
Chief Data Solutions Architect
1 week ago
We are seeking a seasoned data engineer to join our dynamic team.
- About the Role:
- The successful candidate will be responsible for designing and implementing cutting-edge data solutions using big data technologies, particularly within a Spark environment.
Main Responsibilities:
- Collaborate with the business and fellow engineers to design and implement solutions.
- Develop expert-level core Python development skills, including hands-on coding with production-grade systems.
- Familiarity with modern CI/CD practices, modular code structuring, and automated testing for pipelines.
- Strong understanding of PySpark/ Spark technologies, distributed computing concepts and Spark performance tuning.
- Experience in financial domain development as a data engineer.
Key Requirements:
- Expert level core Python development skills including hands-on coding with production-grade systems.
- Strong understanding of cloud big data implementations/tools such as AWS EMR, Databricks, Palantir Foundry, or equivalent.
- Well-versed in Data Structures, complexity theory and CS fundamentals.
- Strong analytical and communication skills - capable of translating business requirements into performant data solutions.
Why Work With Us?
- Flexible work arrangements to help you achieve a greater work/life balance.
- Tailored learning and development opportunities to help your grow your career.
- Lots of opportunities to 'give back' to the community by getting involved in volunteering initiatives.
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