Duration: 6 months
Location: Bay Area, CA
local candidates only
Job Description:
We are looking for a Big Data Engineer that will work on the collecting, storing, processing, and analyzing of huge sets of data. The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them. You will also be responsible for integrating them with the architecture used across the company.
Responsibilities
Selecting and integrating any Big Data tools and frameworks required to provide requested capabilities
Implementing ETL process
Defining data retention policies
Mining data using hive and other latest tools
Skills and Qualifications:
Proficient understanding of distributed computing principles
Management of Hadoop cluster, with all included services
Proficiency with Hadoop v2, HIVE, Sqoop, Azour and Mahout etc.
Experience with building stream-processing systems, using solutions such as Storm or Spark-Streaming
Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala
Experience with integration of data from multiple data sources
Experience with NoSQL databases, such as HBase, Cassandra, MongoDB
Knowledge of various ETL techniques and frameworks, such as Flume
Experience with Big Data ML toolkits, such as Mahout, SparkML, or H2O
Good understanding of Lambda Architecture, along with its advantages and drawbacks
Experience with Cloudera/MapR/Hortonworks
Good team player and communication skills
Thanks & Regards
Jonna Sreenivas
Ph: 732-623-9820
Email: sjonna@debiansystems.com
13150, Coit Rd, Suite 305, Dallas, TX-75240
LinkedIn: https://in.linkedin.com/in/sjonna
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