Job
Description
Join a dynamic team of business and technology experts at Macquarie, collaborating to ingest data and implement liquidity calculations on an innovative platform. The focus is on delivering a high-performing, robust, and stable solution to meet the needs of internal and external stakeholders. **Role Overview:** You will use your data engineering and big data skills to build and maintain data services and pipelines with industry best practices. Operating in a DevOps environment, you will develop, test, and support data assets, automate testing and delivery, optimize infrastructure, and maintain code quality and security standards. Your role will involve participating in code reviews, team activities, resolving technical issues, and supporting process improvements. **Key Responsibilities:** - Experience with big data technologies such as Spark, Python, Hive, SQL, Presto, storage formats like Parquet, orchestration tools including Airflow, and version control using Bitbucket - Skilled in developing configuration-based ETL pipelines and user-interface driven data tools like Dataiku - Ability to analyze business requirements, design data models and pipelines, and present solution recommendations - Proficiency in cloud environments (especially AWS), core cloud services like EC2, S3, Linux, and containerization using Docker, Kubernetes - Background in solution delivery within finance or treasury domains, particularly Liquidity or Capital, is advantageous **Qualifications Required:** - 3+ years in a relevant role with experience in big data technologies - Knowledge of storage formats, orchestration tools, and version control - Experience developing ETL pipelines and user-interface driven data tools - Ability to analyze business requirements, design data models and pipelines - Proficiency in cloud environments, core cloud services, Linux, and containerization - Background in solution delivery within finance or treasury domains If you are inspired to build a better future with Macquarie and excited about the role, we encourage you to apply. **Note:** Macquarie offers a wide range of benefits including wellbeing leave, paid parental leave, childcare services, paid volunteer leave, comprehensive medical and life insurance cover, learning and development opportunities, and flexible working arrangements. Technology plays a crucial role at Macquarie, enabling every aspect of the organization. Macquarie is committed to diversity, equity, and inclusion, providing reasonable adjustments to individuals who may need support during the recruitment process and through working arrangements. Join a dynamic team of business and technology experts at Macquarie, collaborating to ingest data and implement liquidity calculations on an innovative platform. The focus is on delivering a high-performing, robust, and stable solution to meet the needs of internal and external stakeholders. **Role Overview:** You will use your data engineering and big data skills to build and maintain data services and pipelines with industry best practices. Operating in a DevOps environment, you will develop, test, and support data assets, automate testing and delivery, optimize infrastructure, and maintain code quality and security standards. Your role will involve participating in code reviews, team activities, resolving technical issues, and supporting process improvements. **Key Responsibilities:** - Experience with big data technologies such as Spark, Python, Hive, SQL, Presto, storage formats like Parquet, orchestration tools including Airflow, and version control using Bitbucket - Skilled in developing configuration-based ETL pipelines and user-interface driven data tools like Dataiku - Ability to analyze business requirements, design data models and pipelines, and present solution recommendations - Proficiency in cloud environments (especially AWS), core cloud services like EC2, S3, Linux, and containerization using Docker, Kubernetes - Background in solution delivery within finance or treasury domains, particularly Liquidity or Capital, is advantageous **Qualifications Required:** - 3+ years in a relevant role with experience in big data technologies - Knowledge of storage formats, orchestration tools, and version control - Experience developing ETL pipelines and user-interface driven data tools - Ability to analyze business requirements, design data models and pipelines - Proficiency in cloud environments, core cloud services, Linux, and containerization - Background in solution delivery within finance or treasury domains If you are inspired to build a better future with Macquarie and excited about the role, we encourage you to apply. **Note:** Macquarie offers a wide range of benefits including wellbeing leave, paid parental leave, childcare services, paid volunteer leave, comprehensive medical and life insurance cover, learning and development opportunities, and flexible working arrangements. Technology plays a crucial ro
