Requirements
- 3+ years of professional experience, ideally within the financial sector (equity, credit, derivatives trading environments)
- Engineering experience in enterprise database technologies, with strong proficiency in Microsoft SQL Server (MSSQL)
- Development experience across multiple languages (SQL, PowerShell, Python) for solving complex problems and building automation
- Automation-first mindset, including experience with Infrastructure as Code (IaC) and scripting for repeatable deployments
- Database performance tuning and optimization: ability to analyze execution plans, manage indexing strategies, and troubleshoot query bottlenecks
- Database design and modelling fundamentals: normalization, constraints, transactions, and schema versioning
- Version control and CI/CD experience: Git workflows and automated deployments using tools such as Jenkins, Azure DevOps, or GitHub Actions
- Leverage open-source monitoring tools (e.g., Prometheus, Grafana) for performance and health checks
- Excellent verbal and written communication skills for collaboration and documentation
Nice to Have
- Experience with Apache Iceberg on object storage (S3) and engines like Spark/Trino.
- Exposure to multiple database platforms such as PostgreSQL, Snowflake, Amazon Redshift, MongoDB, Cassandra, etc.
- Exposure to distributed data platforms (Kafka)
- Familiarity with enterprise infrastructure (storage, networking, compute), Linux administration (Red Hat) and Windows Server.
- Exposure to Kubernetes
Benefits
- Training and development opportunities
- Robust Wellness Resources: Physical, Mental and Financial
- Time-Off, Retirement and Commuter Benefits
- Gym Reimbursement and other Discounts
