Data
Senior Data Engineer
Job ID: #
Position: Senior Data Engineer (Hedge Fund Domain)
Location: Singapore
Company Overview:
Our client is a leading hedge fund e.g., quantitative trading, algorithmic strategies, etc. With a strong track record of success and a dedication to innovation in APAC region.
Job Description:
As a Data Engineer, you will play a pivotal role in designing, developing, and maintaining our data infrastructure to support our quantitative research and trading activities. You will collaborate closely with quantitative analysts, traders, and other stakeholders to build scalable and efficient data pipelines, integrate diverse datasets, and optimize data workflows. This role offers a unique opportunity to work on cutting-edge technologies and contribute directly to the success of our investment strategies.
Responsibilities:
- Design, develop, and maintain robust data pipelines to ingest, process, and analyze large volumes of financial data from diverse sources.
- Collaborate with quantitative analysts and traders to understand data requirements and implement solutions to support research and trading strategies.
- Optimize data storage and retrieval mechanisms to ensure high performance and scalability.
- Implement data quality checks and monitoring processes to ensure the integrity and reliability of data.
- Work closely with cross-functional teams to integrate new datasets and technologies into existing infrastructure.
- Stay current with industry trends and best practices in data engineering and technology.
Industry
Location:
Singapore
Company Size:
Job Type:
Full time
Date:
Requirements
- Bachelor's or advanced degree in Computer Science, Engineering, or a related field.
- Proven experience as a Data Engineer or similar role within the hedge fund, financial services, or quantitative trading domain.
- Strong programming skills in languages such as Python, Java, or Scala.
- Experience with big data technologies such as Apache Spark, Hadoop, or similar.
- Proficiency in SQL and database technologies (e.g., PostgreSQL, MySQL, MongoDB).
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes) is a plus.
- Excellent problem-solving skills and ability to work effectively in a fast-paced, collaborative environment.
- Strong communication and interpersonal skills.