Database Engineer - Commodities Quant Platform

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 as Snowflake, 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. #J-18808-Ljbffr