Data Engineer, Cloud (Banking, 1-year renewable contract)

Dear Applicant, If you or someone you know is interested, please send the CV directly to quynh.nguyen@evolutionjobs.sg (most preferred, as I may overlook some CVs due to the high volume). Please note that visa sponsorship is not available at this time. Key Responsibilities • Develop and modernize data and analytics solutions supporting business reporting and analytical requirements. • Build and maintain reliable data pipelines and transformation workflows using SQL, Python and modern data engineering tools. • Design and implement dimensional data models, including Star schemas, Fact tables, Dimension tables and Data marts. • Develop and maintain data transformations using dbt or equivalent data transformation frameworks. • Build and manage workflow orchestration using Airflow or equivalent orchestration tools. • Develop reusable business logic, semantic layers and common business metrics to support consistent analytics across the organisation. • Implement and maintain ETL/ELT processes and data warehouse solutions. • Apply software engineering best practices, including Git/version control, code reviews, unit/data testing and CI/CD. • Monitor, troubleshoot and resolve data quality, pipeline and transformation issues independently. • Collaborate with data engineers, analysts, developers and business stakeholders to understand requirements and deliver effective data solutions. • Work with existing business logic and processes to support their migration or redesign using appropriate cloud-native technologies. • Support the development of analytical datasets consumed by BI, reporting and business users. Key Requirements • 3–6 years of relevant experience in Data Engineering, Analytics Engineering, Data Warehousing or related fields. • Strong hands-on experience with SQL. • Good working knowledge of Python for data processing and automation. • Strong understanding and practical experience with dimensional data modelling, including: o Star schemas o Fact and Dimension tables o Data marts • Hands-on experience with dbt or an equivalent data transformation framework. • Experience with at least one workflow orchestration tool, such as Apache Airflow or equivalent. • Good understanding of semantic layers, business metrics and reusable business logic. • Strong understanding of ETL/ELT and data warehouse concepts. • Knowledge of modern software development practices, including: o Git/version control o Code reviews o Unit and data testing o CI/CD • Ability to troubleshoot data and pipeline issues independently. • Good communication and collaboration skills. • Experience with Google Cloud Platform (GCP) is preferred. • Exposure to BigQuery, Cloud Composer, Cloud Storage and other GCP data services is an advantage. • Ability to understand existing .NET business logic and support the conversion or redesign of processes using suitable cloud-native technologies is preferred. • Familiarity with BI and reporting tools and an understanding of how analytical datasets are consumed by business users is an advantage.