes, and relational databases while automating infrastructure and collaborating with global teams.
Design and maintain scalable AWS-native data pipelines that securely move raw data into analytics environments using SQL and Python.
Build and maintain a secure enterprise intelligence platform using Java 17+, Spring Boot, Angular, Oracle, and MongoDB in a fast-paced team.
Data Quality Engineer at BairesDev is a fully remote role where you will design and implement automated data quality checks, validate data pipelines, and collaborate with AI specialists to improve data accuracy across…
Build and maintain cloud-based data pipelines and write optimized SQL queries for analytics and automation within Scotiabank’s data products.
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