getSummary
Written in English from the original postingThe role involves designing and developing high-throughput, low-latency data processing pipelines across distributed data stores. It also includes tuning Hadoop-based systems and working with tools such as Hive, Pig, Scalding, Spark, and Kafka.
Job description
Company Description
Major Corporation
Job Description
Responsibilities:
- Design and develop high-throughput, low-latency data processing pipelines to quickly ingest and make data available on the platform across various distributed data stores
- Analyze large datasets to identify opportunities to tune and improve the system
- Experiment with various Hadoop frameworks like Hive, Pig and Scalding to identify the optimal approach for extracting valuable insights from massive datasets
Tool We Used:
- Scala
- Hadoop (Hive, Pig, Scalding, Spark)
- Kafka
- MySQL, Redis, Vertica, Aerospike
Qualifications
Requirements:
- Bachelors or Masters in Computer Science or related field
- 3+ years of experience ingesting, processing, storing and querying large datasets
- Professional Hadoop ecosystem experience, including storage optimization and job performance tuning
- Expertise in Java, Python or similar language(s). Functional programming experience is a plus
- Passion for code correctness and intuition about which values in data are to be expected in a business context
Additional Information
All your information will be kept confidential according to EEO guidelines.