Note: A minimum of 07 years of experience is mandatory.

Job Description

We are looking for self-motivated Data Engineers to design, build, deploy, and operate ETL jobs. The role involves extracting data from SQL databases and CSV files, transforming it into consumer-specific CSV formats, and securely delivering the files to downstream systems through SFTP or similar mechanisms.

Key Responsibilities
Design and develop reliable ETL jobs and data interfaces.
Extract data from SQL databases and CSV files.
Transform and format data based on consumer requirements.
Deliver files securely using SFTP or similar file-transfer mechanisms.
Deploy ETL jobs to non-production and production settings.
Implement appropriate controls to protect PII and sensitive data.
Monitor, troubleshoot, and support ETL jobs in production.
Prepare technical designs for scalable and maintainable solutions.
Collaborate with consumers and technical teams to understand interface requirements.





Required Skills and Experience
Robust experience with Python, Java, SQL, XML, and AWS .
Hands-on experience building and operating ETL jobs or similar data-processing solutions.
Experience with CSV-based data interfaces and SFTP file transfers.
Experience deploying applications across non-production and production environments.
Knowledge of data security, PII protection, and production controls.
Ability to independently analyze problems and develop suitable technical designs.
Robust communication, troubleshooting, and collaboration skills.

Preferred Skills:
Experience with AI-assisted development tools such as Claude Code .
Knowledge of cloud-based data engineering and automation practices.
Experience with job scheduling, monitoring, and operational support.
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📌 Senior Data Engineer Melbourne (Australia)
🏢 Synechron
📍 Australia