Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Design and operate scalable AWS-based data pipelines and platforms to power analytics and AI products, using Python, Scala, Spark, and Flink.
Designs and builds scalable data pipelines and cloud-based ETL/ELT workflows to integrate and transform enterprise data for analytics and BI.
Senior Data Engineer builds and maintains AWS data pipelines, ensuring quality and consistency via ETL/ELT and Medallion architectures.
Build and optimize AWS-based data pipelines (ETL/ELT) using Glue, S3, Python/PySpark to ingest and transform customer data for analytics and automation.
Senior Data Engineer builds and maintains cloud data pipelines on AWS, enforces data-quality rules, and implements Medallion architectures to ensure reliable, scalable data for analytics.
Design and build AWS-native data pipelines and warehouses, transforming raw data into insights using Python, SQL, and Terraform.
Build and maintain web apps with React frontend and TypeScript/Python backend, deploying serverless AWS solutions and CI/CD pipelines.
Lead the design and build of enterprise-scale data platforms using cloud tools (AWS/Azure), SQL, Python, Spark, and orchestration (Airflow) to deliver reliable, analytics-ready data for BI, AI, and reporting.
Lead the design and delivery of enterprise-scale data platforms, building scalable ETL/ELT pipelines and cloud-native warehouses to power analytics, BI, and AI across the business.
Build and operate cloud-native data platforms using Python, Spark, and AWS/GCP, designing scalable ETL/ELT pipelines and modern data warehouses.
Builds systems that gather, store, and process large volumes of data for analysis. Responsibilities: Develop ETL pipelines, ensure data quality, optimize data storage solutions. Skills: Python, SQL, cloud data tools…
Designs and maintains AWS-based data pipelines, builds scalable ETL/ELT processes, and ensures reliable data delivery for analytics and reporting in a hybrid work setup.
Build and maintain data pipelines, warehouses, and governance for a fintech platform using Python, Databricks/Snowflake, and cloud services.
Design and maintain scalable AWS data pipelines, ETL/ELT processes, and cloud data warehouses to support analytics and business decisions.
Build and maintain cloud-based data pipelines and warehouses for a property-management SaaS, enabling analytics and reporting across the business.
Build and maintain AWS-based data pipelines for Safran Aircraft Engines, ingesting MES/ERP/PLM and IoT feeds, transforming them in a medallion lakehouse, and enabling business teams with Power BI dashboards.
Build and maintain automated data pipelines using Snowflake and AWS services, focusing on ETL/ELT, data modeling, and cloud infrastructure with Terraform and CI/CD.
Build and maintain modern data platforms for an EdTech company using Snowflake and AWS Glue, enabling AI-powered analytics and business intelligence.
Build and maintain scalable data pipelines and warehouses for an AI-driven e-learning platform, integrating SaaS tools and enabling analytics across Product, Marketing, and Revenue teams.
Designs, builds, and optimizes large-scale data pipelines and warehouses using PySpark, AWS Glue, EMR, and Redshift for a UAE customer.
We couldn't check your fit for this role — add a CV to your profile to see it next time.