Python Developer

Job Summary For Python Developer (Jersey City - Hybrid)

• Design, develop, and maintain robust Python scripts to automate and orchestrate complex data workflows across on-prem Oracle 19c systems.
• Lead the migration of legacy Perl/PLSQL job scheduling logic into modular, auditable, and fault-tolerant Apache Airflow DAGs.
• Build and integrate custom Airflow operators and sensors for Oracle databases, REST APIs, SFTP/FTP, and external triggers.
• Implement strong error handling, alerting, and retry mechanisms to ensure data quality, traceability, and recoverability.
• Collaborate with DBAs and application teams to understand and document job dependencies, critical paths, and data lineage.
• Develop and maintain job execution logs, audit trails, and SLA monitoring dashboards for operational transparency.
• Participate in code reviews, documentation, and onboarding of new jobs into the orchestration platform.
• Utilize experience with job schedulers (e.g., RunMyJobs, Autosys) and modernize legacy financial data workflows.
• Apply financial domain knowledge, especially in data models and governance, to support critical enterprise data processes.
• Utilize tools such as Git/Bitbucket, Jenkins, and CI/CD pipelines for version-controlled job deployments.

Required Experience

• 5+ years Python development, 2+ years Apache Airflow (production DAGs)
• Strong Oracle 19c, SQL/PLSQL, and job orchestration experience
• Financial data workflow experience in recent projects
• Familiarity with REST APIs, SFTP, and automation best practices
• Hands-on with CI/CD, Git, and modern software delivery practices
• Understanding of data governance, audit, and operational risk in financial systems