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.

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Technical Environment:

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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.

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Data solutions are deployed within cloud-native environments leveraging modern engineering practices, automation, and governance frameworks to support scalable enterprise data products.

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Essential Capabilities and Experience

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Advanced experience in SQL development and data modelling for enterprise-scale solutions.

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Strong experience designing and implementing data solutions using Snowflake.

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Proven experience with DBT for data transformation, testing, documentation, and deployment.

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Experience implementing and supporting Git-based DevOps practices and CI/CD pipelines.

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Solid understanding of data governance principles, including data quality, metadata, lineage, stewardship, and access controls.

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Exposure to AWS services such as S3 and IAM.

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Experience designing scalable data pipelines and ETL/ELT processes.

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Ability to analyse complex business requirements and translate them into maintainable data solutions.

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Strong problem-solving skills with the ability to investigate and resolve data quality, performance, and integration issues.

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Effective communication and collaboration skills across business and technical teams.

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A qualification in Computer Science, Engineering, Information Systems, Data Analytics, or equivalent practical experience.

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📌 Data Engineer (Brisbane)
🏢 Infosys APAC
📍 Brisbane