
Data Engineer
2 days ago
Unlock Data Engineering Opportunities
As a Data Engineer, you will design and develop data lakehouse solutions using Apache Iceberg and Apache Spark. Collaborate with Treasury SMEs and other engineers to translate functional goals into technical execution.
Key Responsibilities- Design and develop a data lakehouse solution using Apache Iceberg and Apache Spark
- Enable high-performance Treasury analytics by integrating financial datasets and reporting engines
- Work with AWS services to create secure and scalable infrastructure
- Utilize Docker and containerized workflows for smooth deployment and team collaboration
Required Skills and Qualifications: A minimum of 8 years of experience in data engineering, including domain exposure to Treasury or finance, expertise with Apache Spark, Iceberg, ETL frameworks, and distributed computing principles, strong experience with AWS services for data orchestration and transformation, solid grasp of Docker-based environments and cross-team development practices, bonus: experience with data lakehouse related technologies such as AWS Glue, Nessie, or Trino, bonus: familiarity with financial instruments, liquidity models, or regulatory requirements.
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