Analytics Platform Engineer
3 weeks ago
Do you want to tackle the biggest questions in finance with near infinite compute power at your fingertips?
G-Research is a leading quantitative research and technology firm, with offices in London and Dallas. We are proud to employ some of the best people in their field and to nurture their talent in a dynamic, flexible and highly stimulating culture where world-beating ideas are cultivated and rewarded.
This is a hybrid role based in our new Dallas infrastructure hub where we work on the latest technologies in a cutting-edge environment.
The role
G-Research is seeking a Platform Engineer to join its growing Analytics Services Engineering team.
Our business focuses on forecasting financial markets and we use an ever-growing amount of data and processing to achieve this.
The Analytics Services Engineering team manages a significant distributed Cloudera Hadoop platform supporting Hadoop/YARN/HDFS, Spark, and Trino among other technologies, with a focus on analytics use cases at petabyte scale.
Our focus is on customer success and managing secure distributed systems at scale with robust automation and self-healing capabilities built on top of a mixture of bare metal, private and public cloud virtualization, and stateless services deployed into kubernetes.
As an Analytics Platform Engineer, you will help us to deliver integration, automation, and new feature enhancements to our existing hybrid cloud platforms.
You will also help us to research new technologies and explore opportunities with Open Source and Cloud based products while working closely with customers to ensure user focused outcomes.
Key responsibilities of the role include:
- Developing, deploying and maintaining distributed systems through automation.
- Delivering engineering solutions ensuring they are scalable, stable, performant, and operationally efficient
- Providing metrics, documentation, and self-service capabilities to help our customers work at pace and get the most out of the platforms
- Proactively identifying and addressing system performance bottlenecks, security vulnerabilities, and areas for improvement to ensure systems are stable and robust
- Participating in the out of hours rota, providing support and maintenance for our critical systems across the Analytics Services ecosystem
Whatever your technical background, good coding ability is essential for this role.
The ideal candidate will have the following skills and experience:
- Excellent coding skills, preferably Python
- Experience with CI/CD pipelines, such as Jenkins and ArgoCD
- Experience with Configuration Management tools, such as Ansible and Terraform
- Experience deploying and running applications on Docker and Kubernetes, including the creation of Helm charts
- Experience working with AWS deployments
- Proficiency with Linux using either Centos or Ubuntu
- Proficiency with computer networking fundamentals
- Operating and supporting distributed analytics and stream data processing systems at scale including Spark, Trino, and Kafka
- Operating and supporting Hadoop, HDFS, HIVE, OZone
- Experience developing end-to-end analytics solutions
- Experience with cloud-based analytics capabilities such as AWS EMR, Redshift, Kinesis, Snowflake, and Athena
- Market-leading compensation plus annual discretionary bonus
- Informal dress code and excellent work/life balance
- Excellent paid time off allowance of 25 days
- Sick days, military leave, and family and medical leave
- Generous 401(k) plan
- 16-weeks' fully paid parental leave
- Medical and Prescription, Dental, and Vision insurance
- Life and Accidental Death & Dismemberment (AD&D) insurance
- Employee Assistance and Wellness programs
- Generous relocation allowance and support
- Great selection of office snacks, and hot and cold drinks
- On-site gym and car parking
G-Research is committed to cultivating and preserving an inclusive work environment. We are an ideas-driven business and we place great value on diversity of experience and opinions.
We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section
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