Job Role: Data Engineer - AWS

Role Overview

Responsible for designing, developing and maintaining scalable data solutions, ETL/ELT pipelines and cloud-based data platforms using AWS data services.

Key Responsibilities
Develop and maintain data pipelines and cloud-native data solutions.
Write and optimise complex SQL queries and database operations.
Build data models and implement ETL/ELT processes.
Work with AWS data services to support data integration, transformation and analytics.
Implement data quality, security and governance standards.
Support CI/CD, production operations and Agile delivery.

Required Skills & Experience
8+ years of experience in database and data engineering.
Robust SQL, data modelling and database performance tuning skills.
Hands-on experience with Amazon Aurora PostgreSQL, AWS Glue, Amazon Redshift and AWS Quick.
Proficiency in Python and/or PySpark.
Experience building and supporting ETL/ELT pipelines.
Familiarity with Git, CI/CD, DevOps and Agile practices.
Understanding of data governance, security and operational support.
Experience with AWS Database Migration Service (DMS) and Schema Conversion Tool is desirable.

📌 Aws Data Engineer Sydney
🏢 Recmatrix Consulting
📍 Sydney