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Strong employer brand, generalist Data Engineer title, and mid-level expectations increase applicant competition.
Data engineering skills (SQL, ETL, APIs) are broadly transferable across industries.
Multiple mandatory ETL, SQL, and integration technologies required, increasing technical filtering.
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Design, develop, optimize, and maintain Microsoft SQL Server database solutions and ETL processes using SSIS and Talend.
Develop and maintain data integrations with internal and external systems via REST APIs, ensuring data quality, integrity, and troubleshooting data load failures.
Collaborate with business analysts and stakeholders to translate data requirements into technical solutions and support deployment activities using Visual Studio and GitHub.
Degree in Computer Science, Information Technology, Data Engineering, or related discipline, or equivalent commercial experience.
Strong experience with Microsoft SQL Server and SQL development, including Stored Procedures, Views, SQL Agent Jobs, and query optimization.
Experience developing ETL solutions using SSIS and Talend, and working with REST APIs for data integration.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in maintaining and optimizing data pipelines and database performance in enterprise environments.
Capable of translating complex business data needs into effective technical implementations with strong analytical skills.
Familiar with source control best practices using GitHub and deployment processes involving Visual Studio in Agile settings.