Data Automation Developer

Envision Digital; Kuala Lumpur; On-site; MYR 50,000 - 70,000; Full time

Job summary

A leading technology firm in Kuala Lumpur is looking for a Data Reconciliation Programmer to automate the extraction and reconciliation of vendor data. The role involves developing Python scripts that normalize and validate data from various back-office systems. Candidates should possess a degree in IT or Computer Science, with strong skills in Python programming and data handling. This position offers an opportunity to contribute to finance reporting and enhance data reliability within the company.

Qualifications

• Diploma or Bachelor’s degree in IT, Computer Science, or related fields.
• Strong academic foundation in Python programming.
• Logical and structured approach to data handling.

Responsibilities

• Develop Python scripts to extract data from vendor back-office systems.
• Automate data collection and parsing for reconciliation purposes.
• Implement validation checks to identify missing or mismatched data.
• Support finance reporting by providing structured and accurate datasets.
• Maintain documentation and version control for scripts.
• Troubleshoot and enhance script stability and performance.
• Collaborate closely with Finance Data Analyst on reconciliation frameworks.

Skills

Python programming

Data handling

Logical thinking

Education

Diploma or Bachelor’s degree in IT, Computer Science, or related fields

Tools

APIs

SQL

Web scraping

Job description

Overview

We are seeking a Data Reconciliation Programmer to support automated extraction and reconciliation of vendor data. This role focuses on building reliable Python scripts to collect, normalize, and validate data from multiple vendor back-office systems.

Key Responsibilities

• Develop Python scripts to extract data from vendor back-office systems.
• Automate data collection, parsing, and normalization for reconciliation purposes.
• Implement validation checks to identify missing, duplicated, or mismatched data.
• Support finance reporting by providing structured and accurate datasets.
• Maintain documentation and version control for scripts.
• Troubleshoot and enhance script stability and performance.
• Collaborate closely with Finance Data Analyst on reconciliation frameworks.

Requirements

• Diploma or Bachelor’s degree in IT, Computer Science, or related fields.
• Strong academic foundation in Python programming.
• Logical and structured approach to data handling.
• Ability to follow defined frameworks and documentation.

Preferred Qualifications

• Experience with APIs, web scraping, or ETL concepts.
• Familiarity with SQL or structured data formats (CSV, JSON).
• Interest in finance data and reconciliation logic.

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