Senior Python Developer

2 days ago

Kuala Lumpur, Kuala Lumpur, Malaysia PayNet (Payments Network Malaysia) Full time 80,000 - 120,000 per year

Summary of the role:

We are seeking a talented Python Developer who is passionate about data to join our team as a Data Engineer. In this role, you will play a crucial part in developing and maintaining data pipelines, ensuring the reliability, efficiency, and scalability of our data systems. You will collaborate closely with cross-functional teams including Data Scientists, Analysts, and Software Engineers to drive data initiatives and support our business objectives.

Key Responsibilities:


• Design, develop, and maintain robust data pipelines and ETL processes using Python and related technologies.


• Collaborate with stakeholders to understand data requirements and translate them into technical solutions.


• Optimize and tune data workflows for performance, scalability, and reliability.


• Implement data quality checks and ensure data integrity throughout the data lifecycle.


• Work with cloud-based technologies such as AWS, GCP, or Azure to deploy and manage data pipelines.


• Develop and maintain documentation for data processes, systems, and best practices.


• Stay up to date with emerging technologies and industry trends related to data engineering

Key Requirements:


• Bachelor's degree in computer science, Engineering, or a related field.


• Proven experience as a Python Developer with a strong understanding of software development principles.


• Hands-on experience with building and optimizing data pipelines using Python and related libraries/frameworks (e.g., Pandas, NumPy, Airflow).


• Experience in python dependency management e.g. libraries, packages


• Familiarity with SQL and database technologies (e.g., PostgreSQL, MySQL, or similar).


• Experience working with cloud platforms such as AWS, GCP, or Azure.


• Strong problem-solving skills and attention to detail.


• Excellent communication and collaboration abilities.


• Experience with Big Data technologies (e.g., Hadoop, Spark) is a plus

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