Job Description :
Position: Big Data Developer
Duration: Full Time

Location: San Francisco, CA

Visa:H1,OPT,GC-EAD,GC,USC

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

Monitoring performance and advising any necessary infrastructure changes

Defining data retention policies

Skills and Qualifications:

Proficient understanding of distributed computing principles

Management of Hadoop cluster, with all included services

Ability to solve any ongoing issues with operating the cluster

Proficiency with Hadoop v2, MapReduce, HDFS

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 Spark

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 various messaging systems, such as Kafka or RabbitMQ

Experience with Big Data ML toolkits, such as Mahout, SparkML, or H2O {{if you are going to integrate Machine
Learning in your Big Data infrastructure}}

Good understanding of Lambda Architecture, along with its advantages and drawbacks

Experience with Cloudera/MapR/Hortonworks
             

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