. . create world-changing products using God-given talents . . .
Our client is a global alternative investment manager that was founded in November 2009. The firm manages approximately $11 billion in assets and has offices in London, Hong Kong, New York, Zurich, Dubai, Glasgow and Dublin. The firm invests globally in multiple asset classes and strategies to offer a diverse collection of high Sharpe ratio solutions to our clients. We target the best and brightest in the alternative asset management space and strive to create an environment which attracts and retains top talent.
We are looking for a Mid-Sr Software/Data Engineer with expertise in Snowflake, Dagster, and Python to help us migrate SQL queries to Snowflake. As part of the migration process, you’ll work with the Dagster orchestrator, which will be at the core of our data pipeline.
This is an exciting opportunity to be part of a dynamic team working on cutting-edge data technologies. Join us in shaping the future of our data platform!
- 100 % Remote.
- Full-Time job.
- Multinational team – Excellent communication skills in English are needed.
- Start Date: ASAP
- EST Time Zone
- 7 years of experience working with Data.
- Extensive experience with SQL, especially in high-volume data environments.
- Strong experience with Snowflake and its integration within data platforms.
- Expertise in using Dagster for orchestrating complex data workflows.
- Proficiency in Python for data processing and automation tasks.
- Solid understanding of Java for software development tasks.
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
- Lead the migration of SQL queries to Snowflake, ensuring efficiency and accuracy.
- Work with Dagster as the modern data orchestrator to streamline data workflows.
- Leverage Snowflake’s native features where applicable, while preparing for a potential full-scale migration within the next 5 years.
- Utilize Python and Linux for data engineering tasks and operations.
- Develop and maintain software solutions in Java as needed.
- Work with heavy SQL environments to manage and optimize large-scale data processes.
