Data Engineer Statistica/ ML Model

3 days ago


Singapore TECH AALTO PTE. Ltd Full time

Description 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. When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the Tech Aalto Privacy Policy, a copy of which is published at Tech Aalto's website Confidentiality is assured, and only shortlisted candidates will be notified for interviews. #J-18808-Ljbffr Industry Other Category IT & Technology Sub Category Database, Analytics & BI



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