Python Migration Engineer with Perl
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Job description
We welcome candidates with all U.S. work authorization types, provided they are legally authorized to work in the United States. Key Responsibilities Lead the migration of large-scale legacy Perl-based applications to modern, scalable Python solutions. Convert Perl scripts, file transfer automation (FTP/SFTP), ETL processes, and batch jobs into reusable, production-ready Python applications. Design and develop Python frameworks for file ingestion, data processing, and enterprise automation. Build, maintain, and optimize Apache Airflow DAGs for workflow orchestration and scheduling. Develop reusable parsers, loaders, and data processing components supporting multiple file formats and data sources. Integrate Oracle databases and implement robust data validation, reconciliation, and data quality processes. Implement CI/CD pipelines, automated testing, logging, monitoring, and production support best practices. Support parallel-run validation, User Acceptance Testing (UAT), production cutover, and legacy Perl application decommissioning. Create technical documentation, operational runbooks, and knowledge transfer materials for support teams. Required Skills, As a Data Engineer, you will be instrumental in designing and optimizing robust ETL pipelines and data workflows. This expert-level, remote position is ideal for professionals who …
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Requirements
8+ years of software engineering experience with strong expertise in Python and working knowledge of Perl. Hands-on experience developing Apache Airflow DAGs and workflow orchestration solutions. Strong experience with FTP/SFTP automation, file-based processing, ETL pipelines, and enterprise data migration projects. Extensive experience with Oracle Database, SQL development, and performance optimization. Experience with Git, CI/CD pipelines, unit testing, and configuration-driven development using YAML. Knowledge of application logging, monitoring, alerting, and production support processes. Strong analytical, debugging, troubleshooting, and problem-solving skills. Excellent communication and collaboration skills with experience working in enterprise environments. Preferred Experience Experience modernizing legacy enterprise applications and leading migration initiatives. Familiarity with cloud platforms, preferably Oracle Cloud Services. Experience supporting large-scale production deployments and data migration programs. Knowledge of enterprise data engineering, batch processing, and automation frameworks. Experience working in Agile/Scrum environments and collaborating with cross-functional teams. Financial Services or Capital Markets domain experience is a plus. We are committed to fostering an inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by applicable law.
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