Senior Data Engineer

Job not on LinkedIn

🔥 3 minutes ago

🌐 Taiwan, Singapore, +1 more countries – Remote

🇹🇼 Taiwan – Remote 🇸🇬 Singapore – Remote 🇭🇰 Hong Kong – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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

• Architect, implement, and operate the complete data infrastructure pipeline for research and trading operations • Design, build, and optimize scalable pipelines for ingesting, transforming, and integrating market data, news feeds, and unstructured data • Ensure data quality, consistency, and real-time monitoring using dbt and data validation libraries • Develop processes to normalize and organize the data warehouse for use across departments • Apply 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 frameworks for exploration, analysis, and model development • Create tools for overlaying data from multiple sources • Optimize hardware and software resources to balance performance with cost control • Evaluate and adopt suitable technologies and align systems with 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 queries and optimizing performance • Proficiency in Python or Java/Scala • Experience building and maintaining complex ETL pipelines with Apache Airflow, dbt, or custom scripts • Strong understanding of dimensional modeling, star/snowflake schemas, and normalization/denormalization principles • Proven experience with Snowflake, Redshift, BigQuery, Synapse, or similar platforms • Expert knowledge of Apache Spark, Kafka, Flink, or similar • Strong understanding of data security and privacy standards • Degree in Computer Science, Engineering, Mathematics, or a related field is preferred • Familiarity with AWS, GCP, or Azure and their data services, proven by relevant certifications is preferred • Experience with data quality frameworks such as Great Expectations or Deequ is preferred • Experience with Git/GitHub or similar for code versioning is preferred • Experience with infrastructure-as-code tools such as Terraform or CloudFormation is preferred • Exposure to Docker and Kubernetes is preferred • Familiarity with data governance, data lineage, and catalog tools is preferred • Hands-on experience with observability and monitoring tools for data pipelines is preferred • Knowledge of machine learning pipelines is preferred • Prior experience in a trading or financial services environment is preferred