Carrer

 

Position:  Big Data/Hadoop Engineer

Duration: Long term Contract

Location: Washington, DC

·         Bachelor's degree in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field.

·         5+ years experience in data technologies with 2+ years experience with Big Data platforms and analytics.

·         Deep expertise in at least one RDBMS platform (e.g., Microsoft SQL Server, MySQL, Oracle, PostgreSQL, etc.).  MySQL or PostgreSQL preferred.

·         Knowledge/Deployment experience of traditional database architecture and its limitations with respect to the collection/ingestion of structured/unstructured data.

·         Data modeling experience with conducting performance tuning, backup/recovery, and scalability/capacity planning.

·         Experience planning architectures and infrastructures in support of data management processes and procedures.

·         Experience designing, developing, and implementing database instances for the development and production environments.

·         Experience managing servers in large-scale, geographically diverse environments.

·         Experience with hosted cloud storage services such as AWS or Google Cloud Platform.

·         Understanding and practical knowledge of best practices with data structures, storage and retrieval of massive datasets.

·         A strong and independent view of the most cost efficient and effective way of deploying a Big Data infrastructure installation (cloud, appliance, software) - vendor costs plus running costs, including an understanding of all of the additional tools/software required to run the analytics (e.g. Tableau, R, Python, Spark, etc).

·         Knowledge of Hadoop (Hbase, Impala, MongoDB, PIG, Hive, Ambari, Flume, HCatalog, Mahout, Oozie, Sqoop, Whirr, Zookeeper etc) is a plus.Proven experience with ETL (extraction from source systems/ traditional data warehouses, loading in to Hadoop environment) is a plus.