JOBSEARCHER

Python Developer

Update: Hands on DBT & Oracle database to be mandatory for this roleNO OPT
Title: Python Developer
Employment Type: Contract
City: Jersey City
State: NJ
Description
Location: NJ
Hybrid: Yes 3 days onsite
Interview Process: 1 video (screening) / 2nd round 2 hour onsite
Start Date: ASAP Must Haves:
Oracle database experience Finance experience is nice to haveETL background/Python Shell ScriptLinux both advanced & fundamental AirflowPython Developer We’re seeking an experienced Python Developer to lead the automation and orchestration of complex data workflows. The ideal candidate will have hands-on experience designing robust, fault-tolerant, and auditable pipelines across on-prem Oracle systems, integrating with job schedulers like RunMyJobs, and modernizing legacy processes using Apache Airflow. You will play a critical role in replacing legacy Perl/PLSQL scheduling logic with modern, Python-based DAG orchestration while ensuring traceability, data quality, and recoverability.
Key Responsibilities:
  • Develop, deploy, and maintain Python-based automation scripts to orchestrate jobs across Oracle 19c on-prem systems.
  • Design and implement Airflow DAGs to manage complex interdependent ETL workflows.
  • Migrate existing job logic from Perl, RunMyJob, and PL/SQL-based scheduling into modular, observable Airflow DAGs.
  • Build custom Airflow operators/sensors for integration with Oracle, REST APIs, file drops (SFTP/FTP), and external triggers.
  • Implement robust error handling, alerting and retry mechanisms across job pipelines.
  • Collaborate with DBAs and application teams to understand job dependencies, critical paths, and data lineage.
  • Establish job execution logs, audit trails, and SLA monitoring dashboards.
  • Participate in code reviews, documentation, and onboarding new jobs into the orchestrator.
Required Skills and Experience:
  • 5+ years of Python development experience, with strong understanding of system/process automation.
  • 2+ years of Apache Airflow building production DAGs.
  • Solid understanding of Oracle 19c database, SQL tuning, and PL/SQL concepts.
  • Experience orchestrating jobs that move large volumes of data across enterprise systems.
  • Familiarity with job schedulers (RunMyJob, Autosys, etc.) and how to replace/abstract them using orchestration tools.
  • Strong debugging skills across logs, databases, and filesystem for failed jobs or partial runs.
  • Experience building REST API integrations, SFTP/file movement logic, and parameter-driven automation.
Bonus / Preferred Experience:
  • Prior experience modernizing legacy data workflows from Perl or PL/SQL stored procs.
  • Hands-on knowledge of Git/Bitbucket, Jenkins, CI/CD pipelines for code-controlled job rollouts.
  • Familiarity with financial data models (e.g., holdings, transactions, NAVs, tax lots).
  • Basic understanding of data governance, audit, and operational risk in financial systems.