Data Engineer, Investment Management Solution

Job description

About the vacancy

Our client is one of the world’s top 10 investment companies with headquarters in Great Britain. They are building a data market that will aggregate and process data from multiple data feeds and systems like stock exchanges, news feeds, stock exchange brokers, internal quantitative systems and others. The project involves around 30 various specialists (30 Big Data engineers, 10 data and business analysts, InterSystems cache developers, Java developers and Quantitative analysts/developers, etc.).

As a big data engineer, you will be developing a platform that models and predicts trends in the financial markets.

Must have

    Experience working with Apache NiFi or Hadoop (HDFS, MapReduce, HBase)

    Hands-on experience with Shell scripting

    Strong experience with SQL

    Spoken English

Would be a plus

    Experience working in an agile environment and understanding of various phases of the software development life cycle

    Hands-on experience with Spark 2.0 or greater (+ Scala)

    Experience working with Hive And Impala

    Experience with Data modelling

    Skills working with Oozie

    Skills working with Airflow

    Skills working with Datasets and Data frames

    Skills using source code and version control systems like SVN, Git, etc.

    Experience on CDP (Cloudera Data Platform)

    Knowledge of Hadoop architecture components

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