Database Engineer - Commodities Quant Platform

Details of the offer

Database Engineer - Commodities Quant Platform

Millennium is a top tier global hedge fund with a strong commitment to leveraging innovations in technology and data science to solve complex problems for the business. We are assembling a strong Database Engineering team to build next generation in-house platforms for several business lines. Our technology teams provide a dynamic and fast-paced environment with excellent growth opportunities.

Responsibilities
Work closely with quants, portfolio managers, risk managers and other engineers in the US, London, Singapore, and Bangalore to develop data intensive and multi-asset analytics for our Fixed Income, Risk, and Commodities businesses
Gather requirements and user feedback in collaboration with fellow engineers and project leads
Drive decisions around enterprise database technology options and implementation across on premise and cloud data centers
Provide expertise, guidance, and support on a variety of database platforms for end users and developers, including data model reviews, query and system performance tuning, and general troubleshooting
Define and enforce database standards and best practices for database design and development and data security
Review and upgrade database maintenance processes and monitoring and alerting capabilities in accordance with best practices
Work closely with DevOps to build new tools and automation around data pipelines, system maintenance tasks, data integrity checks, and the collection of and reporting on database meta data
Support users and operational flows for quantitative risk, senior management and portfolio management teams using the latest database technology
Stay abreast of industry trends, new platforms and tools, and coming up with a business case to adopt new technologies

Qualifications/Skills Required
Advance degree in computer science or any other scientific fields
8+ years of hands-on DBA experience in a both an operational and database development capacity
In-depth experience with database administration for Microsoft SQL Server, PostgreSQL, and MongoDB
Secondary experience and knowledge with data warehouse platforms such asSnowflake, Redshift, Kinetica, Vertica, and distributed processing technologies (e.g., Hadoop, Flink, Spark)
Experience with cloud databases in the AWS and GCP ecosystems
Experience matching business requirements with appropriate database solutions
Hands-on experience designing schema and data access patterns for high performance, high throughput systems
Experience with database performance tools that capture database metrics and query analytics such as Solarwinds, Redgate, or Quest
Experience working on at least one monitoring/observability stack such as Datadog, ELK, Splunk, Loki, or Grafana
Knowledge of High Availability (HA) and Disaster Recovery (DR) options for on premise and cloud databases
Experience with virtualization platforms and Storage Area Network (SAN) technologies
Experience with reporting/visualization tools such as Tableau or PowerBI
Experience in writing automation scripts, building application dashboards for proactive monitoring using PowerShell, Python scripting or similar technologies, ability to debug and optimize code and automate routine tasks
Experience with Unix or Linux
Strong communication skills to collaborate with various stakeholders
Quick learner, detail oriented; Demonstrable thoroughness and strong ownership of work
Good team player with a strong willingness to participate and help others
Able to prioritize and work independently in a fast moving, high pressure, constantly changing environment; High sense of urgency

Qualifications/Nice to have
Exposure in developing web applications using the Flask framework
Exposure to and basic understanding of designing and implementing RESTful APIs
Knowledge of Windows Clustering, Windows Services, and Windows Server Configuration knowledge
Experience with a messaging middleware platform like Solace, Kafka or RabbitMQ

Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. When finalizing an offer, we take into consideration an individual's experience level and the qualifications they bring to the role to formulate a competitive total compensation package.


Nominal Salary: To be agreed

Source: Eightfold_Ai

Job Function:

Requirements

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