Senior Data Engineer

Overview

On Site
Depends on Experience
Contract - W2
Contract - 6 Month(s)

Skills

Business Intelligence - Data Engineering
Data Analysis
DBT/Snowflake
Snowflake
SQL
Agile
Financial Experience

Job Details

Hi, One, our direct client is working for a Data Engineer located in Cincinnati, OH. Please go through the requirements and reply with suitable resumes

 

Senior Data Engineer

Location: Cincinnati, OH

Skills: Business Intelligence - Data Engineering, Data Analysis, DBT/Snowflake, Snowflake, SQL, Agile, Financial Experience

Experience: 5+ yrs
Duration: 6 Months

 

Job ID: 1604

 

Job Description

Job Summary:

Handle the design and construction of scalable management systems, ensure that all data systems meet company requirements, and also research new uses for data acquisition. Required to know and understand the ins and outs of the industry such as data mining practices, algorithms, and how data can be used. This particular role will be part of team tha will build out our Deposits Master Data Product that will be used by all areas of the bank as the Data Product of Truth for Deposits.

 

This role is planned to be in the annual budget, so looking for individuals who want to be here for a long time.

 

Primary Responsibilities:

  • Design, construct, install, test and maintain data management systems.
  • Ensure that all systems meet the business/company requirements as well as industry practices.
  • Integrate up-and-coming data management and software engineering technologies into existing data structures.
  • Develop set processes for data mining, data modeling, and data production.
  • Create custom software components and analytics applications.
  • Research new uses for existing data.
  • Employ an array of technological languages and tools to connect systems together.
  • Collaborate with members of your team (eg, data architects, the IT team, data scientists) on the project s goals.
  • Install/update disaster recovery procedures.
  • Recommend different ways to constantly improve data reliability and quality.
  • Ensure data reconciles to the general ledger
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