AWS Data Engineer

Key Responsibilities:

• Design, develop, and maintain robust and scalable backend applications using Core Java and Spring Boot.
• Build and manage microservices-based architectures and ensure smooth inter-service communication.
• Integrate and manage real-time data streaming using Apache Kafka.
• Write clean, maintainable, and efficient code following best practices.
• Collaborate with cross-functional teams including QA, DevOps, and product management.
• Participate in code reviews and provide constructive feedback.
• Troubleshoot, debug, and optimize applications for performance and scalability.

Required Skills:

• Strong knowledge of Core Java (Java 8 or above).
• Hands-on experience with Spring Boot and the Spring ecosystem (Spring MVC, Spring Data, Spring Security).
• Experience in designing and developing RESTful APIs.
• Solid understanding of Microservices architecture and related patterns.
• Practical experience with Apache Kafka for real-time data processing.
• Familiarity with SQL/NoSQL databases such as MySQL, PostgreSQL, or MongoDB.
• Good understanding of CI/CD tools and practices.
• Knowledge of containerization tools like Docker is a plus.
• Strong problem-solving skills and attention to detail.

Proficiency in Tailwind CSS for development.

Experience in troubleshooting and debugging frontend applications.

Solid understanding and hands-on experience with either Angular or React.

Strong communication skills with the ability to collaborate effectively within a team.

A keen eye for detail and a passion for creating seamless user experiences.

Inventory Planning and management, ERP Exp. working in Manufacturing or Trading Company with large SKU

Role Overview:

We are seeking a highly skilled and motivated Data Scientist to join our growing team. The ideal candidate will be responsible for developing and deploying machine learning models from scratch to production level, focusing on building robust data-driven products. You will work closely with software engineers, product managers, and other stakeholders to ensure our AI-driven solutions meet the needs of our users and align with the company's strategic goals.

Key Responsibilities:

• Develop, implement, and optimize machine learning models and algorithms to support product development.
• Work on the end-to-end lifecycle of data science projects, including data collection, preprocessing, model training, evaluation, and deployment.
• Collaborate with cross-functional teams to define data requirements and product taxonomy.
• Design and build scalable data pipelines and systems to support real-time data processing and analysis.
• Ensure the accuracy and quality of data used for modeling and analytics.
• Monitor and evaluate the performance of deployed models, making necessary adjustments to maintain optimal results.
• Implement best practices for data governance, privacy, and security.
• Document processes, methodologies, and technical solutions to maintain transparency and reproducibility.

Qualifications:

• Bachelor's or Master's degree in Data Science, Computer Science, Engineering, or a related field.
• 5+ years of experience in data science, machine learning, or a related field, with a track record of developing and deploying products from scratch to production.
• Strong programming skills in Python and experience with data analysis and machine learning libraries (e.g., Pandas, NumPy, TensorFlow, PyTorch).
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker).
• Proficiency in building and optimizing data pipelines, ETL processes, and data storage solutions.
• Hands-on experience with data visualization tools and techniques.
• Strong understanding of statistics, data analysis, and machine learning concepts.
• Excellent problem-solving skills and attention to detail.
• Ability to work collaboratively in a fast-paced, dynamic environment.

Preferred Qualifications:

• Knowledge of microservices architecture and RESTful APIs.
• Familiarity with Agile development methodologies.
• Experience in building taxonomy for data products.
• Strong communication skills and the ability to explain complex technical concepts to non-technical stakeholders.

• Build and continuously mentor a talented product engineering team comprising of functional specialists and IT managers
• Actively advise on the optimum technology architecture, framework and supported IT infrastructure to ensure a balance between budgeted costs & building engineering capabilities
• Lead the development of products as per defined timelines and deliverables
• Ensure quality and security of the concepts and products in development by enabling adequate measures throughout the process
• Foster a corporate culture by inspiring the engineering team to grow and develop. She/he should be actively involved in feedback and retention of team members.
• Create strategic plans, set timelines to drive development of the planned products
• Continually review the progress to ensure timely launch of the respective product builds 
• Document periodic feedback from both internal and external stakeholders to continually improve the released products
• Enable active collaboration between product engineering team and other business departments within the organization, thereby promoting a culture of openness 

• Design and Build sophisticated and highly scalable apps using Flutter.
• Build custom packages in Flutter using the functionalities and APIs already available in native Android and IOS.
• Translate and Build the designs and Wireframes into high-quality responsive UI code.
• Write efficient queries for core Data.
• Use of Model-View-Controller (MVC) and Model-View-View Model-Controller (MVVM) as it relates to designing, developing architecture and developing maintainable, testable, and functional software that meets product requirements.
• Explore feasible architectures for implementing new features.
• Suggest space and time-efficient Data Structures.
• Follow the best practices while developing the app and keep everything structured and well documented.
• Use CI/CD for smooth deployment.
• Document the project and code efficiently.
• Manage the code and project on Git in order to keep in sync with other team members and managers.
• Communicate with the Project Manager regarding status of projects and suggest appropriate deadlines for new functionalities.
• Ensure security guidelines are always followed while developing the app.
• Validate the cloud system to ensure any new changes do not compromise the security of the backend server.
• Suggest new features and/or enhancements.
• Consulting with our customer-facing representatives about software system design and maintenance.
• Maintaining software through product lifecycle including design, development, verification and bug fixes.
• Connect regularly with the Quality Assurance Specialist to deliver a stable app.
• Resolve all the bugs reported by the Quality Assurance Specialist in a timely manner.
• Perform time profiling and memory leaks assessment.
• Execute app verification protocol.
• Write tests for the App.
• Following company policies and quality procedures to ensure quality product deliverables.

• Being an ambassador for the company- attracting and hiring the best talent in the industry
• Driving recruitment strategy for the technical and non-technical role
• Independently driving hiring needs for our business functions end to end and managing the entire lifecycle of recruitment
• Developing and planning recruiting strategies around sourcing, branding, candidate experience and management
• Driving operational excellence across the entire recruitment funnel by actively monitoring our recruiting funnel data, analyzing the results, and identifying areas for improvement
• Ensuring a compelling, engaging candidate experience that helps to strengthen and enhancing our employer brand
• Building proactive sourcing strategies to engage and nurture the pipeline of passive talents and taking steps to approach people from diverse backgrounds
• Initiating and driving projects from time to time to help optimise and making the recruitment process more efficient

Desired Candidate Profile

• 6-8 years experience recruiting, sourcing and engaging talent in an extremely fast-paced environment
• TA experience from startup background or from Fintech will be preferred
• A great understanding of different roles in the industry with an understanding of high-performance culture and hiring standard
• Ability to assess the candidates beyond their work profiles and engaging them throughout the process
• Ability to build and maintain relationships with stakeholders