Database Engineer
Neo Wealth and Asset ManagementNadiad, IN4 hours ago
Job descriptionStrong 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 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
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 :
Preferred Skills :
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Database Engineer • Nadiad, IN
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