Senior Data Engineer

🔥 7 minutes ago

🌐 Taiwan, Singapore, +1 more countries – Remote

🇹🇼 Taiwan – Remote 🇸🇬 Singapore – Remote 🇨🇳 China – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 15%

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hermeneutic Investments

WebsiteLinkedInAll Job Openings

11 - 50 employees

💸 Finance

Finance

hermeneutic Investments is a proprietary trading firm and hedge fund that deploys research-driven discretionary and systematic trading strategies while also making strategic long-term investments. The firm emphasizes alpha generation, open debate, relentless iteration, teamwork, and a strong, hard-wired approach to risk management and opportunistic market participation. Partners bring a decade-long track record in trading and business building, and the firm positions itself for continued expansion in challenging market environments.

📋 Description

• Design, build, and optimize scalable pipelines for ingesting, transforming, and integrating large-volume market data, news feeds, and unstructured data • Ensure data quality, consistency, and real-time monitoring • Develop processes to normalize and organize the data warehouse for use across departments • Apply advanced data management practices to ensure scalable, available, and efficient data storage • Maintain data integrity, security, and performance at scale for trading and research infrastructure • Collaborate with research and analytics teams to understand data needs and build data exploration, analysis, and model-development frameworks • Create tools for overlaying data from multiple sources • Optimize storage, processing, and management for cost efficiency while balancing performance and cost control • Evaluate and adopt suitable data engineering technologies and align systems with current data management best practices

🎯 Requirements

• Strong problem-solving and analytical thinking • Clear communication skills for cross-functional collaboration • Proficiency in building robust data quality checks for ingested data • Experience identifying anomalies in ingested data • Strong proficiency in writing complex SQL (and similar) queries and optimizing performance • Proficiency in Python or Java/Scala • Experience building and maintaining complex ETL pipelines with tools like Apache Airflow, dbt, or custom scripts • Strong understanding of dimensional modeling, star/snowflake schemas, normalization/denormalization principles • Proven experience with platforms like Snowflake, Redshift, BigQuery, Synapse, etc. • Expert knowledge of Apache Spark, Kafka, Flink, or similar • Strong understanding of data security and privacy standards • Familiarity with a major cloud platform and its data services, proven by relevant certifications • Experience with data quality frameworks such as Great Expectations or Deequ • Experience with Git/GitHub or similar for code versioning • Experience with infrastructure-as-code tools such as Terraform or CloudFormation • Exposure to containerization/orchestration with Docker or Kubernetes • Familiarity with data governance, data lineage, and catalog tools • Hands-on experience with observability and monitoring tools for data pipelines • Knowledge of machine learning pipelines • Prior experience in a trading or financial services environment

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