Senior Software Data Engineer

We’re seeking a Senior Software Data Engineer to join our team and focus on creating our next-generation Data Integration Platform. This platform serves as a bridge between eCommerce systems and GoDaddy’s Data Platform. This role is an exceptional opportunity for an experienced Software Engineer to contribute to developing a secure, highly available, fault-tolerant, and globally efficient microservices-based platform. Deployed on AWS, it applies the latest technology stack.

In addition to these responsibilities, the role involves supporting and maintaining our on-prem legacy stack built with Microsoft technologies. A key part of this role will be working with various database technologies, including relational and non-relational databases in AWS and Microsoft SQL Server(on-prem). Passionate about new and legacy tech? Experienced with programming languages and databases? Committed to delivering high-quality solutions? Let's talk!

What you'll get to do...

• Design, build, and maintain scalable and robust data pipelines.
• Develop and optimize data models to support business processes. Ensure data quality and integrity through rigorous testing and validation.
• Implement data storage solutions using AWS database services and or Microsoft SQL Server.
• Integrate complex datasets using REST APIs and other data ingestion techniques.
• Collaborate with multi-functional teams to capture requirements and deliver data-driven solutions. Provide technical leadership and mentorship to junior data engineers.

Your experience should include...

• At least 5 years of experience as a Data Engineer or in a similar role.
• Expertise in Microsoft technologies and programming languages such as C# and Python.
• Strong knowledge of AWS cloud services, particularly in data-related offerings.
• Proficiency in REST API development and integration.
• Experience with Microsoft SQL Server and familiarity with other AWS relational and non-relational databases.

You might also have...

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Proficient in tools and frameworks for handling large datasets.
• Familiarity with data visualization and reporting tools.
• Certifications in Microsoft and AWS technologies or any relevant in the field of Engineering