AWS Data Engineer - Databricks, MLOps & BI

Infosys Singaporeand Australia; City of Melbourne; On-site; AUD 120,000 - 160,000; Full time

Job summary

Infosys Consulting in Melbourne is seeking a skilled Data Engineer to design, develop, and maintain scalable data platforms and pipelines within the AWS ecosystem. You will work with SQL, Python, and modern data engineering practices to support analytics, reporting, and ML initiatives.

The role involves collaborating with data scientists, analysts, and software engineers to deliver robust data solutions, ensure data quality, and implement governance across platforms.

Qualifications

• Advanced SQL capabilities and data modeling skills.
• Experience with modern data engineering practices.
• Proficiency in Python and CI/CD implementation.
• Knowledge of MLOps concepts and data governance.

Responsibilities

• Design, build, and optimize scalable data pipelines and ETL/ELT processes using AWS services.
• Develop and maintain data warehouses and lakehouse architectures.
• Write and optimize complex SQL queries for data extraction and analysis.
• Create and maintain CI/CD deployment pipelines (GitHub Actions).
• Collaborate with Data Science teams to support ML workflows and reporting.

Skills

SQL

Python

CI/CD

MLOps

Data modelling

Tools

Databricks

Power BI

Tableau

GitHub Actions

AWS

Job description

Infosys Consulting in Melbourne is seeking a skilled Data Engineer to design, develop, and maintain scalable data platforms and pipelines within the AWS ecosystem. You will work with SQL, Python, and modern data engineering practices to support analytics, reporting, and ML initiatives.

The role involves collaborating with data scientists, analysts, and software engineers to deliver robust data solutions, ensure data quality, and implement governance across platforms.