Data Engineer

Geico   •  

Chevy Chase, MD

Industry: Accounting, Finance & Insurance


5 - 7 years

Posted 177 days ago

This job is no longer available.

Job Duties & Responsibilities:  

As a Data Engineer, you will be responsible for working with data scientists and data architects to create efficient transformations on top of Spark/Hadoop and will have the opportunity to learn new bleeding edge technologies. 

This position requires a strong foundation of technical skills, ability to learn new technologies, good communication skills, attention to details, and a commitment to continuous learning.

Ready to make an impact? If so, do you meet these qualifications?

Candidate Qualifications:

  • 3 years of hands-on experience in Hadoop Eco System (HDFS AND YARN AND MapReduce AND Oozie AND Hive) 
  • 1 year of hands-on experience in Spark core AND Spark SQL 
  • 5 years of hands-on programming experience in either core Java OR Spark 
  • 3 years of hands-on experience in Data Warehousing AND Data Marts AND Data/Dimensional Modeling AND ETL 
  • 1 years of hands-on experience in HBase OR Cassandra OR any other NoSQL DB 
  • Understanding of Distributed computing design patterns AND algorithms AND data structures AND security protocols 

Desired Qualifications:

  • Understanding of Kafka AND Spark Streaming 
  • Experience in any one of the ETL tools such as Talend, Kettle, Informatica OR Ab Initio 
  • Exposure to Hadoop OR NoSQL performance optimization and benchmarking using tools such as HiBench OR YCSB 
  • Experience in performance monitoring tools such as Ganglia OR Nagios OR Splunk OR DynaTrace 
  • Experience on continuous build and test process using tools such as Maven AND Jenkins 
  • Certification in HortonWorks OR Cloudera preferred .