Data Integration Engineer (India)

Cami.AI

Ernakulam

On-site

INR 800,000 - 1,200,000

Full time

14 days+

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Benefits offered by this job

Participation in company value creation
Competitive compensation package
Collaborative team environment

Job summary

Cami.AI, based in Ernakulam, is seeking a Data Integration Engineer to integrate systems with various customer platforms. You will work on projects involving Python and AWS services, focusing on developing secure and scalable data integration solutions.

Required qualifications include a Bachelor’s degree in Computer Science and at least 2 years of relevant programming experience, particularly in data formats like JSON and XML. You will be part of a growing entrepreneurial team with a competitive compensation package.

Qualifications

  • 2+ years relevant programming experience with data integration in various formats.
  • Strong knowledge of Object-Oriented Programming and reusable coding practices.
  • Experience with serverless environments and microservices.

Responsibilities

  • Develop reusable integrations between Cami.AI systems and customer platforms.
  • Design and implement secure, maintainable, and performant code.
  • Collaborate with other teams during Agile ceremonies.

Skills

Python
Data Integration
AWS Sagemaker
RESTful APIs
OOP

Education

Bachelor’s degree in Computer Science or related field

Tools

AWS Glue
Node JS
Delta Lake
Spark

Job description

https://www.linkedin.com/company/cami-ai

https://www.cami.ai/careers/

Job Description

Your Role:

Cami.AI is looking for a Data Integration 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 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.
  • 2+ 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.
Additional Information

Cami.AI is a fast growing SAAS platform that aspires to be the next Unicorn in Kochi. This is the right job if you are looking to make a difference and work with a high performance high energy team.

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