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- Lead the automation and orchestration of complex data workflows using Python.
- Design, develop, and maintain robust, fault-tolerant, and auditable data pipelines across on-prem Oracle systems.
- Modernize and migrate legacy scheduling logic (Perl/PLSQL/RunMyJobs) to Python-based Apache Airflow DAGs.
- Integrate with job schedulers (RunMyJobs, Autosys, etc.) and create modular, observable workflows.
- Build and deploy custom Airflow operators/sensors for Oracle, REST API integrations, file transfers (SFTP/FTP), and external triggers.
- Ensure traceability, data quality, and recoverability in all automated processes.
- Implement strong error handling, alerting, retry, and monitoring mechanisms for production jobs.
- Collaborate with DBAs and application teams to analyze job dependencies, critical paths, and data lineage.
- Establish and maintain job execution logs, audit trails, and SLA monitoring dashboards.
- Participate in code reviews, documentation, and onboarding of new jobs to the orchestration platform.
- Apply knowledge of Oracle 19c, SQL/PLSQL, and REST API integration to support enterprise data movement.
- Utilize CI/CD tools (Git/Bitbucket, Jenkins) for version control and automated deployment.
- Contribute to the modernization of data workflows, with attention to data governance and operational risk, especially in financial systems.
Key Skills
Ranked by relevance
oracle
jenkins
python
apache
cicd
sla
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- Posted
- Aug 01, 2025
- Type
- Full-time
- Level
- Entry
- Location
- Boston
- Company
- Largeton Group
Industries
Information Services
Categories
Engineering
Information Technology
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