Associate Lead Data Integration Engineer
Arthur J. Gallagher & Co.Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Develop, test, and maintain scalable data integration software and data engineering routines.
Design and implement scalable data storage and retrieval solutions using on-premise and cloud architectures.
Collaborate with business analytics and IS architecture teams to resolve data-related technical issues and support data infrastructure.
Minimum Requirements
7+ years experience in enterprise data integration solutions, preferably with Microsoft SQL Server and MPP systems like Teradata or Netezza.
Proficiency in data integration tools such as SSIS, Azure Data Factory, and strong SQL/T-SQL skills; experience with XML and JSON formats.
Bachelor’s degree in Computer Science, Computer Engineering, or relevant field.
Experience with CI/CD pipelines, code versioning tools (e.g., GitHub), and implementation of data warehouse architecture standards.
Ideal Candidate Profile
Experienced in designing and managing enterprise-scale data integration using both on-premise and Azure cloud platforms.
Strong background in data warehousing, data quality, and multi-dimensional data design.
Able to independently initiate and influence data projects with cross-functional teams across the organization.