
About Kloud9:
Kloud9 exists with the sole purpose of providing cloud expertise to the retail industry. Our team of cloud architects, engineers and developers help retailers launch a successful cloud initiative so you can quickly realise the benefits of cloud technology. Our standardised, proven cloud adoption methodologies reduce the cloud adoption time and effort so you can directly benefit from lower migration costs.
Kloud9 was founded with the vision of bridging the gap between E-commerce and cloud. The E-commerce of any industry is limiting and poses a huge challenge in terms of the finances spent on physical data structures.
At Kloud9, we know migrating to the cloud is the single most significant technology shift your company faces today. We are your trusted advisors in transformation and are determined to build a deep partnership along the way. Our cloud and retail experts will ease your transition to the cloud.
Our sole focus is to provide cloud expertise to retail industry giving our clients the empowerment that will take their business to the next level. Our team of proficient architects, engineers and developers have been designing, building and implementing solutions for retailers for an average of more than 20 years.
We are a cloud vendor that is both platform and technology independent. Our vendor independence not just provides us with a unique perspective into the cloud market but also ensures that we deliver the cloud solutions available that best meet our clients' requirements.
What we are looking for:
● 3+ years’ experience developing Data & Analytic solutions
● Experience building data lake solutions leveraging one or more of the following AWS, EMR, S3, Hive& Spark
● Experience with relational SQL
● Experience with scripting languages such as Shell, Python
● Experience with source control tools such as GitHub and related dev process
● Experience with workflow scheduling tools such as Airflow
● In-depth knowledge of scalable cloud
● Has a passion for data solutions
● Strong understanding of data structures and algorithms
● Strong understanding of solution and technical design
● Has a strong problem-solving and analytical mindset
● Experience working with Agile Teams.
● Able to influence and communicate effectively, both verbally and written, with team members and business stakeholders
● Able to quickly pick up new programming languages, technologies, and frameworks
● Bachelor’s Degree in computer science
Why Explore a Career at Kloud9:
With job opportunities in prime locations of US, London, Poland and Bengaluru, we help build your career paths in cutting edge technologies of AI, Machine Learning and Data Science. Be part of an inclusive and diverse workforce that's changing the face of retail technology with their creativity and innovative solutions. Our vested interest in our employees translates to deliver the best products and solutions to our customers.

About Kloud9 Technologies
About
Kloud9 was founded with the vision of enabling our customers to transform into an intelligent enterprise with our “AI-First” approach. We help our customers in their data transformation and insights transformation journeys and enable them to make smart business decisions.
At Kloud9, we know AI & ML is one of the key technologies that can help organizations to significantly improve their customer experiences and transform their business operations to enable them to survive & thrive in this global competitive market.
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Kindly request you to apply in the below link and you will receive a call as soon as possible from us. https://jobs.narvee.com
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Aditya Trade Center, 4th Floor, Office No. 404, Ameerpet, Hyderabad
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.
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- Design, develop, and maintain high-performance ETL and real-time data pipelines using Apache Kafka and Apache Flink.
- Build scalable and automated MLOps pipelines for training, validation, and deployment of models using AWS SageMaker and associated services.
- Implement and manage Infrastructure as Code (IaC) using Terraform to provision and manage AWS environments.
- Collaborate with data scientists, ML engineers, and DevOps teams to streamline model deployment workflows and ensure reliable production delivery.
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- Develop data transformation logic and integrate data from various internal and external sources into data lakes and warehouses.
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- Hands on with AWS (Amazon Web Services) Cloud with DevOps services and CloudFormation.
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- Excellent troubleshooting skills.
- Experience in Docker and Kuberneties with creating docker files.
- Hands on with version control systems like GitHub, Gitlab, TFS, BitBucket, etc.
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Design and deployment of database and backend storage systems (eg. relational database, key-value/blob stores) Design and implementation of low-latency, high-availability, and performant applications Design and construction of REST APIs Integrating front-end UI with the constructed APIs “Pixel-perfect” implementation of approved UI and designs Building reusable components and front-end libraries for future use Design and implementation of continuous integration and deployment Test software to ensure responsiveness and efficiency Implementation of security and data protection Integration with third-party services and software
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- 2-5 years relevant work experience in building multiple users software solutions
- 1-2 years hands on experience building cloud based web and mobile applications
- JavaScript, React, NodeJS, structured and unstructured store
- Strong Front End or Back end experience
- Hands on experience building Restful APIs
- Hands on experience building microservices based applications
- Understanding of DevOps / DevSecOps processes and related tools including, but not limited to, IaC (Terraform, CloudFormation), config management (Chef, Puppet), Git / Bitbucket, or Jenkins, etc.
- Hands on experience with multiple frontend or backend technologies (either) / frameworks / platforms supporting web and mobile applications – Such as: NodeJS, Python, Django, Flask, PHP, Laravel, jQuery, Bootstrap, Angular, Vue.js, ReactJS, Bootstrap, React-Native, Flutter, iOS SDK, or similar.
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- Understanding of practices regarding system security measures
| Experience in Core PHP. |
| Experience in Laravel Frameworks. |
| Understanding of open source eCommerce platforms like Woocommerce, Magento. |
| Experience in REST API's integrations. |
| Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3 |
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