Data Engineer- Snowflake Data Cloud

·      7+ years of professional experience in front-end development.

·      5+ years of hands-on experience with React.js and its ecosystem (Redux, Context API, Hooks, etc.)

·      Strong understanding of JavaScript (ES6+), HTML5, and CSS3.

·      Experience with RESTful APIs, GraphQL, and WebSocket integration.

·      Proficiency in modern build tools (Webpack, Vite, Babel, etc.).

·      Expertise in state management libraries (Redux, MobX) and React Query.

·      Solid understanding of UI/UX principles and responsive design.

·      Experience with testing frameworks (Jest, React Testing Library, Cypress, etc.).

·      Familiarity with modern CI/CD pipelines and version control tools (Git).

Responsibilities:-

• Extensive hands-on experience with frontend technology React Native.
• Build dynamic and reusable components using React Native
• Implement state management for better app performance.
• Use modern JavaScript features for efficient and maintainable code.
• Improve page load times with lazy loading, code splitting, and caching, while ensuring code quality through unit and integration testing.

Requirements:-

• 3-5 years of experience in frontend development working in a fintech industry, with a focus on highly scalable systems.
• Excellent leadership and communication skills, with experience managing teams of engineers and coordinating cross-functional efforts.
• Ability to solve complex problems under pressure, with a focus on delivering innovative solutions.
• Strong decision-making ability in fast-paced, dynamic environments.
• Self-motivated, proactive, and able to work independently while also collaborating in a team.

Key Responsibilities:

1. Customer Outreach & Relationship Management:

• Make outbound calls to potential and existing clients to inform them about the company's services, products, and offers.
• Assist customers with inquiries related to trading, investment products, depository services, etc.
• Provide timely updates and information to clients about the stock market and their portfolio.
• Follow up with leads and ensure customer satisfaction, encouraging long-term client relationships.

1. Product Information and Advisory:

• Explain different financial products, including equity, commodities, mutual funds, and more.
• Help customers understand stock market trends, investment strategies, and opportunities to increase their portfolio value.

1. Lead Generation:

• Generate quality leads by identifying potential clients and following up with them to convert into active traders and investors.
• Maintain an accurate database of clients and prospects.

1. Sales Support:

• Assist in the execution of sales campaigns, including promotions and offers.
• Track client interactions, sales activities, and report progress regularly.

1. Problem Resolution:

• Address customer concerns, complaints, or issues related to trading accounts, transactions, or market activities.
• Ensure timely resolution to enhance customer satisfaction and trust.

1. Compliance and Reporting:

• Adhere to company policies, regulatory guidelines, and compliance procedures while making calls and handling client accounts.
• Maintain detailed records of interactions and sales activities.

Requirements:

• Educational Qualification: Graduate (preferably in Finance, Commerce, or related field).
• Experience: 1-2 years in a telecalling or customer support role, preferably within the financial services industry (stock broking, mutual funds, etc.).

Carsome’s Data Department is on the lookout for a Data Scientist/Senior Data Scientist who has a strong passion in building data powered products.

Data Science function under the Data Department has a responsibility for standardisation of methods, mentoring team of data science resources/interns, including code libraries and documentation, quality assurance of outputs, modeling techniques and statistics, leveraging a variety of technologies, open-source languages, and cloud computing platform. 

You will get to lead & implement projects such as price optimization/prediction, enabling iconic personalization experiences for our customer, inventory optimization etc.

Job Descriptions

• Identifying and integrating datasets that can be leveraged through our product and work closely with data engineering team to develop data products.
• Execute analytical experiments methodically to help solve various problems and make a true impact across functions such as operations, finance, logistics, marketing. 
• Identify, prioritize, and design testing opportunities that will inform algorithm enhancements. 
• Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models and clean and validate data for uniformity and accuracy.
• Unlock insights by analyzing large amounts of complex website traffic and transactional data. 
• Implement analytical models into production by collaborating with data analytics engineers.

Technical Requirements

• Expertise in model design, training, evaluation, and implementation ML Algorithm expertise K-nearest neighbors, Random Forests, Naive Bayes, Regression Models. PyTorch, TensorFlow, Keras, deep learning expertise, tSNE, gradient boosting expertise, regression implementation expertise, Python, Pyspark, SQL, R, AWS Sagemaker /personalize etc.
• Machine Learning / Data Science Certification

Experience & Education 

• Bachelor’s in Engineering / Master’s in Data Science  / Postgraduate Certificate in Data Science. 

• Determine the appropriate approach for new software assignments
• Provide solutions to overcome complex problems using the latest technologies
• Developing high-quality and detailed designs, Identify, prioritize and execute tasks in the software development life cycle
• Proactively communicate with the client to get things done within the deadline.
• Develop tools and applications by producing clean, efficient code.
• Automate tasks through appropriate tools and scripting
• Provide high-level maintenance and update of an existing applications to improve functionality and process flow
• Oversee the maintenance of technical documentation of applications as architecture, code, and procedures

• 3+ Experience with RPA software (UiPath) (ONLY/MANDATORY)
• Experience in programming .NET (C# or VB), Java + Node.JS-based programming
• UiPath RPA Implementations and Working Knowledge: Studio, BOTs, Orchestrators, RE Framework and Three E2E Implementations as a Core RPA Developer.
• Skill with scripting languages such as VBA/VBS, Python, NodeJS and JavaScript
• Proficiency with Microsoft Power Platform, SQL and NoSQL database experiences
• Orchestrator configuration and component usage knowledge
• hands on experience of orchestrator queue and load distribution
• Proficiency with JIRA, Jenkins, Github, Artifactory and CI/CD development
• Excellent analytical and problem-solving skills, including business process expertise
• Experience developing design documents for automation processes