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Strong employer brand, metro location, and a common Data Engineer title increase applicant competition.
Core data engineering skills are transferable, though specific ETL and Salesforce integrations increase sensitivity.
Multiple mandatory technologies (SQL Server, SSIS, Talend, ETL) and domain experience increase shortlisting rigor.
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Design, develop, and maintain SQL Server database solutions including stored procedures, views, functions, and SQL Agent jobs.
Build, support, and optimize ETL processes using SSIS and Talend with integration of internal and external systems via REST APIs.
Ensure data quality, integrity, and consistency while troubleshooting and improving existing database and ETL workflows; support deployment and maintain version control.
Degree in Computer Science, Information Technology, Data Engineering, or related field, or equivalent commercial experience.
Strong experience with Microsoft SQL Server and SQL development including stored procedures, views, SQL Agent jobs, and query optimization.
Experience with ETL tools SSIS and Talend, REST API integrations, Visual Studio, GitHub, and basic knowledge of .NET applications.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced data engineer with solid expertise in SQL Server and ETL development within enterprise environments integrating multiple data sources.
Familiarity with source control (GitHub) and deployment tools, able to manage end-to-end data solutions with strong analytical and problem-solving skills.
Capable of translating business requirements into technical solutions and collaborating with both technical and non-technical stakeholders.