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Job Summary


Job Type
Permanent

Seniority

Years of Experience
Information not provided

Tech Stacks
ETL
MapReduce
Pig
Hive
Spark
C++
C
Hadoop
Go
Python
Java

Job Description


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  1. Craft optimal data processing architecture and systems for new data and ETL pipelines.
  2. Design, build, and maintain efficient and reliable data pipelines to move and transform data (both large and small amounts).
  3. Drive internal process improvements and automate manual processes for data quality and SLA management.
  4. Work with different cross-functional partners including CDN, Video Understanding, Video Transcoding, Live Streaming, and Real-Time Communication.

Qualifications:
  1. Bachelor's degree in Computer Science or a related technical background involving software/system engineering, or equivalent working experience.
  2. Good programming experience with at least one of the following languages: C, C++, Java, Python, or Go.
  3. Experience in custom ETL/data pipeline design, implementation, and maintenance.
  4. Experience with data processing software (Hadoop, Spark, Pig, Hive) and algorithms (MapReduce, Flume).

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