Gcp Data Engineer

Infosys Apac; New South Wales; On-site; AUD 100,000 - 150,000; Full time

Job summary

Infosys Apac in Australia seeks a Data Engineer with GCP experience to design and optimize batch and streaming data pipelines. You will implement monitoring, data quality checks, and governance while collaborating with data architects and analysts to deliver scalable solutions.

The role emphasizes automation, cost optimisation, and secure data handling, requiring strong SQL and programming skills and experience in cloud environments.

Qualifications

• Proficient in SQL for data wrangling, transformation, and analysis.
• Strong programming skills.
• Experience building ETL/ELT pipelines in cloud or distributed environments.
• Familiarity with cloud platforms and services.
• Knowledge of data modeling concepts.
• Experience with data orchestration tools.
• Familiar with version control and CI/CD pipelines.
• Understanding of data quality, validation, and observability practices.
• Works independently with minimal supervision on well-scoped tasks.
• Collaborates effectively with stakeholders.
• Communicates clearly and documents work for others to maintain or build upon.
• Open to code reviews, feedback, and continuous learning.
• Able to troubleshoot and resolve data pipeline failures or performance issues.
• 2–4 years in a data engineering or closely related role.
• Has delivered production-ready pipelines end-to-end.
• Demonstrated ability to improve code quality, reliability, or performance.

Responsibilities

• Design, build, and optimise batch and streaming data pipelines using approved frameworks and tooling.
• Ensure pipelines are resilient, performant, and cost optimised.
• Implement monitoring, alerting, and automated recovery processes.
• Apply data quality checks and reconciliation processes to ensure accuracy and completeness.
• Maintain metadata, lineage, and documentation to support governance requirements.
• Adhere to role-based access control, data privacy, and security standards.
• Contribute to the development and maintenance of ingestion frameworks, transformation layers, and data models.
• Implement and maintain CI/CD pipelines for automated testing and deployment.
• Optimise data storage and retrieval strategies to meet performance needs.
• Work closely with Technical Leads, Data Architects, Analysts, and business stakeholders to deliver fit-for-purpose solutions.
• Participate in code reviews and knowledge-sharing sessions to improve team capability.
• Explore and adopt new tools, frameworks, and techniques to enhance engineering capability.
• Identify opportunities to automate and streamline workflows.

Skills

SQL

Programming

ETL/ELT pipelines

Cloud platforms

Data modeling

Data orchestration

CI/CD pipelines

Data quality

Collaboration

Documentation

Code reviews

Troubleshooting

Experience 2-4 yrs

Production pipelines

Code quality

Tools

CI/CD tools

Version control

Cloud services

Data orchestration tools

Job description

Description – Data Engineer_GCP

Key Responsibilities

• Design, build, and optimise batch and streaming data pipelines using approved frameworks and tooling.
• Ensure pipelines are resilient, performant, and cost optimised.
• Implement monitoring, alerting, and automated recovery processes.
• Apply data quality checks and reconciliation processes to ensure accuracy and completeness.
• Maintain metadata, lineage, and documentation to support governance requirements.
• Adhere to role-based access control, data privacy, and security standards.
• Contribute to the development and maintenance of ingestion frameworks, transformation layers, and data models.
• Implement and maintain CI/CD pipelines for automated testing and deployment.
• Optimise data storage and retrieval strategies to meet performance needs.
• Work closely with Technical Leads, Data Architects, Analysts, and business stakeholders to deliver fit-for-purpose solutions.
• Participate in code reviews and knowledge-sharing sessions to improve team capability.
• Explore and adopt new tools, frameworks, and techniques to enhance engineering capability.
• Identify opportunities to automate and streamline workflows.

Key Skills & Experience

• Proficient in SQL for data wrangling, transformation, and analysis
• Strong programming skills
• Experience building ETL/ELT pipelines in cloud or distributed environments
• Familiarity with cloud platforms and services
• Knowledge of data modeling concepts
• Experience with data orchestration tools
• Familiar with version control and CI/CD pipelines
• Understanding of data quality, validation, and observability practices
• Works independently with minimal supervision on well-scoped tasks
• Collaborates effectively with stakeholders
• Communicates clearly and documents work for others to maintain or build upon
• Open to code reviews, feedback, and continuous learning
• Able to troubleshoot and resolve data pipeline failures or performance issues
• 2–4 years in a data engineering or closely related role
• Has delivered production-ready pipelines end-to-end
• Demonstrated ability to improve code quality, reliability, or performance