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Senior Data Engineer (MarTech)
Location:
US-MO-kansas city
Jobcode:
kfrc
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client in Kansas City, MO is looking for an experienced Senior Data Engineer (MarTech).



Design, develop and test enterprise MarTech platforms for data engineering using SQL, Azure Data engineering skills including Azure Data Factory, Databricks/Fabric technologies
Leverage cutting-edge data technologies, programming languages, and industry-standard coding practices to innovate new features and optimize existing product/marketing functionalities
Design, develop, and maintain high-quality software components
Create and execute unit tests, troubleshoot issues, and resolve defects efficiently
Collaborate with Product, architects and cross-functional teams to align on requirements and implementation strategies
Translate business and functional requirements into clear technical specifications and product deliverables
Participate in technical design discussions and conduct code reviews to ensure quality and consistency
Document system architecture, design approaches, and development processes for future reference
Develop and maintain unit test plans and alpha test plans to support product validation
Stay current with emerging technologies, tools, and methodologies to continuously improve design, development, and deployment practices
Be part of a high-impact team that powers data-driven marketing strategies for one of the most recognized brands in the industry; Our MarTech squad is agile, collaborative, and committed to innovation and continuous learning
Bachelor's degree or the equivalent in Computer Science, Computer Information Systems, Information Technology, or related field
5+ years of recent experience in developing, debugging, and maintaining code with below skillsets, SQL, Azure Data engineering skills including Azure Data Factory, Databricks and/or Fabric technologies
Proficiency in Azure-based cloud technologies to support data needs, along with working in marketing projects (Adobe Experience Platform and/or Salesforce Marketing Cloud platform)
Deep knowledge in SQL Server databases, along with expertise in data analysis, data integrations
Proficient with AI technologies to enhance day to day activities
Well-honed troubleshooting skills at various levels of complexity

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