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. 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. 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. 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 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.
Data Cloud Engineer in London employer: Quant Capital
At Quant Capital, we pride ourselves on being an exceptional employer, offering a dynamic and innovative work environment that mirrors the culture of leading tech giants like Facebook and Google. Our London office fosters a collaborative atmosphere where employees are encouraged to think critically and make impactful decisions, while also providing ample opportunities for professional growth and mastery of cutting-edge technology in the trading operations space. With a focus on employee well-being and a commitment to excellence, we ensure that our team members are equipped with the tools and support they need to thrive in their roles.
