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Senior Data Engineer

1 hour, 9 minutes ago
Taiwan
Full-time
Senior
Data Engineer
Software Development
Apache Airflow Apache Spark AWS Azure Datadog dbt Docker GCP Git GitHub Java Kafka Kubernetes Python Scala Snowflake SQL Terraform
Apply Now

hermeneutic Investments

A proprietary trading firm and hedge fund that deploys event-driven long/short discretionary and systematic strategies and also makes strategic long-term investments.

Technology, Information and Internet
11-50
View All Jobs 8

Description

  • Design, build, and optimize pipelines for market data, news feeds, and structured and unstructured sources.
  • Implement data quality checks, validation processes, anomaly detection, and real-time monitoring.
  • Develop and maintain normalized data warehouse structures for cross-departmental use.
  • Ensure scalable, secure, available, and high-performance data storage and processing.
  • Build frameworks and tools that support data exploration, analysis, model development, and multi-source data overlays.
  • Collaborate with research, analytics, and engineering teams to understand and deliver on data needs.
  • Optimize hardware and software resources to balance performance with cost efficiency.
  • Evaluate and adopt data engineering technologies and best practices.

Requirements

  • Strong problem-solving, analytical thinking, and cross-functional communication skills.
  • Proficiency in Python, Java, or Scala, with advanced SQL query development and optimization skills.
  • Experience building and maintaining complex ETL pipelines using Apache Airflow, dbt, or custom scripts.
  • Experience implementing data quality checks and identifying anomalies in ingested data.
  • Strong understanding of dimensional modeling, star and snowflake schemas, and normalization principles.
  • Experience with data warehouses such as Snowflake, Redshift, BigQuery, or Synapse.
  • Expertise with Apache Spark, Kafka, Flink, or similar distributed data technologies.
  • Strong understanding of data security and privacy standards.
  • Degree in Computer Science, Engineering, Mathematics, or a related field preferred.
  • Familiarity with cloud platforms, data quality frameworks, infrastructure as code, containers, governance, observability, machine learning pipelines, or financial services preferred.

Interested in this position?

Apply directly on the company website

Apply Now

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