Data Engineer - ETL & Secure Data Integration

Synechron; City of Melbourne; On-site; AUD 120,000 - 180,000; Full time

Job summary

Synechron in Australia seeks 5 experienced Data Engineers to design, build, deploy, and support enterprise-grade ETL solutions that integrate data from SQL databases and CSV-based source systems. The role focuses on transforming data into consumer-specific CSV interfaces and securely delivering outputs via SFTP or similar mechanisms.

The ideal candidates are self-driven engineers with robust data engineering expertise, capable of designing scalable solutions, implementing controls for sensitive

Qualifications

• Strong hands-on experience in Python development.
• Java programming proficiency with data integration focus.
• Advanced SQL skills including data extraction and transformation.
• Experience with XML-based data structures and integrations.
• Proficiency with AWS services relevant to data engineering.
• Experience building ETL/Data Integration solutions.
• Familiarity with secure file transfers (SFTP).

Responsibilities

• Design, develop, and maintain ETL pipelines for ingesting data from SQL Databases and CSV files.
• Build robust data transformation frameworks to generate consumer-specific CSV interfaces.
• Implement secure file delivery mechanisms including SFTP and related protocols.
• Deploy ETL solutions across Development, UAT, and Production environments.
• Ensure data security, privacy, and governance, especially PII protection.
• Collaborate with stakeholders to translate requirements into technical designs.
• Troubleshoot production issues and provide operational support for data integrations.
• Leverage AI-assisted development tools to improve productivity and quality.

Skills

Python

Java

SQL

XML

AWS

ETL/ELT

SFTP

Data validation

CI/CD

Data migration

Job description

Synechron in Australia seeks 5 experienced Data Engineers to design, build, deploy, and support enterprise-grade ETL solutions that integrate data from SQL databases and CSV-based source systems. The role focuses on transforming data into consumer-specific CSV interfaces and securely delivering outputs via SFTP or similar mechanisms.

The ideal candidates are self-driven engineers with robust data engineering expertise, capable of designing scalable solutions, implementing controls for sensitive