Tasks:
- * Automate manual processes
- * Build data extraction, transformation, and loading infrastructure
- * Design and implement Data as a Service (DaaS)
- * Develop data platforms for internet businesses
- * Develop ETL tools for diverse data sources
- * Optimize data delivery
- * Redesign infrastructure for scalability
- * Support analytics and data science teams
Perks/Benefits:
Skills/Tech stack required:
[Algorithms] [C++] [Data as a Service] [Data as a Service (DaaS)] [Data platform] [Data Platform Development] [Data Structures] [ETL] [Go] [Java] [Linux Shell] [Performance optimization] [Platform Development] [Python] [Scalability] [System Performance] [System Performance Optimization]
Educational requirements:
[Degree in Computer Science] [Degree in Information Technology] [Degree in Software Engineering]
Role(s):
[Big Data Engineer] [Data Engineer] [Engineer]