distributed systems, using solutions such as Spark, Big Data Technologies would be preferred but not mandatory. Knowledge of Big Data querying tools (Cloudera stack or similar) e.g. Hive or Impala would be preferred but not mandatory. Experience working on parallel development tracks at the same time is required Experience in leading smaller development teams is necessary Adhere to the More ❯
Tools, Monitoring utilities, Disaster recovery process/tools Experience in troubleshooting and problem resolution Experience in System Integration Knowledge of the following: Hadoop, Flume, Sqoop, Map Reduce, Hive/Impala, Hbase, Kafka, Spark Streaming Experience of ETL tools incorporating Big Data Shell Scripting, Python Beneficial Skills: Understanding of: LAN, WAN, VPN and SD Networks Hardware and Cabling set-up More ❯
in Hadoop, Spark, and related technologies YOUR PROFILE Expertise on Hadoop, Spark & Scala Experience in developing complex data transformation workflows(ETL) using Big Data Technologies Good expertise on HIVE, Impala, HBase Hands on experience to finetune Spark jobs Experience with Java and distributed computing ABOUT CAPGEMINI Capgemini is a global business and technology transformation partner, helping organizations to accelerate More ❯
RDBMS such as DB2, Oracle. • Exposure and hands on in Microservices, Distributed Cache (REDIS, Couchbase) and Cloud technologies • Good to have knowledge and experience in Big data - HBASE and Impala concepts. • Experienced with XML parsing (including schemas), JSON and third-party libraries like Gauva, lombok. • Well versed with design standards & frameworks; experience in working on multiple technologies. • Quick learner More ❯
