Principal Data Engineer

📋 Description Build and operate scalable data pipelines on an AWS‑based data platform. Collaborate with data science teams to productionise models. Support multi‑region operations and troubleshoot production issues. Act as a bridge between data science, engineering, and regional teams. Design and optimize data ingestion, storage, and processing patterns. Ensure monitoring, incident resolution, and continuous operational improvement. 🎯 Requirements 9+ years hands‑on experience in data engineering and large‑scale pipelines. Deep expertise in AWS‑based data platforms (S3, Glue, EMR, Lambda) and Airflow. Proficiency in Python and Spark for data processing and orchestration. Understanding of distributed data processing, ETL/ELT patterns. Experience with Java/Scala frameworks is nice to have. Experience productionising ML models, feature engineering and deployment. 🎁 Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee‑Assistance‑Program (EAP)