Cloud Data Engineer – Quanttrading
Quant Capital
Overview
In this role, you will design and operate cloud data infrastructure to support quantitative engineering and research. You will work with cross-functional teams to standardize data management and enable scalable analytics in a hybrid cloud. You will build and maintain an infrastructure-for-code repository and promote secure, efficient data pipelines. This opportunity sits at a well-funded fintech startup-like firm in London, offering high-caliber colleagues and impactful, technology-driven projects.
Pay / Benefits- benefits
- bonus
- Oversee multiple AWS environments and foster cross-team collaboration
- Integrate services and access paths within a data-intensive hybrid cloud
- Develop, enhance, and automate CI/CD pipelines
- Gather requirements to consolidate data management under a unified structure
- Propose hybrid cloud data engineering solutions and provide examples
- Stay current with cloud technology, services, and networking advancements
- Evaluate vendor solutions and deliver internal training to clients
- Bachelor’s degree in a STEM field
- 5+ years of AWS experience, with broad exposure to other cloud vendors
- Deep knowledge of AWS data management and pipelining tools (VPC, EMR, S3, RDS, Kinesis, Glue, Redshift, Data Pipeline)
- Proficiency with infrastructure-as-code tools (Terraform, CloudFormation)
- Strong Kubernetes knowledge
- Proficiency in Python or Go
- Experience building highly available, fault-tolerant big data environments (Hadoop, Spark, PostgreSQL) and using EMR, Athena, RDS
- Security-first mindset with IAM and KMS usage
- Working knowledge of cloud data analytics tools like Databricks and Snowflake
- strong collaboration and communication
- ability to translate business and technical requirements
- training and knowledge sharing
- Terraform
- CloudFormation
- Kubernetes
Reference: WJ-747_30180327