What are the responsibilities and job description for the Data Engineer Level 2 position at Booker DiMaio, LLC?
Data Engineer Level 2
24 Months
US CITIZEN or GREEN CARD ONLY
Job Description:
Data Architect Assist the Data Assessment Team in constructing data monitoring and remediation reports, scorecards, and business rules.
Functions as an on-site technical lead for the Data Assessment Team Assist the technical framework team in constructing and refining the data quality framework in Informatica IDQ Ensure the framework is scalable, repeatable, and well documented.
Assists in refinement of the Data Quality playbook
Assist the Data Assessment Team in constructing data monitoring and remediation reports, scorecards, and business rules.
Function as an on-site technical lead for the Data Assessment Team
Assist the technical framework team in constructing and refining the data quality framework in Informatica IDQ Ensure the framework is scalable, repeatable, and well documented.
Assist in refinement of the Data Quality playbook
Key Responsibilities:
Participate in the application technical design process
Develop programming specifications. Design, code and unit test application code using SDLC best practices
Complete estimates and work plans as appropriate for design, development, implementation and rollout tasks
Create technical system documentation and ensure that this documentation remains current throughout all phases of the SDLC
Communicate timely status, including any potential risks/issues to the appropriate teams to ensure that assignment releases are managed appropriately and that completed assignments are of the highest quality
Support and maintain applications utilizing required tools and technologies
Build partnerships across the application, business and infrastructure teams
Skills
Accountable for preforming DB activities and designs that delivers technological responses to achieve targeted business outcomes. Provide facilitation, analysis and design tasks required for the development of an enterprise's data and information architecture, focusing on data as an asset for the enterprise. Experience in SQL is a must and Databricks are preferred.
