Data Analytics Engineer
Summary
Data Engineer/Analyst in Singapore who designs, builds, and maintains scalable ETL/ELT data pipelines and data models, writes SQL analyses, and builds BI dashboards. The role also develops AI-driven analytics and machine-learning models for forecasting, trend, and anomaly detection to support business decisions.
Data Engineer/Analyst to design, build, and maintain scalable data pipelines and deliver actionable analytics, including AI-driven analytics and predictive/forecasting models, to support business decision-making. This role bridges data infrastructure engineering with analytical and predictive reporting, build robust ETL/ELT pipelines, apply machine learning for forecasting, and translate data into insights via dashboards and ad hoc analysis.
Key Responsibilities:
- Design, build, and maintain ETL/ELT pipelines to ingest, transform, and load data from multiple sources (databases, APIs, files, streaming)
- Develop and optimize data models for analytics and reporting
- Build and maintain dashboards/reports using BI tools
- Write efficient SQL queries and perform data analysis to answer business questions
- Ensure data quality, integrity, and governance across pipelines
- Monitor and troubleshoot data pipeline performance and failures
- Collaborate with stakeholders to gather requirements and translate them into data solutions
- Document data flows, schemas, and definitions for maintainability
- Support ad hoc data requests and exploratory analysis
- Develop AI-driven analytics and predictive models (forecasting, trend detection, anomaly detection) to support data-driven decision-making
- Apply machine learning techniques to historical data for forecasting business/operational outcomes (e.g., demand, cost, schedule risk)