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Job ID : 34555

Location : Dallas, TX

Company Name : Matal

Job Type : Full-Time, Part-Time, Contract, Training

Industry : Information Technology

Salary : $106200 - $107700  per hour

No. of Positions : I have ongoing need to fill this role


Required Skills : Python, Data visualization, Machine learning..

Benefits : Medical Insurance, Dental Insurance, Vision Insurance, 401K, Life Insurance


Job Description :

Responsibilities:

  • Analyze and interpret data to identify trends, issues, and opportunities.
  • Perform data discovery, profiling, and root cause analysis on large data assets.
  • Build Data mappings between Source and Target systems.
  • Participate in Data validation and Quality Assurance testing.
  • Partner with Data Stewards to build and implement new data quality rules.
  • Maintain a good application domain knowledge and assumes accountability to fulfill assigned areas of responsibility.

Qualifications:

  • 0-2 years of experience with a Bachelor's degree in Computer Science, Information technology, or related major
  • Proficient writing SQL queries on relational databases
  • Exposure to AWS Cloud platform or Cloud-based databases like Snowflake, Redshift etc.
  • Professional or academic experience in data disciplines like Data Warehousing, Data Lake, Data Modeling, Data Mining, Data Profiling, Data Curation etc.
  • Good exposure to Snowflake Database
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate large data set.
  • Ability to work under direction, independently and in a team setting. Able to work effectively with vendors and IT leadership.
  • Ability to organize information and communicate clearly and concisely.
  • Ability to manage own time, activities and resources to deliver timely results.
  • This position is a hybrid role and can work from a US based home in the Chicago area or Jacksonville, FL. Expectation is 1- 2 days per week in the office.
  • Sponsorship is not offered for this position.

Key Skills:

  • Microsoft Excel. 
  • Data management.
  • Data governance. 
  • Python. 
  • Data visualization. 
  • Machine learning. 
  • Excellent communication.

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