Data Pipeline Architect and Quantitative Analyst
4 days ago
We are seeking an experienced Data Engineer to join our team at Realtime Recruitment. As a member of our data engineering team, you will be responsible for designing, developing, and maintaining scalable data pipelines for high-frequency and large-scale data processing.
You will work closely with our quantitative analysts, traders, and developers to integrate various data sources into a cohesive data architecture. Our goal is to develop cutting-edge models, analytics, and technology solutions that drive business growth and success.
Key Responsibilities:
- Design, develop, and maintain scalable data pipelines for high-frequency and large-scale data processing.
- Collaborate with cross-functional teams to optimize data access, storage, and processing.
- Implement robust ETL processes to ensure data integrity and availability.
- Develop and optimize real-time and historical data retrieval systems for analysis and model development.
- Improve data system performance, ensuring low-latency and high-availability for critical applications.
- Implement data governance, security, and best practices in data management.
- Automate workflows to improve operational efficiency in data ingestion, transformation, and analysis.
- Stay updated on emerging technologies and best practices in data engineering, cloud computing, and big data.
Requirements:
- Bachelor's, Master's, or PhD in Computer Science, Data Engineering, Mathematics, or a related field.
- 3+ years of experience in data engineering, preferably in trading and capital markets.
- Proficiency in Python and experience with Python libraries for data processing.
- Experience with big data technologies like Spark, Hadoop, and Kafka.
- Knowledge of cloud platforms such as AWS, GCP, or Azure.
- Familiarity with data modeling, ETL workflows, and pipeline orchestration tools (e.g., Airflow, Prefect).
- Understanding of data storage methodologies and distributed computing principles.
- Excellent communication skills to effectively interact with quantitative analysts, traders, and developers.
- Strong problem-solving skills, attention to detail, and ability to work in a fast-paced environment.
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