Posted 122 months ago
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