Database Engineer

As a Database Engineer at our company, your role will involve designing, implementing, and maintaining scalable databases and ETL pipelines for managing large volumes of time-series and cross-sectional data. The ideal candidate for this position should possess strong database design skills along with hands-on experience in Python and modern data workflow tools. **Key Responsibilities:** - Design, build, and maintain relational databases, primarily PostgreSQL, to support high-volume time-series and cross-sectional datasets - Develop, monitor, and optimize ETL pipelines to ensure reliability, scalability, and data integrity - Implement automated workflows using Apache Airflow or similar DAG orchestration tools - Collaborate with traders, quants, and developers to translate business and research needs into robust data models and pipelines - Proactively manage database performance through tuning and partitioning strategies - Own the full lifecycle of data infrastructure from ingestion and storage to transformation and access - Develop and maintain analytics dashboards and automated reporting systems for actionable insights - Automate recurring analytical workflows for accuracy, timeliness, and scalability - Establish best practices for data governance, security, and documentation **Qualification Required:** - Strong understanding of database design, normalization, indexing, and query optimization - Proficiency in Python and SQL for ETL and data manipulation - Experience with Apache Airflow or similar DAG-based orchestration frameworks - Comfort working with large-scale, high-frequency time-series and cross-sectional data - Strong skills in data analysis, statistical techniques, and visualization tools such as Tableau, Power BI, Excel, or Plotly - Experience in automating reports and delivering analytics in fast-paced trading or financial environments - Passion for financial markets - Strong analytical and problem-solving skills - Ability to adapt to a dynamic work environment and manage large impact situations effectively - Keenness to learn and grow, with the flexibility to work both independently and as part of a team If you are interested in this position, we prefer candidates who also have experience with streaming data frameworks, exposure to quantitative research workflows and financial reporting automation, familiarity with cloud-based data platforms, and an understanding of security principles and best practices in software development.,