Position Details
About this role
This role involves developing and maintaining scalable data systems and pipelines, supporting machine learning and analytics initiatives across the entertainment data platform.
Key Responsibilities
- Build scalable data pipelines
- Support data systems
- Collaborate with ML teams
- Optimize data processing
- Maintain data quality
Technical Overview
The technical environment includes Python, Java, Scala, Spark, Trino, Iceberg, and graph technologies. The role emphasizes building reliable data pipelines and supporting ML integration.
Ideal Candidate
The ideal candidate is a mid-level data engineer with at least 4 years of experience in building scalable data pipelines and systems using Python, Java, Scala, and Spark. They should have strong data modeling and processing skills, with an interest in graph technologies and ML integration.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with Spark or data pipelines, No proficiency in Python or Java, Inability to work independently on data systems
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