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Posted 122 months ago

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DATA ENGINEER

New York, NY, United StatesRemoteFull-time

AI Summary

Designs and develops high-throughput, low-latency data processing pipelines to ingest and serve data across distributed stores; analyzes large datasets to tune system performance and experiments with Hadoop ecosystem tools.

About this role

DATA ENGINEER

Major Corporation

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.

Skills

AerospikeHadoopHiveJavaKafkaMySQLPIGPythonRedisScalaScaldingSparkVertica

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