Full Stack Engineer

Responsibilities : Stakeholder Collaboration : Collaborate with Commercial business product owners and end users to understand data and technical ideation / design to implementation and rollouts. Collaborate with other stakeholders - Business domain and UI apps. Requirement Analysis : Analyse and reviewing key design reviews (against principles and standards) and leads remediation as appropriate. Standardisation of the tools & frameworks used in Digital Engineering. Development Collaboration : Mentoring the development team from both a technical and personal perspective. Testing Coordination : Coordinate and manage testing cycles, including user acceptance testing. Essential Skills: Python and JavaScript: Should have strong grip on both the language Hands on with Fast API, Apache Spark, React JS, Node JS, Server-Side JS. 4-5 years Developing Softwares using a wide range of Amazon Web Services and Cloud Technologies. Professional hands-on development experience and expert in JavaScript frameworks like Dojo, jQuery, Ember React, Angular or equivalent. Hands on with JavaScript Object based model and programming, ECMAScript 6, TypeScript 4 & NPM Expertise with Python and Python frameworks like FastAPI, Django, Flask, Celery, SQL Alchemy Hands on with S3, Lambda, AwsGlue, Fargate, SQS, SNS, Event bridge Hands on with Containers, Docker, Kubernetes, ECS, EKS, EC2 Hand on with PostgreSQL, AWS Redshift, Oracle, NoSQL, Mongo Build Automation with GitHub Actions, Jenkins, Shell Script Good at writing complex SQL queries Desirable Skills: AI Development using Langchain Good understanding of traditional LLM models and GenAI models, Vector Database Experienced with Hadoop, Hive, Presto Qualifications: Bachelor s degree in computer science, engineering, or related field (master s degree is a plus) 6-9 years of experience as Data Engineer Demonstrated continued learning through one or more technical certifications or related methods