
Data Engineering Specialist
14 hours ago
- Design and develop a data lakehouse solution using Apache Iceberg and Apache Spark
- Enable high-performance Treasury analytics, integrating financial datasets and reporting engines
- Work with AWS services to create secure and scalable infrastructure
- Use Docker and containerized workflows to ensure smooth deployment and team collaboration
- Collaborate with Treasury SMEs and other engineers to translate functional goals into technical execution
- 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
This role requires a strong understanding of data engineering principles, advanced analytical skills, and the ability to work collaboratively within a team environment.
The successful candidate will be responsible for designing and implementing data engineering solutions that meet business requirements, ensuring data quality, security, and scalability.
In addition, the Data Engineering Specialist will work closely with the Treasury team to identify opportunities for process improvements and implement changes to enhance business outcomes.
What You'll Gain:
This role offers a unique opportunity to grow your career as a data engineering specialist, working on challenging projects and collaborating with experienced professionals.
You will gain hands-on experience with industry-leading tools and technologies, expand your skillset, and contribute to the success of our organization.
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