Application Programmer

• Senior developer that will be responsible for building an Analytics platform for the CFO Group within Global Markets Business on the Hadoop infrastructure.

• Responsible for creating a Finance Data Lake on HDFS
• Responsible for developing data transfer tools to replicate data from no-sql datastore to the DataLake
• Responsible for creating ETL jobs using PySpark
• Responsible for building REST web services and APIs that can be used by internal Quantitative team
• Participating fully in the development process through the entire software lifecycle.

• Minimum 6-10 years of overall technology experience is required.
• Minimum 6-10 years of designing and developing in an object-oriented environment with any OO language is required. (i.e. Java, C++, C#, etc.)
• 3-5 years Python experience.
• 3-5 years of 'Big Data' experience with expertise on HDFS, Impala, PySpark handling Petabytes of data.
• 6-10 years designing and tuning SQL database tables/queries is required.
• Experience with grid computing and high data volume a plus.
• Experience with object-oriented database a plus.X`

• Role Overview:
  
  

  Senior developer that will be responsible for building an Analytics platform for the CFO Group within Global Markets Business on the Hadoop infrastructure.

  
  

  Role Specific Responsibilities:

• Responsible for creating a Finance Data Lake on HDFS
• Responsible for developing data transfer tools to replicate data from no-sql datastore to the DataLake
• Responsible for creating ETL jobs using PySpark
• Responsible for building REST web services and APIs that can be used by internal Quantitative team
• Participating fully in the development process through the entire software lifecycle.
• Participating fully in Agile software development process
• GRANITE-VALUATION CONTROL ANALYTICS PLATFORM
• Minimum 6-10 years of overall technology experience is required.
• Minimum 6-10 years of designing and developing in an object-oriented environment with any OO language is required. (i.e. Java, C++, C#, etc.)
• 3-5 years Python experience.
• 3-5 years of 'Big Data' experience with expertise on HDFS, Impala, PySpark handling Petabytes of data.
• 6-10 years designing and tuning SQL database tables/queries is required.
• Experience with grid computing and high data volume a plus.
• Experience with object-oriented database a plus.
• Experience doing test-driven development, functional testing and continuous integration is desirable.
• Strong written and verbal communications
• Experience with financial instruments and Price Verification processes is desirable.
• Prior client Quartz experience
• Demonstrable knowledge of problem domain in which they have been working.
• Quartz, IPV, Valuation, Python, PySpark, HDFS, Impala, Peta bytes of Data

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.