
Must-Have Skills
- Minimum 3 years of experience in Data Engineering / Analytics Engineering / Fintech Data roles
- Must have worked on SMS Parsing, intelligent platform, converting RAW customer SMS data into structured actionable financial signals and enabling downstream usage of SMS derived variables
- Must have established a continuous learning cycle to expand parser coverage
- Experience in Lending / NBFC / Fintech domain
- Experience working with Bureau, SMS, Device, or Banking data
- Strong Python and SQL (production level)
- Experience handling unstructured data (SMS, logs, JSON, APIs)
- Experience building data pipelines, schedulers, and cron jobs
- Strong database design and data modelling skills
- Ability to work in a startup environment with high ownership
- Familiarity with modern platforms like AWS, Snowflake, Google BigQuery, Redshift
Good to Have
- Experience in STPL, especially less than 25K ticket size
- Experience with streaming (Kafka/Kinesis) and orchestration (Airflow or Step Functions)
- Experience with feature stores and risk analytics datasets
- Knowledge of regex, NLP basics for SMS parsing
- Experience supporting real-time decision engines/underwriting systems
Role Summary
This role will be responsible for owning the end-to-end data-structuring layer across the organisation. The individual will transform large volumes of raw, unstructured, and semi-structured data (such as SMS, device, bureau, and app data) into clean, standardised, and analysis-ready datasets. These structured datasets will directly power risk analytics, fraud detection, marketing insights, collections strategy, and policy decisioning.
Key Objective of the Role
Ensure all raw lending data (SMS, Bureau, Device, AA, App logs) is captured, parsed, structured, and stored in a clean analytics-ready format inside databases (PostgreSQL, DynamoDB, AWS stack) so that the Risk and Data Science team can directly use it for feature creation, policy building, and portfolio monitoring.
Core Responsibilities
- End-to-End Data Ownership
- Design, build, and maintain end-to-end data pipelines (batch + streaming) using AWS native services (Glue, Lambda, Step Functions, Kinesis, S3, Athena, Redshift, EMR/Spark, etc.): ingestion
→ parsing → structuring → storage
- Work closely with Tech, Product, and Data Science to define what data should be captured
- Maintain data documentation, data dictionaries, and schema governance
- Ensure data quality, consistency, and version control
- Unstructured Data Processing (Highest Priority)
- Parse raw SMS dumps and categorise into salary, EMI, loan apps, collections, credits, debits, OTP, etc.
- Process device fingerprint, behavioural logs, and vendor data (FinBox, AA, Bureau APIs)
- Convert JSON, logs, and raw API responses into structured feature tables
- Build regex/keyword-based parsers for financial SMS classification
- Feature Implementation (From Risk & Data Science Team)
- Implement feature creation logic provided by Risk/Data Science team
- Translate business and policy logic into SQL/Python pipelines
- Create reusable feature layers for underwriting, fraud, collections, and monitoring
- Maintain a feature store for consistent model and policy usage
- Lending Data Understanding (Domain-Specific Requirement)
- Work with Bureau data
- Structure SMS-derived financial variables (income, stress, EMI signals)
- Work with Account Aggregator and bank transaction datasets
- Understand fintech alternate data used in underwriting and fraud detection
- Data Pipelines & Automation
- Build and maintain ETL/ELT pipelines using Python & SQL
- Create cron jobs for automated data ingestion and feature refresh
- Automate vendor data pulls (Bureau, SMS SDK, AA, device data)
- Ensure low-latency pipelines for real-time underwriting use cases
- Database Structuring & Storage Architecture
- Structure clean datasets in PostgreSQL (analytics layer)
- Manage raw data storage in DynamoDB / S3 data lake
- Design normalized and denormalised tables for risk analytics
- Optimise database performance for large-scale query workloads
- Dashboards & Readable Data Layer
- Create analytics-ready datasets, implement & write Metabase queries and convert into dashboards (Metabase / Power BI)
- Enable self-serve data access for Risk, Business, and Founders
- Support ad-hoc analysis requirements from leadership
- Cross-Functional Collaboration (Very Important)
- The role requires close collaboration with data science, tech, product, and business teams to ensure reliable data pipelines, well-defined schemas, API integrations, logging architecture and high data quality, enabling faster and more accurate decision-making across lending workflows.
Tech Stack (Current Environment)
- AWS Services
- PostgreSQL (Primary analytics DB)
- DynamoDB (Raw/NoSQL storage)
- Python (Pandas, NumPy, ETL frameworks)
- Advanced SQL
- APIs, JSON, and Log Data Handling

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About the Role
SwitchKart is on a mission to make technology more accessible and more sustainable — we're in the business of recommerce, giving old smartphones a second life, cutting down e-waste, and extending the lifecycle of every device we touch.
