Data Engineer (PLSQL &Python)
Summary
Data engineer at Fidelity International in Bangalore building and maintaining Oracle-based data solutions for investment management: advanced SQL/PL/SQL development, Python automation, reverse-engineering complex schemas, and data quality controls, working in Agile with Git and some AWS exposure.
Essential Skills and Experience
• 5+ years of experience with Oracle databases, including advanced SQL development
• Strong knowledge of data modeling principles and database design
• Proficiency with Python for data processing and automation
• Experience implementing and maintaining data quality controls
• Experience with AI-assisted development (GH copilot, etc..)
• Ability to reverse engineer existing database schemas and understand complex data relationships
• Experience with version control systems, preferably Git/GitHub
• Excellent written communication skills for technical documentation
• Demonstrated ability to work within Agile development methodologies
• Knowledge of investment management industry concepts, particularly security reference data, fund reference data, transactions, orders, holdings, different asset classes and fund accounting.
Desirable Skills and Experience
• Experience with PL/SQL development (stored procedures, functions, packages)
• Knowledge of SQL Server and T-SQL development
• Experience with ETL tools like Informatica and Control-M
• Unix shell scripting skills for data processing and automation
• Familiarity with CI/CD pipelines for database code
• Experience with AWS services, particularly S3, Lambda, and Step Functions
• Knowledge of database security best practices
• Experience with data visualization tools (Tableau, Power BI)
• Background in mentoring junior developers or knowledge sharing
• Experience of front office investment risk and/or analytics systems