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1 week ago
We are seeking a skilled Data Architect to lead the design and development of our data lakehouse solution using Apache Iceberg and Apache Spark.
This is an excellent opportunity for someone with experience in designing high-performance data architectures, integrating financial datasets, and creating secure and scalable infrastructure using AWS services.
The ideal candidate will have deep expertise with Apache Spark, Iceberg, ETL frameworks, and distributed computing principles. They should also have strong experience with Docker-based environments and cross-team development practices.
In this role, you will collaborate with Treasury SMEs and other engineers to translate functional goals into technical execution. If you have a passion for building data-driven solutions and want to join a dynamic team, we encourage you to apply.
- 8+ years of experience in data engineering, including domain exposure to Treasury or finance
- Deep 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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Data Infrastructure Engineer
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Data Infrastructure Specialist
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