Principle BigData Architect

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Proficient understanding of distributed & streaming computing principles Solid experience is designing and implementing Cloud-based Big data solutions Good understanding on Microservices and Event-Driven architecture Experience with building stream-processing systems Additional knowledge on Azure, AKS / AWS native services Programming knowledge on Scala, Java, Python Experience with Spark, , Spark structured streaming, Flink, Beam Experience with integration of data from multiple data sources Experience with NoSQL databases, such as HBase, Cassandra, MongoDB, Graph DB Knowledge of various ETL techniques and frameworks, such as Flume Knowledge on Akka is appreciated Experience on Kubernetes, Docker preferable Knowledge on Drools, Scala Rules is not mandatory but appreciated Experience with various messaging systems such as Kafka or RabbitMQ Experience with Big Data ML toolkits, such as R, Mahout, SparkML, or H2O Good understanding of Lambda Architecture, along with its advantages and drawbacks Experience with Cloudera/Hortonworks.

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Posted

19 May 2020

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