Engineer- Data - III

New York, NY 10007

Posted: 05/06/2019 Industry: IT/Software Development Job Number: 48799

JOB TITLE:

Data Solutions Architect

JOB DUTIES:

The data architect for the Customer Experience (CX) Effectiveness team will be responsible for designing and creating an infrastructure and an automated, repeatable process that combines relational databases and produces customer journey data sets for visualizations, modeling and other analytics. The system/solution must be able to adapt to changing data sources and/or business needs. The data architect must be able to understand the eventual output in order to troubleshoot and provide recommendations throughout the project.

MUST HAVE SKILLS:
  • 7+ years of experience with ETL and related tools including Teradata SQL
  • Proven ability to:
  • learn new businesses/industries and their data
  • design and build creative data solutions and automated systems
  • articulate project visions and progress
  • mine new data sources
  • organize data with time as a key element (sequence of events through time)
  • solve complex data linking and cleansing problems
  • collaborate with analysts, experience managers, IT support and other functions
  • meet project milestones with minimal supervision
  • Extremely organized documenting that is easily interpreted and understood
  • Highly professional with high ethics and standards

DESIRED SKILLS:
  • Advanced degree
  • Hadoop MapReduce, Apache Spark
  • Python, R, SAS programming/scripting/coding

EDUCATION/CERTIFICATIONS:
  • Math / Computer Science / Engineering or related degree required

REQUIRED SHIFT:
  • Standard 9-5, no weekend work, not needed to be " on call" at any time

Kaztronix is an equal opportunity employer and does not discriminate on the basis of race, color, national origin, sex, age, religion, disability, veteran status or any other consideration made unlawful by federal, state or local laws.In addition, all human resource actions in such areas as compensation, employee benefits, transfers, layoffs, training and development are to be administered objectively, without regard to race, color, religion, age, sex, national origin, disability, veteran status or any other consideration made unlawful by federal, state or local laws.
ETL, SQL, Automation, Hadoop, MapReduce, Apache, Spark, Python, R, SAS

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