Analytics Platform Engineer

2 weeks ago

Dallas TX, United States G-Research Full time

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.
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.
Developing, deploying and maintaining distributed systems through automation.
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.
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
More senior candidates may additionally have experience with:
Operating and supporting distributed analytics and stream data processing systems at scale including Spark, Trino, and Kafka
Experience with cloud-based analytics capabilities such as AWS EMR, Redshift, Kinesis, Snowflake, and Athena
Sick days, military leave, and family and medical leave
Medical and Prescription, Dental, and Vision 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

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