Data Engineer

Data Engineer
C2H W2
$46 - 65 per hour

Job Description

job summary:

Our in-store Marketing client is looking for a Data Engineer to join their team! The Data Engineer will work remotely, 40 hours/week, in a contract to hire capacity. They'll work cross-functionally to implement analysis & validation strategies and turn data into actionable insights for the business.



Responsibilities:


  • Develop, validate & implement various Data Warehousing & Data Analysis solutions
  • Perform Data Analysis, Data Profiling & Data Integrity checks using SQL & other tools
  • Monitor, troubleshoot & debug existing Data Warehouse solutions and applications
  • Partner with business users to establish requirements & synthesize into one or more reusable DW/ETL products
  • Performs tasks and duties related to ad hoc analysis, design and processing

Requirements:


  • 4+ years as a Data Engineer in Warehousing, Integration & Validation
  • 3+ years with Data Warehousing tools (MySQL or similar, Pentaho ETL, Java ETL or similar ETL tools)
  • Exerience creating & optimizing ETLs
  • Understanding of Snowflake, Google Cloud Platform or AWS data pipelines a major plus
  • Understanding of Big Data Ecosystems is a plus
  • Experience in working with Java a plus
  • Excellent knowledge of large data manipulation & data mining using complex SQL
  • Able to critically think through defects, issues risks & action items and determine appropriate course of action

 

location: Chicago, Illinois

job type: Contract

salary: $46 - 65 per hour

work hours: 8am to 4pm

education: Bachelors

 

responsibilities:


  • Design, develop and validate various Data Warehousing & Data Analysis solutions.
  • Work with business users to establish requirements to achieve business objectives through Data.
  • Decompose the business requirements into one or more reusable DW/ETL products.
  • Translate business requirements into Data/ETL Solutions
  • Performs tasks and duties related to ad hoc analysis, design and processing.
  • Ensure effective communication of user requirements.
  • Debugging, monitoring and troubleshooting existing Data Warehouse solutions and applications.
  • Excellent working knowledge of large data manipulation and data mining using complex SQL.
  • Implement data validation/verification strategies, plans and use cases for various Data Warehousing & Data Analysis solutions.
  • Experience in writing complex SQL statements to validate data and ETL code based on the data mapping & requirements and perform extensive data analysis to identify the defects.
  • Perform detailed Data Analysis, Data Profiling and Data Integrity check using SQL, Shell scripts or any other tools.



 

qualifications:


  • Experience level: Experienced
  • Minimum 4 years of experience
  • Education: Bachelors
 

skills:
  • Data Center
  • Data Warehouse (3 years of experience is preferred)
  • Infrastructure
  • Quality
  • Quality
  • Data Analysis
  • ETL (3 years of experience is preferred)



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.

Dice Id : cxsapwma1
Position Id : 808945
Originally Posted : 2 months ago
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