Senior AWS Data Engineer - Real-Time Pipelines & Airflow
Summary
Designs and optimizes AWS-based data pipelines using Python, PySpark, Airflow, and Redshift/S3/DynamoDB/Snowflake for batch and real-time analytics.
Paxus is seeking a Senior Data Engineer with strong AWS data engineering experience to design, build and optimise scalable data pipelines across batch and real-time environments. You will work with Python, PySpark, Airflow and AWS services on modern cloud data platforms.
Collaborate with cross-functional teams to deliver secure, high-performing data solutions and contribute to data warehousing and analytics using Redshift, S3, DynamoDB or Snowflake.