Data Wrangler

  • location: Cincinnati, OH
  • type: Contract
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job description

Data Wrangler

job summary:
Data Wrangler Big data

Role Description

Data Wranglers are technical masters: they need to be effective technologists, self-motivated, and able to source and develop data models to fuel the analytics, developed by the analysts and data scientists, which improve business results. Technical mastery and interpersonal /communication skills are therefore a must to thrive in a team. Your job is to onboard complex data or optimize data models and code into scale pipes and jobs that will drive the analytics into insights you. Data and Analytics roles include:

Practitioner of advanced data modeling and optimization of data and analytics solutions at scale. Expert in data management (any sources of data like POS, Consumer profile, ...) , data access (Big Data, traditional Data Marts, ...), advanced in programming (python, Shell scripting, Java, and SQL), advanced data base modeling, familiarity with analytic algorithms and applications (like Machine learning) . Be a leader in data capability building.

 
location: Cincinnati, Ohio
job type: Contract
work hours: 9am to 5pm
education: No Degree Required
 
responsibilities:
Technically Capable: As a Data Wrangler, you will "get your hands dirty", leveraging data types and various data models to enable a range of analytic solutions. You should be adept at leveraging such technologies for managing and manipulating data, scaling data models and solutions to support the analytics for business insights. As a Data Wrangler you will be a part of an award-winning Business Intelligence and IT community that is Global in scope, and operates across all core disciplines.

 
qualifications:
Qualifications

Delivers data acquisition, transformations, cleansing, conversion, compression, and loading of data into data and analytics models. Work in partnership with data science and analysts to understand use cases, data needs, and outcome objectives

  • 2-5 years demonstrated proficiency working with Hadoop
  • Spark
  • Map Reduce
  • Hive
  • Oozie
  • Linux, Shell Scripting
  • noSQL and or Traditional SQL
  • Tableau or Power BI
  • Relational databases, ER models/diagrams
Other functions about the roles if asked by candidate:

  • Keys to this role is that they have experience identifying data sources (Internal and external) and develop solutions around ingesting that data into a Hadoop ecosystem and transforming that data into information that can be used to develop advanced analytical models
  • A good quality or back ground to have would be ETL work using SSIS / Informatica / Developing API's for data services. Data Transformation.
  • Java, ETL, SQL & No-SQL Software Development & Production Support Life Cycle, Implementation in Data warehouse
  • Experience working on different frameworks to ingest data from different files Avro ,Parquet, RC files.
  • Develop Run Book(SRB) for ingesting data from relational databases to HDFS from Hive.
  • Delivers data acquisition, transformations, cleansing, conversion, compression, and loading of data into data and analytics models. Work in partnerships with data science and analysts to understand use cases, data needs, and outcome object
 
skills:
  • 2-5 years demonstrated proficiency working with Hadoop
  • Spark
  • Map Reduce
  • Hive
  • Oozie
  • Linux, Shell Scripting
  • noSQL and or Traditional SQL
  • Tableau or Power BI
  • Relational databases, ER models/diagrams

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.

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