Data Engineer Statistica/ Ml Model

1 week ago


Singapore TECH AALTO PTE. LTD. Full time

**Job Title: Data Engineer - Statistical/ML Models**:
**Location**:Singapore
**Experience**:4-15 years
**Employment Type**:Full-time

**About the Role**:
We are looking for a **Data Engineer**experienced in building and managing **data pipelines for statistical and machine learning models**. The role involves close collaboration with data scientists and analysts to enable scalable model training, data ingestion, and real-time analytics.

**Key Responsibilities**:

- Design, build, and maintain scalable data pipelines to support ML and statistical modeling.
- Integrate structured and unstructured data from multiple sources into analytical environments.
- Implement efficient ETL/ELT workflows for data preparation, cleaning, and feature engineering.
- Collaborate with data science teams to ensure smooth deployment of ML models to production.
- Optimize data workflows for performance, scalability, and reliability.
- Manage data quality, lineage, and governance standards.

**Requirements**:

- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
- 4-15 years of experience as a **Data Engineer**with exposure to **machine learning workflows**.
- Strong proficiency in **Python**and SQL; experience with **data manipulation frameworks**(Pandas, PySpark, DuckDB).
- Familiarity with **ML model lifecycle**, from data preprocessing to deployment.
- Experience with **data pipeline tools**(Airflow, Prefect, dbt) and **cloud platforms**(AWS, Azure, GCP).
- Knowledge of **containerization (Docker)**and **CI/CD pipelines**.
- Experience working in a **quantitative, trading, or data-driven environment**is advantageous.



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