Mid-level Data/Analytics Engineer in Singapore supporting the development and modernization of a data and analytics platform: building dimensional models and data marts, writing SQL/Python transformations with dbt, orchestrating pipelines with Airflow, and following strong engineering practices, ideally with GCP exposure (BigQuery, Cloud Composer).
Job Summary
Seeking a mid-level Analytics Engineer / Data Engineer with strong SQL, Python, data modelling, dbt, orchestration, and modern software engineering skills to support data platform development and modernization.
Mandatory Skill-set
Must have 3-6 years of relevant Data/Analytics Engineering experience
Must have strong hands-on SQL and good Python knowledge
Experience in dimensional data modelling and data marts
Hands-on experience with dbt or equivalent transformation frameworks
Experience with Airflow or equivalent orchestration tools
Understanding of semantic layers and business metrics
Knowledge of Git, code reviews, testing, and CI/CD
Strong understanding of ETL/ELT and data warehouse concepts
Ability to troubleshoot data and pipeline issues independently.
Desired Skill-set
Experience with GCP, including BigQuery, Cloud Composer, and Cloud Storage
Exposure to .NET business logic, BI/reporting tools, and analytical data consumption.
Responsibilities
Support development and modernization of data and analytics platforms
Develop and maintain SQL and Python-based data solutions
Build dimensional models, fact tables, dimension tables, and data marts
Develop data transformations using dbt or equivalent frameworks
Build and manage workflows using Airflow or equivalent tools
Implement reusable business logic, metrics, and semantic-layer concepts
Troubleshoot data and pipeline issues and follow software engineering best practices.
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