Senior Data Engineer

Job Description

Cami.AI is a smart customer success platform that helps customers build and maintain consistent revenue to create scalable customer love. It leverages machine learning to help bridge the gaps between all the stakeholders who touch the customer.

Your Role

Cami.AI is looking for a Senior Data Engineer who wants to work with significant autonomy on a small, entrepreneurial team. In this role, you will be the expert in integrating Cami.AI systems with various customer systems to exchange data. You will also write machine learning workers on top of the data extracted that will continue to grow the intelligence of the system. You’ll have the opportunity to solve interesting problems to build the customer success platform of the future.

What you will work on: Python, AWS Sagemaker, AWS Glue, Node JS, Delta Lake, Spark

Other technologies used in the company: Angular 12, HTML5 , CSS3, AWS Amplify, DynamoDB, Elastic Search

What You’ll Do

• Develop reusable integrations, both inbound and outbound, between Cami.AI systems and other customer platforms.
• Assist in designing, enhancing, and constructing new and existing features using performant, scalable, secure, documented, and maintainable code.
• Quickly produce well-organized, optimized, well-tested, and documented code.
• Collaborate with other Engineers and Operations to design and implement features.
• Communicate effectively and efficiently with teammates and other departments.
• Meet deadlines and satisfy requirements. Participate in agile ceremonies such as iteration planning, retrospective, and daily stand-ups.

What We Offer

As a Senior Data Integration Engineer, you’ll receive a competitive compensation package. Most importantly you will also participate in the value created in the company over the years and be part of a growing entrepreneurial team.

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, or related field/experience.
• 4+ years relevant programming experience with an emphasis on data integrating in structured and unstructured formats such as flat-files, JSON, and XML.
• Strong knowledge of OOP and reusable coding practices.
• Experience with Python, serverless environments, microservices, and RESTful/SOAP APIs.
• Experienced using practices such as unit testing, integration testing, proper code documentation, and appropriate logging to develop highly maintainable and reliable code.
• Basic understanding of scrum, continuous integration, continuous delivery, and DevOps.
• A working knowledge of SaaS platformsis a plus.