12 days old

Data Engineer Big Data

Cincinnati, OH 45202
  • Job Code
  • Payrate
    $60 To $70

Data Engineer Big Data - Develop scale production data pipes, writes and develop code for advanced data models and scale production solutions for efficiency. (Code Optimization - Model Enhancements - Visualization)

Role Description

Data Engineers 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:

Data Engineer - 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.

Technically Capable: As a Data Engineer, 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 Engineer you will be a part of an award-winning Business Intelligence and IT community that is Global in scope, and operates across all of core disciplines.


We are looking for leaders who have graduated with a BS or MS in Business/Management Information Systems and/or Computer Science/Engineering, Programming/Software Development or Operations Research or Statistics who have:

  • Demonstrated proficient to advanced mastery in applied data technologies
  • Hadoop
  • Spark
  • Python
  • Hive
  • Impala
  • noSQL
  • Tableau
  • Power BI
  • SQL

    • Relational databases, ER models/diagrams

  • Have proficient knowledge in programming languages such as Python, Java and R
  • Demonstrated skills in database / data modelling or are experienced with Hive, Impala, and other noSQL databases
  • Good written and verbal communication skills to engage with others, primarily Data Science
  • Demonstrated use of data and BI tools
  • Demonstrated ability to handle multiple priorities
  • Ability to work collaboratively across functions


  • Information Technology

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Data Engineer Big Data

Randstad Technologies
Cincinnati, OH 45202

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Cincinnati, OH

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