Lead Python Developer for Airflow Data Orchestration on Oracle

Artifintech

Jersey City (NJ)

On-site

USD 120,000 - 170,000

Full time

44 hours ago
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Job summary

Artifintech seeks an experienced Python Developer to lead automation of complex data workflows on Oracle 19c on-prem. You will design and implement Airflow DAGs to replace legacy Perl/PLSQL scheduling and ensure traceability and data quality.

You will build custom Airflow operators for Oracle, REST APIs, and file transfers, while driving observability, alerts, and recoverability across the pipeline.

Qualifications

  • 5+ years of Python development experience, focusing on automation and orchestration.
  • 2+ years of Apache Airflow building production DAGs.
  • Solid Oracle 19c database, SQL tuning, and PL/SQL concepts.
  • Experience moving large data volumes across enterprise systems.
  • Familiarity with RunMyJob, Autosys, and similar schedulers.

Responsibilities

  • Develop, deploy, and maintain Python-based automation scripts to orchestrate jobs across Oracle 19c on-prem systems.
  • Design Airflow DAGs to manage complex ETL workflows and interdependencies.
  • Migrate Perl/PLSQL scheduling logic to modular, observable Airflow DAGs.
  • Build custom Airflow operators/sensors for Oracle, REST APIs, and file drops (SFTP/FTP).
  • Implement robust error handling, alerting, and retry mechanisms.
  • Collaborate with DBAs and application teams to map dependencies and data lineage.
  • Establish job execution logs, audit trails, and SLA dashboards.
  • Participate in code reviews and onboarding new jobs into the orchestrator.

Skills

Python development
Apache Airflow
REST API integration
Oracle 19c
Data orchestration
ETL pipelines
Debugging & troubleshooting
Job schedulers knowledge
Git/Bitbucket

Tools

Git/Bitbucket
Jenkins/CI-CD

Job description

Artifintech seeks an experienced Python Developer to lead automation of complex data workflows on Oracle 19c on-prem. You will design and implement Airflow DAGs to replace legacy Perl/PLSQL scheduling and ensure traceability and data quality.

You will build custom Airflow operators for Oracle, REST APIs, and file transfers, while driving observability, alerts, and recoverability across the pipeline.

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