About the role:

• You will be working as part of the data Engineering team on the automated data processing pipelines. Majority of the tasks will be development and maintenance of various ETL pipelines. The purpose of the pipelines is to make the data available for various internal and external consumers. This includes receiving data from our partners, validating it and making it available for the customer scoring process. It also includes all the internal and external reporting, revenue assurance and data archiving. All these processes are essential for the company day to day operations at scale.

Key responsibilities:

• Development and maintenance of data processing pipelines
• Participate in the design, implementation, and release of data science initiatives
• Deliver high quality, testable, secure, readable, and documented software
• Collaborate effectively in English, with local and remote peers across different teams in the organization
• Assist in the evaluation of new technologies and initiatives

Minimal Qualifications and Experience:

• Working proficiency with Python or any other programming or scripting language
• Working proficiency with SQL or R
• Advanced working proficiency with any RDBMS, including deployment and performance optimizations.
• Experience with GIT, automated testing and CI/CD
• Familiarity with the Linux environment as a user and developer (Debian is a plus).
• Minimum 2+ years working experience

Ideal Qualifications:

• Deep understanding of PostgreSQL database system
• Experience with software development best practices.
• Experience with system monitoring and issue debugging.
• Experience with system scaling and addressing continuous integration
• Knowledge of database administration
• Working proficiency in Java or C/C++ is a plus
• Willingness to learn new technologies
• Modelling and data science experience is a plus