Data Engineer

Responsibilities

• Design, build, optimize, launch and support new and existing data models and ETL processes in production
• Interface with engineers, product managers and product analysts to understand data needs.
• Manage and verify data accuracy for Hadoop cluster.
• Responsible for support of Hadoop cluster environment which includes Hive, Spark, Hbase, Presto, etc.

Minimum Qualifications

• BS degree or equivalent experience in Computer Science or related field
• 2+ years experience in custom ETL design, implementation and maintenance on Hadoop clusters
• 2+ years on hand-on development coding
• Understanding of Hadoop ecosystem such as HDFS, YARN, MapReduce, Zookeeper, Kafka, HBase, Spark and Hive
• Strong SQL skills, especially in the area of data aggregation
• Good understanding of distributed system, basic mathematics such as statistics and probability
• Comfortable with Git version control

Preferred Qualifications                                

• Experience building real-world data pipelines
• Automation skills such as Airflow, Python and Bash code
• Experience in the following is a plus: Druid, GeoMesa, or GeoWave
• Experience with A/B testing environment
• Experience with analytics tools like R, Matlab
• Strong Java or Scala skills