We're looking for a Senior Full Stack Developer to help us build and scale the ecosystem of platforms powering this mission — from our procurement app to our retailer app, pricing engines, and warranty systems. You'll take ownership of complex features end-to-end, mentor junior engineers, and make architectural decisions that shape how we grow.
What You'll Do
• Own Features End-to-End: Design, build, and ship full stack features across our procurement, retailer, pricing, and warranty platforms — from database schema to UI polish.
• Drive Architecture: Make key technical decisions on system design, scalability, and code structure as our ecosystem of apps grows.
• Build AI-First: Design and build systems with AI at the core — not bolted on. Think about where AI can automate, assist, or enhance the products you're building from day one.
• Build Scalable Architecture: Build and monitor a highly performant, failure-resistant platform — we take pride in doing this with a small, high-ownership team.
• Automate and Integrate: Develop tools that automate our integration processes and build data pipelines across our app ecosystem.
• Foster Technical Excellence: Champion unit and integration testing and lead meaningful code reviews across the team.
• Prototype and Validate: Create interactive prototypes to prove out technical concepts and participate in pilots for new initiatives.
• Mentor the Team: Guide junior developers through code reviews, pairing, and technical direction.
• Report Upward: Provide regular updates to management on milestones, risks, issues, and mitigation plans.
• Collaborate Cross-Functionally: Work closely with product and design to translate requirements into robust technical solutions across multiple products.
What We're Looking For
Must Have
• 4+ years of full stack development experience
• Strong proficiency in React and Node.js
• Solid experience with PostgreSQL or MySQL — schema design, query optimisation
• Experience designing and scaling production systems
• Experience deploying and managing applications on a cloud platform (AWS/GCP or similar)
• Comfortable owning a feature from concept to deployment
• Strong debugging and problem-solving skills
Good to Have
• Experience mentoring or leading junior engineers
• Track record of driving scalability and time-to-market in past cloud architecture decisions
• Exposure to CI/CD pipelines
• Experience with Docker, NoSQL databases, or distributed caching
• Experience integrating third-party REST/SOAP APIs
• Experience in a fast-moving startup environment
Why SwitchKart
• Real ownership over architecture and technical direction.
• Access to the latest AI coding agents and tools — we invest in keeping our engineers on the cutting edge.
• Work on a genuinely differentiated business with measurable impact.
• Be part of a lean team where your decisions shape the product.
• Opportunity to mentor and grow the engineering team.
Key Responsibilities: -
• Counsel students and parents on academic programs, courses, and career
pathways.
• Understand student requirements and recommend suitable courses or programs.
• Handle inquiries via calls, emails, WhatsApp, and walk-ins.
• Assist students with the admission and enrolment process.
• Maintain accurate records of student interactions in CRM/ERP systems.
• Follow up with prospective students to ensure conversion and enrolment.
• Coordinate with academic and operations teams for smooth onboarding.
• Provide ongoing academic guidance and address student concerns.
• Meet assigned counselling and enrolment targets.
• Participate in seminars, webinars, and career guidance sessions.
Required Skills & Qualifications: -
• Graduate/Postgraduate in any discipline (Education background preferred), MBA,
Psychology, BBA
• Strong communication and interpersonal skills.
• Ability to understand student needs and provide appropriate guidance.
• Basic knowledge of academic programs, career options, and admissions
processes.
• Proficiency in MS Office and CRM tools.
• Target-driven with a student-centric approach.
We are looking for an iOS developer responsible for the development and maintenance of applications aimed at a range of iOS devices including mobile phones and tablet computers. Your primary focus will be development of iOS applications and their integration with back-end services.
Responsibilities
- Design and build applications for the iOS platform
- Ensure the performance, quality, and responsiveness of applications
- Collaborate with a team to define, design, and ship new features
- Identify and correct bottlenecks and fix bugs
- Help maintain code quality, organization, and automatization
Requirements
- Objective C
- Knowledge of Apple's Xcode IDE
- Swift
- UI and UX design experience
Experience - 1-2 years
Location - Indore
About the Organisation:
WeMakeScholars is an organization funded and supported by the Ministry of IT, Government of India under the 'Digital India Campaign'. We offer international education finance via scholarships and education loans, to study abroad aspirants. We are currently a 120 members team. Last financial year, we disbursed 2200 Cr in education loans to 8300 students across India.
We are looking for a PHP Developer who is keen to work in a startup environment esp. a product-based company.
Job Overview
We are hiring developers (from 0 to 10 experience) with relevant knowledge and experience with the development and deployment of large-scale cloud-native enterprise systems on PHP, REST APIs, Node Js, Flutter, AWS & MySql.
As a full-stack engineer, you will be working to create scalable, maintainable, bug repellent state of art web applications.
About Tech Department:
- Our internal tech team is responsible for end-to-end in-house tech support which includes and is not limited to design, development & deployment.
