Python Developer (Makati onsite)

Qualifications
Education & Experience:

Bachelor’s degree in Computer Science, Information Technology, Finance, or a related field.

minimum of 1 year 6 months to 3+ years of experience in Python development, preferably in financial applications or reconciliation systems. (Non Negotiable) salary may differ depends on the experience.

Experience in automating financial transaction processes and data reconciliation. (Non Negotiable)

Technical Skills:

Proficiency in Python and related libraries/frameworks (e.g., Pandas, NumPy, SQLAlchemy) at least 3 years of experience. (Non Negotiable)

Strong experience with data validation, error-checking algorithms, and data integrity controls. (Non Negotiable)

Experience with SQL and relational databases (e.g., MySQL, PostgreSQL, SQL Server) for integrating data sources. (Non Negotiable)

Experience in report generation and data visualization using tools like Matplotlib, Seaborn, or Power BI. (Non Negotiable)

Knowledge of API integrations and handling financial data from multiple sources is an advantage.

Understanding of ETL (Extract, Transform, Load) processes for financial reconciliation is a plus.

Soft Skills:

Strong analytical and problem-solving skills to identify and resolve data discrepancies.

Ability to collaborate with finance teams and translate business needs into technical solutions.

Detail-oriented mindset with a focus on accuracy and reliability in financial data processing.

Good documentation skills to maintain workflows, system configurations, and reconciliation processes.

Job Description
• Design and develop Python applications to automate reconciliation processes for financial transactions.

• Collaborate with finance teams to understand reconciliation requirements and translate them into technical specifications.

• Implement data validation and error-checking algorithms to ensure data integrity.

• Create and maintain reports that highlight discrepancies and provide actionable insights.

• Integrate various data sources and databases to facilitate reconciliations.

• Troubleshoot and resolve issues related to data discrepancies and reconciliation workflows.

• Conduct testing and validation of reconciliation systems to ensure accuracy and reliability.

• Document processes, workflows, and system configurations for future reference.