
Data Systems Developer
1 day ago
We are seeking a skilled data engineer to develop and maintain large-scale data systems.
Key Responsibilities- Design and implement scalable data pipelines using Apache Iceberg and Apache Spark
- Collaborate with stakeholders to identify data integration needs and create secure, high-performance infrastructure
- Develop Docker-based environments and containerized workflows for smooth deployment and team collaboration
- Work closely with Treasury SMEs and engineers to translate functional goals into technical execution
- 8+ years of experience in data engineering, including domain exposure to Treasury or finance
- Deep expertise in distributed computing principles, Apache Spark, ETL frameworks, and data orchestration
- Strong experience with AWS services for data transformation and Docker-based development practices
- Solid grasp of cross-team development and containerization principles
- Bonus: Experience with data lakehouse technologies such as AWS Glue, Nessie, or Trino
- Bonus: Familiarity with financial instruments, liquidity models, or regulatory requirements
A collaborative work environment, opportunities for growth and development, and the chance to make a meaningful impact on our organization's success.
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