
Data Engineering Professional
1 day ago
Are you a highly skilled data engineer looking to drive business growth through innovative data solutions?
We are seeking an experienced professional to join our team as a Data Engineer, working on the development of a cutting-edge data lakehouse solution using Apache Iceberg and Apache Spark.
The ideal candidate will have a strong background in data engineering, with expertise in designing and developing scalable data architectures, integrating financial datasets and reporting engines, and ensuring secure and efficient data processing.
This is an excellent opportunity to collaborate with a talented team of engineers and Treasury SMEs to translate functional goals into technical execution and drive business outcomes.
Key Responsibilities:
- Data Lakehouse Solution Design: Develop a robust data lakehouse solution utilizing Apache Iceberg and Apache Spark to enable high-performance analytics and data processing.
- Treasury Analytics: Integrate financial datasets and reporting engines to deliver actionable insights and support informed business decisions.
- AWS Services: Utilize AWS services for data orchestration and transformation, ensuring secure and scalable infrastructure.
- Docker and Containerization: Implement Docker-based environments and cross-team development practices to ensure smooth deployment and collaboration.
Required Skills and Qualifications:
- 8+ years of experience in data engineering, including domain exposure to Treasury or finance.
- Deep expertise in 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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