Data Engineer - V

ATTIX APAC PTE. LTD.; Singapore; Hybrid; SGD 60,000 - 80,000; Full time

Job summary

A dynamic fintech company in Singapore seeks a Data Engineer to join its team. This role involves ensuring data integrity for machine-learning models, including significant responsibilities for data cleaning, processing, and governance. Candidates should have 1-2 years of relevant experience and a Bachelor's degree in a quantitative field. Proficiency in SQL and Python, along with strong analytical skills, is essential. The position offers a hybrid work model.

Qualifications

• 1-2 years of relevant experience.
• Experience with data preprocessing and wrangling.
• Familiarity with additional programming languages is an advantage.

Responsibilities

• Collect, clean, and process raw data from diverse sources.
• Develop and maintain databases, data systems, and pipelines.
• Implement data validation processes for accuracy.

Skills

Data cleaning

SQL

Python

Shell scripting

Analytical skills

Communication skills

Education

Bachelor's degree in Computer Science or related field

Tools

SQL databases

AWS

Python libraries

Apache Airflow

Job description

About Us

We are a dynamic fintech company leveraging AI to predict market trends and deliver advanced trading technology. Our mission is to democratize access to top-tier trading tools, empowering retail investors to compete with professional traders.

• Working Hours: Monday - Thursday (8 AM - 6 PM); Friday (8 AM - 5:30 PM)
• Hybrid Work

Job Overview

We are looking for a Data Engineer to join our team in Singapore. This individual will play a pivotal role in ensuring the integrity and quality of data that powers our machine-learning models. Responsibilities include data cleaning, processing, and organization, as well as implementing data governance practices to maintain data accuracy and compliance.

Key Responsibilities

• Collect, clean, and process raw data from diverse sources for use in our predictive models.
• Develop and maintain databases, data systems, and data pipelines to ensure seamless data flow.
• Implement data validation processes to guarantee data accuracy and reliability.
• Collaborate with data scientists and machine learning engineers to understand data requirements and deliver high-quality datasets.
• Identify and execute data process improvements, such as automating manual tasks and optimizing data delivery.
• Establish and enforce data governance practices to ensure data quality, integrity, and compliance with regulatory standards.
• Implement and maintain robust security measures to protect data confidentiality.

Required Skills/Experience

• With 1 - 2 years of relevant experience.
• Bachelor's degree in Computer Science, a related quantitative field (e.g., Mathematics, Statistics, Engineering), or equivalent practical experience.
• Extensive experience in data cleaning, preprocessing, and wrangling.
• Proficiency in SQL, Python, and Shell scripting.
• Familiarity with additional programming languages is an advantage.
• Experience managing large datasets and developing data pipelines.
• Strong analytical and problem-solving skills.
• Meticulous attention to detail.
• Excellent communication skills.

Preferred Skills/Experience

• Experience in financial data analysis or working in a fintech environment.
• Understanding of machine learning concepts and processes.
• Experience with cloud platforms (e.g., AWS, Google Cloud, Azure).
• Experience with relational databases and data lakes.
• Proficiency with Apache Airflow for workflow automation.
• Knowledge of data governance frameworks and best practices.

Kindly note that only shortlisted candidates will be notified.