What You'll Do :
You will work directly with our Client Service Teams globally and be a part of analytics focused engagements on data engineering and big data topics. Your role will be that of a subject matter expert on data engineering and will involve working closely with our clients and to curate, transform and construct features which feed directly into our modelling approach.You will also be responsible for -
-Working with our clients to model their data landscape, obtain data extracts and define secure data exchange approaches
-Acquiring, ingesting, and processing data from multiple sources and systems into Big Data platforms
-Collaborating with our data scientists to map data fields to hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models
You'll have the opportunity to gain new skills and build on the strengths you bring to the firm. Our analysts receive exceptional training as well as frequent coaching and mentoring from colleagues on their teams.
-University degree in Computer Science, Engineering, Applied Mathematics or related fields with an excellent academic record; advanced degree preferred
-4+ years of relevant work experience working on at least two of the following technologies Python, Scala, SQL, Java
-Meaningful experience in multiple database technologies such as Distributed Processing (Spark, Hadoop, EMR), traditional RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL), MPP (AWS Redshift, Teradata), NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan)
-Ability to work across structured, semi-structured, and unstructured data, extracting information and identifying linkages across disparate data sets
-Commercial client-facing project experience is helpful, including working in close-knit teams.
-Confirmed ability in clearly communicating complex solutions