to work independently. Preferred Qualifications: Background in investment banking or financial services. Hands-on experience with Hive, Impala, and the Spark ecosystem (e.g., HDFS, Apache Spark, Spark-SQL, UDFs, Sqoop). Proven experience building and optimizing big data pipelines, architectures, and data sets. More ❯
Continuous Integration, Cloud technologies, Virtualisation 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 More ❯
fault-tolerant applications with attention to security, scalability, performance, availability and optimization Requirements 4+ years of hands-on experience in designing, building and supporting Hadoop Applications using Spark, Scala, Sqoop and Hive. Strong knowledge of working with large data sets and high capacity big data processing platform. Strong experience in Unix and Shell scripting. Experience using Source Code and Version More ❯
