Lead complex initiatives with broad impact and act as key participant in large scale software planning for the Technology area
Design, develop, and run tooling to discover problems in data and applications and report the issues to engineering and product leadership
Review and analyze complex software enhancement initiatives for business, operational or technical improvements that require in depth evaluation of multiple factors including intangibles or unprecedented factors
Make decisions in complex and multi-faceted data engineering situations requiring understanding of software package options and programming language and compliance requirements that influence and lead Technology to meet deliverables and drive organizational change
Strategically collaborate and consult with internal partners to resolve highly risky data engineering challenges

Requirements

5+ years of Database Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Relational database and data repository experience
Experience designing reusable ETL solutions using Python and/or SSIS
Knowledge and understanding of Data Models, ERD, Dimensional Models and Metadata
Experience working with complex datasets using SQL
Advanced data modeling skills and experience in capacity planning
Proficiency in data quality analysis
Ability to develop business metadata and data dictionaries
Experience analyzing data defects, identifying the root cause and defining the remediation options.
Release process knowledge and experience using ServiceNow and/or DevSecOps
Working knowledge of EPL including GitHub, Liquibase

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Database EngineeringETL solutionsPythonSSISSQLData ModelsERDDimensional ModelsData quality analysisCapacity planning

Soft Skills

LeadershipCollaborationConsultationDecision makingProblem solving