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Big Data Architect @ Intellisoft

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 Big Data Architect

Desired Candidate Profile


Job Description

We are looking for a Big Data Architects 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. They 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/ELT process and orchestration of data flows
Monitoring performance and advising any necessary infrastructure changes
Defining data retention policies
Mentoring junior engineers and working with other architects to deliver best in class solutions
Strong understanding of open source technologies and databases (SQL & NoSQL)
Skills and Qualifications
Proficient understanding of distributed computing principles
Management of Hortonworks (or some Hadoop) cluster, with all included services
Ability to solve any ongoing issues with operating the cluster
Proficiency with Hadoop v2, HDFS
Experience with building stream-processing systems, using solutions such as Storm or Spark-Streaming
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
Experience with HDF and NiFi
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
Ability to architect end-to-end data products and make the right choice of technology stack based on the use case

Contact Details:

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Keyskills:   Hadoop Hive Flume Pig HBase Impala Hdfs Cloudera Spark NoSQL Big Data

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