CouchDB Cassandra Spark Engineer needs 5+ years experience CouchDB CouchDB CouchDB Cassandra Spark Engineer requires:
• Expertise building data and processing pipelines
• Familiarity with Spark engine syntax modules, including Spark SQL
• Familiarity with APIs including RDD, DataFrame, Dataset, and PySpark
• Fluency in programming languages including Python, Java, and Scala
• Knowledge of Spark internals and streaming technology (Kafka, KSQL, etc.)
• Expertise in SQL and big data processing (Hadoop ecosystems, Hive, Impala, Druid, etc.)
• Familiarity with machine learning algorithms and foundations such as PyTorch
• Experience with an ETL tool and expertise in managing the post-loading data
• Expert in one or more distributed file systems, such as HDFS, S3, and Ceph
• Familiarity with visualization tools
• Familiarity with Amazon's AWS for building Apache Spark clusters
CouchDB Cassandra Spark Engineer duties:
• Provide technical, analytical knowledge and resolving technical challenges throughout project delivery.
• Review code, testing case reviews, and ensuring that the code created matches the requirements are all part of the process.
• Work proactively, autonomously, and collaboratively with global teams to solve project requirements and define issues/challenges with sufficient lead time to mitigate project delivery