DATA ENGINEER

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

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

All your information will be kept confidential according to EEO guidelines.