Python Developer
6 days ago
Technical Requirements:
- Strong experience with Python, Apache Airflow, Oracle Database, PL/SQL, and Stored Procedures
- Must have experience using a job scheduling tool (RunMyJob preferred; Autosys or others acceptable)
- Previous work in modernizing legacy systems is highly desirable
- The team is modernizing a large codebase consisting of 700-800 legacy Perl scripts interacting with Oracle DB
- Goal is to replace these scripts with a more maintainable, testable solution using Python and Apache Airflow
- Scripts must be assessed, tested, updated, and migrated
- Financial services experience is a plus but not required
- Expect to automate and streamline existing processes
- Will work closely with database and infrastructure teams
We're seeking an experienced Python Developer to lead the automation and orchestration of complex data workflows. You'll play a key role in replacing legacy Perl/PLSQL scheduling logic with modern, Python-based DAG orchestration using Apache Airflow.
Key Responsibilities:
- Develop, deploy, and maintain Python-based automation scripts for jobs on Oracle 19c
- Design and implement Apache Airflow DAGs for ETL workflow management
- Migrate existing scheduling logic from Perl, RunMyJob, and PL/SQL into modular, observable Airflow pipelines
- Build custom Airflow operators/sensors to integrate with Oracle, REST APIs, file systems (SFTP/FTP), and external triggers
- Implement robust error handling, alerting, and retry logic
- Work with DBAs and application teams to understand dependencies, critical paths, and data lineage
- Establish logging, audit trails, and SLA monitoring
- Contribute to code reviews and documentation
- 5+ years of Python development focused on automation and orchestration
- 2+ years working with Apache Airflow in a production environment
- Strong knowledge of Oracle 19c, SQL tuning, and PL/SQL
- Hands-on experience with job schedulers like RunMyJob, Autosys, or similar
- Strong debugging and troubleshooting skills (logs, databases, filesystems)
- Experience with REST APIs, SFTP/FTP, and parameter-driven workflows
- Experience modernizing from Perl or PL/SQL
- Knowledge of Git/Bitbucket, Jenkins, and CI/CD pipelines
- Exposure to financial data models (e.g., NAVs, holdings, transactions, tax lots)
- Understanding of data governance, audit, and risk considerations in financial systems
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