Cloud Data Engineer – Quanttrading

Cloud Data EngineerHybrid130,000-160,000 + benefits and bonusQuant Capital is urgently looking for a Cloud Data Engineer to join our high profile client.My client is a prestigious quantitative trading firm renowned for combining cutting-edge technology with exceptional talent, my client operates globally in various markets. They embrace autonomy and agility, allowing them to seize opportunities by trading with internal capital and assuming their own risks.We are currently seeking a talented Cloud Engineer to join my client’s Core Infrastructure Services team. In this role, you will collaborate with various teams across the firm to empower engineers in exploring firmwide solutions for quantitative engineering and research.You will play a vital role in establishing and building an infrastructure-as-code (IAC) repository while maintaining responsive communication with teammates. Collaboration with information security and infrastructure colleagues will be essential.Responsibilities:Oversee multiple AWS environments, promoting collaboration among teams and providing support for their development initiatives.Integrate services and access routes within a data-intensive hybrid cloud environment.Develop, enhance, and fully automate CI/CD development cycles.Gather business and technical requirements to propose solutions that consolidate data management under a unified structure across the organization.Offer recommendations and create illustrative examples of hybrid cloud technology solutions for data engineering.Stay up-to-date with the latest advancements in cloud technology, services, and networking.Evaluate vendor solutions, generate recommendations, and deliver internal training to clients.Requirements:Bachelor’s degree in a STEM field5+ years of experience working with Amazon Web Services (AWS), including exposure to other cloud vendorsIn-depth understanding of AWS’s suite of tools and services for data management and pipelining, including VPC, EMR, S3, RDS, Kinesis, Glue, Redshift, and Data Pipeline.Proficiency in infrastructure-as-code tools such as Terraform, CloudFormation, and related technologies.Strong knowledge of Kubernetes.Proficiency in at least one back-end programming language, such as Python or Go.Expertise in constructing highly available and fault-tolerant big data environments in the cloud, utilizing NoSQL and RDMS technologies like Hadoop, Spark, PostgreSQL, and cloud-based management tools such as EMR, Athena, and RDS.Ability to implement systems with a security-first mindset, adhering to firm-wide security policies and utilizing cloud-based security tools like IAM and KMS.Working knowledge of cloud-based data analytics solutions, such as Databricks and Snowflake.This is an environment akin to a well-funded FinTech startup where tech is number 1 with a big budget allocated towards technology. The firm is known globally for its attitudes and rigour more importantly, you will be surrounded by smart people deeply interested learning and in teaching what they know, as well as learning from you.My client is based in London