SDE

Job Description

Key Responsibilities

• API & Service Development:
• Build RESTful and GraphQL APIs for e-commerce, order management, inventory, pricing, and promotions.
• Database Management:
• Design efficient schemas and optimize performance across SQL and NoSQL data stores.
• Integration Development:
• Implement and maintain integrations with ERP (SAP B1, ERPNext), CRM, logistics, and third-party systems.
• System Performance & Reliability:
• Write scalable, secure, and high-performance code to support real-time retail operations.
• Collaboration:
• Work closely with frontend, DevOps, and product teams to ship new features end-to-end.
• Testing & Deployment:
• Contribute to CI/CD pipelines, automated testing, and observability improvements.
• Continuous Improvement:
• Participate in architecture discussions and propose improvements to scalability and code quality.

Requirements

Required Skills & Experience

• 3–5 years of hands-on backend development experience in Node.js, Python, or Java.
• Strong understanding of microservices, REST APIs, and event-driven architectures.
• Experience with databases such as MySQL/PostgreSQL (SQL) and MongoDB/Redis (NoSQL).
• Hands-on experience with AWS / GCP and containerization (Docker, Kubernetes).
• Familiarity with Git, CI/CD, and code review workflows.
• Good understanding of API security, data protection, and authentication frameworks.
• Strong problem-solving skills and attention to detail.

Nice to Have

• Experience in e-commerce or omnichannel retail platforms.
• Exposure to ERP / OMS / WMS integrations.
• Familiarity with GraphQL, Serverless, or Kafka / RabbitMQ.
• Understanding of multi-brand or multi-country architecture challenges.

• Experience in Python
• Experience in any Framework like Django, and Flask.
• Primary and Secondary skills - Python, OOPs and Data Structure
• Good understanding of Rest Api 
• Familiarity with event-driven programming in Python 
• Good analytical and troubleshooting skills

The candidate should have extensive experience in designing and developing scalable data pipelines and real-time data processing solutions. As a key member of the team, the Senior Data Engineer will play a critical role in building end-to-end data workflows, supporting machine learning model deployment, and driving MLOps practices in a fast-paced, agile environment. Strong expertise in Apache Kafka, Apache Flink, AWS SageMaker, and Terraform is essential. Additional experience with infrastructure automation and CI/CD for ML models is a significant advantage.

Key Responsibilities

1. Design, develop, and maintain high-performance ETL and real-time data pipelines using Apache Kafka and Apache Flink.
2. Build scalable and automated MLOps pipelines for training, validation, and deployment of models using AWS SageMaker and associated services.
3. Implement and manage Infrastructure as Code (IaC) using Terraform to provision and manage AWS environments.
4. Collaborate with data scientists, ML engineers, and DevOps teams to streamline model deployment workflows and ensure reliable production delivery.
5. Optimize data storage and retrieval strategies for large-scale structured and unstructured datasets.
6. Develop data transformation logic and integrate data from various internal and external sources into data lakes and warehouses.
7. Monitor, troubleshoot, and enhance performance of data systems in a cloud-native, fast-evolving production setup.
8. Ensure adherence to data governance, privacy, and security standards across all data handling activities.
9. Document data engineering solutions and workflows to facilitate cross-functional understanding and ongoing maintenance.

• You solve problems at their root, stepping back to understand the broader context.
• You develop pragmatic solutions and build flexible systems that balance engineering complexity and timely delivery, creating business impact.
• You understand a broad range of data structures and algorithms and apply them to deliver high-performing applications.
• You recognize and use design patterns to solve business problems.
• You understand how operating systems work, perform and scale.
• You continually align your work with Amazon’s business objectives and seek to deliver business value.
• You collaborate to ensure that decisions are based on the merit of the proposal, not the proposer.
• You proactively support knowledge-sharing and build good working relationships within the team and with others in Amazon.
• You communicate clearly with your team and with other groups and listen effectively.

Job Description

Build and maintain bots on Azure platform.  Integration with Active directory, WEB API based integration with external systems. Training and Integrate bots as per users’ requirements. Work in line with design guidelines, best practices and standards of bot deliverable. Creative approach to the conversation flow design, human aspects in the bot responses and sentiments

Qualifications

1. a) 5 years of experience in software development with clear understanding of the project life cycle
   b) Min 2-3 years of hands-on experience in Microsoft Azure Bot Framework , LUIS and other Cognitive services offered by Azure
   c) Hands on experience with Machine Learning based chat bots
   d) Experience with Azure bot services like Text Analytics etc.
   e)Strong database skills and hands-on experience on databases like SQL Server/Oracle
2. f) Strong experience on Azure Active directory and adaptive cards integration in Chat bot.
3. g) Strong experience designing and working with

with service-oriented architectures (SOA) and WebAPIs.

1. h) A strong experience on Microsoft Azure, ASPNET / MVC and programming languages such as C# / VBNET
2. i) Knowledge of Python and NodeJS is a plus
3. j) Ability to design and optimize SQL Server 2008 stored procedures.
4. k) Experience with JQuery, CSS3, HTML5 or similar technologies.
5. l) Ability to adapt quickly to an existing, complex environment.

• 9+ years development experience in JAVA (using OO Design and Analysis, Design Patterns, etc.)
• High experience in Java 8 Required.
• 4+ years’ experience building highly scalable, distributed and reliable Restful Web Services using Spring, Jersey, etc.
• Should have knowledge on Cloud applications preferably on AWS.
• Knowledge on building Front end applications using JavaScript, AngularJS, HTML5, CSS3.
• Experience with relational DBs like MySQL and NoSQL Database like MongoDB, Solr/Lucene will be a plus.
• Experience with Tomcat, Jax-RS, REST, JPA, IntelliJ, Groovy, Hibernateis must.
• Experience with build technologies like Gradle, Jenkins will be a plus. 
• Experience with Test Driven Development using TestNG/Junit testing frameworks.
• Experience working with version control like GIT.