Big Data Engineer

Job Responsibilities

Selecting and integrating any Big Data tools and frameworks required to provide requested capabilities
Defining data retention policies
Implementation including loading from disparate data sets, preprocessing using Hive and Pig.
Scope and deliver various Big Data solutions
Ability to design solutions independently based on high-level architecture.
Manage the technical communication between the survey vendor and internal systems
Maintain the production systems (Kafka, Hadoop, Cassandra, Elasticsearch)
Collaborate with other development and research teams
Building a cloud based platform that allows easy development of new applications
Monitoring performance and advising any necessary infrastructure changes

Core Required Skills/Experience:

University degree in Computer Science, Engineering or equivalent preferred
2+ years of experience as a Big Data Engineer or similar role
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 Machine Learning toolkits, such as Mahout, SparkML, or H2O
Good understanding of Lambda Architecture, along with its advantages and drawbacks
Experience with Cloudera/MapR/Hortonworks

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