Python - Senior Engineer @ Iris Software

• Design, develop, and maintain Python-based data processing pipelines for on-prem and file-based systems.
• Work with large structured and unstructured datasets for data ingestion, transformation, and validation.
• Implement and optimize ETL/ELT processes, ensuring data quality, consistency, and performance.
• Collaborate with cross-functional teams to design end-to-end data solutions, including integration with cloud and on-premise environments.
• Leverage AWS services (such as S3, Lambda, Glue, Step Functions, or EC2) for data processing and automation.
• Participate in solution design discussions and contribute to architectural decisions.
• Monitor, troubleshoot, and improve existing data workflows for efficiency and scalability.
• Ensure compliance with data governance, security, and performance standards.

Required Skills & Qualifications

• Bachelors degree in Computer Science, Information Technology, or related field.
• 5+ years of hands-on experience with Python for data processing and automation.
• Proven experience with on-premise data workflows and file-based data processing (CSV, JSON, XML, etc.).
• Strong understanding of ETL/ELT design principles and data integration tools.
• Basic to intermediate knowledge of AWS cloud data processing services (e.g., S3, Glue, Lambda, Redshift, or EMR).
• Experience in solution design and data architecture planning.
• Familiarity with SQL and relational databases (MySQL, PostgreSQL, etc.).
• Excellent problem-solving, debugging, and analytical skills.

Good to Have

• Experience with workflow orchestration tools (e.g., Airflow, Prefect, Step Functions).
• Exposure to DevOps practices, CI/CD pipelines, or infrastructure automation.
• Understanding of data security and compliance best practices.