Database Engineer

Position Title : Database Engineer

Summary :

As a Database Engineer, you will be responsible for designing, implementing, and maintaining scalable databases and ETL pipelines for large volumes of time-series and cross-sectional data. The ideal candidate combines strong database design skills with hands-on experience in python and modern data workflow tools.

Job Responsibilities :

The position holder shall be responsible for :

Design, build and maintain relational databases (primarily PostgreSQL) to support high volume time-series and cross-sectional datasets

Develop, monitor and optimize ETL pipelines, ensuring 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, 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 to provide actionable insights for traders, quants and management

Automate recurring andaalytical workflows, ensuring accuracy, timeliness, scalability

Establish best practices for data governance, security and documentation

Knowledge, Competency and Skills requirement :

Strong understanding of database design, normalization, indexing and query optimization

Proficiency in Python & 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 (e.g., 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 show exceptional prowess at managing large impact situations

Keen to learn, hungry for growth

Flexibility to work independently and as a part of the team

Preferred Skills :

Experience with streaming data frameworks

Exposure to quantitative research workflows and financial reporting automation

Familiarity with cloud-based data platforms

Understanding of security principles and best practices in software development