Data Engineer, Oracle PL/SQL, Python, AWS
5 days ago
Role & responsibilities
• Design, develop, and optimize complex SQL queries, stored procedures, and data models for Oracle-based systems
• Create and maintain efficient data pipelines for extract, transform, and load (ETL) processes
• Design and implement data quality controls and validation processes to ensure data integrity
• Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications
• Establish documentation standards and ensure comprehensive system documentation
• Lead troubleshooting efforts and resolve complex database performance issues
• Design and implement integrations between Oracle systems and cloud services, particularly AWS S3
• Lead code reviews and establish best practices for database development
• Design and implement data migration strategies from legacy systems to modern cloud-based solutions
• Work within an Agile framework, taking a leadership role in sprint planning and technical discussions
Preferred candidate profile
• 4-15 years of experience with Oracle databases, including advanced SQL and PL/SQL development
• Strong knowledge of data modelling principles and database design patterns
• Proficiency with Python for data processing and automation
• Extensive experience implementing and maintaining data quality controls
• Proven ability to reverse engineer existing database schemas and understand complex data relationships
• Strong experience with version control systems, preferably Git/GitHub
• Excellent written communication skills for technical documentation
• Demonstrated ability to work within and help guide Agile development methodologies
• Strong knowledge of investment management industry concepts, particularly security reference data, fund reference data, transactions, orders, holdings, and fund accounting.
Additional Qualifications:
• Knowledge of SQL Server development
• Experience with ETL tools like Informatica and Control-M
• Unix shell scripting skills for data processing
• Experience with CI/CD pipelines for database code
• Familiarity with AWS services, particularly S3, Lambda, and Step Functions
• Knowledge of database security best practices
• Experience with data visualization tools (Tableau, Power BI)
• Experience mentoring junior developers
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