ThirdEye Data

Benefits:

• Competitive salary and benefits package.

• Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications.

• Opportunity to work with cutting-edge technologies.

• Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards.

• Annual health check-ups.

Education Requirements:

• Bachelor’s degree in computer science, Statistics, Mathematics, or related field.

Experience Requirements:

• Minimum of 5 years of proven experience in delivering Data Science solutions in a professional environment.

Responsibilities:

• Responsible for cleansing, filtering, and refactoring complex data from different sources, further analyzing, and investigating it to identify how they can be used to generate a model with high accuracy.

• Experience is model development and in performing model validation to support the integrity and improve the accuracy of the model

Benefits:

• Competitive salary and benefits package.

• Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications.

• Opportunity to work with cutting-edge technologies.

• Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards.

• Annual health check-ups.

Responsibilities:

• Work on new features development, RTB tickets.

• Create a design document for any enhancement or feature request in platform.

• Estimate the effort required for building / integrating capabilities, get approval from PM/EM/Architect.

• Create epics / stories for each of work items and detailed plan of action.

• Ensure code coverage, FMEA and end-to-end testing is planned for each feature/enhancement made.

Benefits:

• Competitive salary and benefits package.

• Culture focused on talent development, with quarterly promotion cycles and company-sponsored higher education and certifications.

• Opportunity to work with cutting-edge technologies.

• Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards.

• Annual health check-ups.

Experience Requirements:

• 8+ years of hands-on experience with PySpark and strong knowledge in Python programming language.

Responsibilities:

• Strong proficiency in developing data solutions using Python (OOP).

• Solid understanding of distributed computing concepts and hands-on experience with PySpark.

• Familiarity with PySpark performance tuning will be an added advantage.

• Familiarity with data warehousing solutions and best practices.

• Proficient in SQL with the ability to optimize queries for performance & proficient in database management and data modelling.