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Mid-level brand, metro location, and broad fullstack/data requirements increase competition but senior title reduces applicant density.
Database, ETL and scripting skills are broadly transferable, though marketing-platform context adds moderate domain bias.
Many mandatory cross-stack technical skills and database/ETL expertise raise filtering rigor.
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Develop, secure, and consume back-end services using technologies like Java with Spring, Python frameworks, Node.js, or .NET/C#.
Design and integrate REST APIs with token-based/OAuth authentication and validate using tools such as Postman or Swagger.
Build and optimize complex SQL queries, ETL pipelines, and data integration solutions across multiple systems.
Strong hands-on experience with front-end technologies: HTML5, CSS3, JavaScript ES6+, and at least one modern framework (React, Angular, or Vue.js).
Proficiency in back-end server-side development with Java(Spring/Spring Boot), Python(Django/Flask/FastAPI), Node.js(Express), or .NET/C#.
Hands-on experience with API-first development including REST APIs, OAuth/token authentication, and API validation.
Strong command of one or more major databases (SQL Server, Oracle, Teradata, PostgreSQL, MySQL) and SQL scripting. Work Experience Required: Not explicitly mentioned in the JD.
Technically versatile engineer equally adept at front-end and back-end development in modern frameworks and languages.
Experienced in building scalable data solutions involving complex queries, ETL pipelines, and data modeling within enterprise marketing platforms.
Analytically strong problem solver with practical experience in API design, integration, and scripting automation for data transformation and troubleshooting.