Description :

Join our team of enthusiastic technologists as we build the future of a cloud-based intelligent integration platform

This role is for a skilled Data Integration engineer with strong expertise in low code no code tools such as Snap logic. You will comprehend complex functional and technical issues and design solutions that align with business needs. You will work on cloud-native AI-driven integration systems, leveraging Kubernetes, AWS, and advanced automation with a top-performing team to deliver enterprise-grade solutions.

Essential Skills :

- Hands on experience with Snap Logic cloud-native integration platform. Ability to design and implement integration pipelines using low code iPaaS tools

- Experience in programming language Java or Python

- Hands on development experience of AWS (S3, lambda, API gateway, EC2, CloudFront, Route53, Dynamo DB, vpc, subnets)

- Hands-on experience with Kubernetes for container orchestration

- Experience in complex backend data and application integrations in financial services industry.

- Perform code reviews and ensure high standards of quality and participate in peer-reviews of solution designs and related code.

- Assist in the collection and documentation of users requirements, development of user stories, and estimates.

- Analyse and resolve technical and application problems.

- Adhere to high-quality development principles while delivering solutions on time

Skills nice to have :

- Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation).

- Experience in CI/CD, TDD, DevOps, CI/CD tools - Jenkins/Urban Code/SonarQube/ Bamboo

Key Responsibilities :

- Design, develop, and maintain Snap logic-based data Integration

- Develop ETL pipelines for data processing and automation workflows

- Collaborate with cross-functional teams to design scalable, secure, and high-performance solutions.

- Ensure adherence to best practices in cloud architecture, container orchestration

- Communicate with business analysts to discuss various business requirements

Experience and Qualification :

- B.E./ B.Tech. or M.C.A. in Computer Science from a reputed University

- Hands on experience with Snap Logic cloud-native integration platform. Ability to design and implement integration pipelines using low code iPaaS tools