Data Engineer
Data engineer at Infosys in Brisbane building and maintaining data integration pipelines for CrewConnect crew/resource scheduling, including ingestion, transformation, and validation. Core stack: SQL, Snowflake, dbt, AWS, and Git-based CI/CD DevOps pipelines.
- Compensation
- Not disclosed
- Location
- Brisbane, Australia
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Advanced experience in SQL development and data modelling for enterprise-scale solutions
- Strong experience designing and implementing data solutions using Snowflake
- Proven experience with DBT for data transformation, testing, documentation, and deployment
- Experience implementing and supporting Git-based DevOps practices and CI/CD pipelines
- Strong understanding of data governance principles (data quality, metadata, lineage, stewardship, access controls)
- Exposure to AWS services such as S3 and IAM
- Experience designing scalable data pipelines and ETL/ELT processes
- Ability to analyse complex business requirements and translate them into maintainable data solutions
- Strong problem-solving skills for investigating data quality, performance, and integration issues
- Effective communication and collaboration skills across business and technical teams
- Qualification in Computer Science, Engineering, Information Systems, Data Analytics, or equivalent practical experience
Full description
Job Description
Key JD requirements:
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Design, develop and maintain data integration pipelines/interfaces between CrewConnect and upstream/downstream systems.
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Analyse existing data flows, mappings and dependencies and support interface enhancements.
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Build and support reliable data ingestion, transformation and validation, ensuring data quality and integrity.
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Troubleshoot data/interface issues and perform root-cause analysis with application/product teams.
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Translate crew/resource scheduling data requirements into scalable integration and data-engineering solutions.
Technical Environment:
The role works across Snowflake, DBT, AWS cloud services, Git-based DevOps pipelines, enterprise integrations, and reporting ecosystems supporting CrewConnect and broader People Domain initiatives.
Data solutions are deployed within cloud-native environments leveraging modern engineering practices, automation, and governance frameworks to support scalable enterprise data products.
Essential Capabilities and Experience
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Advanced experience in SQL development and data modelling for enterprise-scale solutions.
-
Strong experience designing and implementing data solutions using Snowflake.
-
Proven experience with DBT for data transformation, testing, documentation, and deployment.
-
Experience implementing and supporting Git-based DevOps practices and CI/CD pipelines.
-
Strong understanding of data governance principles, including data quality, metadata, lineage, stewardship, and access controls.
-
Exposure to AWS services such as S3 and IAM.
-
Experience designing scalable data pipelines and ETL/ELT processes.
-
Ability to analyse complex business requirements and translate them into maintainable data solutions.
-
Strong problem-solving skills with the ability to investigate and resolve data quality, performance, and integration issues.
-
Effective communication and collaboration skills across business and technical teams.
-
A qualification in Computer Science, Engineering, Information Systems, Data Analytics, or equivalent practical experience.