Job Description
Job Description
1.8&plus years in Hadoop Platform
2.3 to 5 years of implementing Big Data ingestion solutions, including use of Flume, Kafka, Spark
3.Proficient understanding of Underlying infrastructure for Big Data Solutions (Clustered/Distributed Computing, Storage, Data Center Networking)
4.Experience in deployment of a large distributed Big Data Application
5.Management of Hadoop cluster, with all included services Ability to solve any ongoing issues with operating the cluster
6.Experience designing, building and operating cloud services in IT, Systems Integrator or Service Provider.
7.Proficiency with Hadoop, MapReduce using Python, HDFS
8.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
9.Experience with Spark
10.Experience with integration of data from multiple data sources
11.Experience with NoSQL databases, such as HBase, Cassandra, MongoDB
12.Knowledge of various ETL techniques and frameworks, such as Flume
13.Experience with various messaging systems, such as Kafka.
14.Experience with Big Data Client toolkits, such as Mahout, SparkML, or H2O.
15. Good understanding of Lambda Architecture
Job Description
1.8&plus years in Hadoop Platform
2.3 to 5 years of implementing Big Data ingestion solutions, including use of Flume, Kafka, Spark
3.Proficient understanding of Underlying infrastructure for Big Data Solutions (Clustered/Distributed Computing, Storage, Data Center Networking)
4.Experience in deployment of a large distributed Big Data Application
5.Management of Hadoop cluster, with all included services Ability to solve any ongoing issues with operating the cluster
6.Experience designing, building and operating cloud services in IT, Systems Integrator or Service Provider.
7.Proficiency with Hadoop, MapReduce using Python, HDFS
8.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
9.Experience with Spark
10.Experience with integration of data from multiple data sources
11.Experience with NoSQL databases, such as HBase, Cassandra, MongoDB
12.Knowledge of various ETL techniques and frameworks, such as Flume
13.Experience with various messaging systems, such as Kafka.
14.Experience with Big Data Client toolkits, such as Mahout, SparkML, or H2O.
15. Good understanding of Lambda Architecture
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eTeam Workforce Pte Ltd
About the company
eTeam Workforce Pte Ltd jobs
Philippines
Position Analytics big data architect recruited by the company eTeam Workforce Pte Ltd at Taguig, Joboko automatically collects the salary of , finds more jobs on Analytics Big Data Architect or eTeam Workforce Pte Ltd company in the links above
About the company
eTeam Workforce Pte Ltd jobs
Philippines