- We are continuously developing and improvising our products to enhance customer and team experience.
- As we are in the Fintech space, our team has to ensure the database security of the application.
Job Summary:
- Participate in the full development life cycle, working within broadly defined parameters including design, development, testing, and maintenance of the existing application with minimal supervision.
- Work on optimization and performance improvement activities. Instrument and test performance metrics.
- Participate in peer-to-peer code review to improve the quality and maintenance of the codebase.
- Collaboration with multiple internal/external stakeholders such as product, business, DBA, and Dev Ops.
- Design and implement APIs for web/mobile (both Andriod & iOS) applications.
- To be available on call for the projects or features developed by you. Things break, you will be responsible to fix it when it does.
Experience & Skills Required:
- 3+ years of experience (we are hiring freshers too for junior positions)
- Hands-on experience and knowledge of engineering end-to-end systems.
- Understanding of complete software development life cycle, including coding standards, code reviews.
- Familiarity with multiple software development practices and tools
- Ability to write clean, modular, and loosely coupled code by the use of design patterns.
- Proficiency in the implementation of algorithms and the use of advanced data structures to solve problems in computing.
- A solid foundation and implementing principles of computer science is a must. Ex: object-oriented programming, concurrency, fundamentals of computer science, SQL databases.
Value addition:
- Experience with AWS
- Working knowledge of payment gateways
- Good knowledge of Mysql Query optimization and Database design.
Exp-10 Years
Location Mumbai
Ready to work from Office
Permanent role
Role
Business Analytics/Data Analytics Lead
- Enable Business Transformation with Data Analytics by working with our big clients in major sectors such as Oil & Gas, Manufacturing, Retail, BFSI
- Partner business teams to understand the business area, work with the team to evolve and define the business problems, use-cases, translate the same into an analytical problem, design solution approach, define ROI, help execute to deliver relevant insights that lead to actions and business value.
- Connect business requirements with Technology solutions and be able to determine feasibility, technical gaps, size etc.
- Be able to define a project plan for the identified solutions, help hire and train technical resources, be the glue between Business team and the technical/implementation team
- Be proficient at solving ad hoc business problems, innovating on potential future solutions, and working with technology partners to build solutions and/or creative approaches to solve ‘one of a kind’ problems.
- Embed tested solutions to make them business as usual and help quantify value benefits from analytics.
- Be creative and a committed problem-solver using Data and Advanced analytics skill alongside leadership and direct engagement of business leaders.
- Be a trusted advisor to the client CxOs/leadership team in evangelising the use of Data & Data Science in business decisions. Help accelerate the organisation journey to become data driven.
- Provide input during development and implementation phases, including formulation and definition of systems scope, objectives and necessary system enhancements for complex, high-impact projects
- Work with development and testing teams to deliver solutions and support UAT
- Identify and communicate risks and impacts and propose risk mitigation options, considering business implications of the application of technology to the current business environment.
Qualifications
- 10+ years experience in technology/project management/product management/solution delivery
- 4+ years of relevant work experience in roles partnering in Data Analytics related use-cases and solutions resulting in significant cost, productivity and/or quality gains for the business
- Bachelors degree in a relevant technical field (Computer Science, IT, Statistics, Business Analytics or similar). MBA preferred
· Experience of specifying and writing business requirements and suggesting appropriate solutions in the field of Data Analytics/AI
- Prior industry experience in defining/creating Data Analytics solutions in one or more of Oil & Gas, BFSI, Manufacturing, Retail sectors.
- Strong preference for experience in setting up & managing analytics / data products / platforms & leading change management.
- Be able to articulate and have a keen eye on the value that Data Analytics, AI, Machine Learning, Data Lake/Catalogue can bring to organizations
- Ability to communicate complex quantitative insights in a precise, and actionable manner
- Strong communication skills and ability to work with peers & senior stakeholders demonstrating strong vertical and lateral influence.
- Working knowledge of Analytics tools such as PowerBI, Tableau, AI modelling such as Regression, Classification, and Time Series Problems.
- Experience building insights from analytics & telling data stories
- Passion for empirical research and for answering hard questions with data
Job description
Write clean, well-designed code
Should have leadership skills
Solve complex performance problems and architectural challenges
Strong knowledge of PHP web frameworks Codeigniter, CakePHP, MVC, etc...
Working knowledge of web services, APIs, JSON
Good with Database designs for fairly complex web applications Strong exposure to writing database queries, preferably MySQL
Understanding fundamental design principles behind a scalable application
Required Candidate profile
You should be able to use HTML5,CSS3, jQuery, JavaScript, AngularJS, Core PHP, MySQL, Laravel, CodeIgniter, Bootstrap, Google API to develop and maintain software applications according to individual specifications. Projects will include different type of technologies and vast exposure to new and emerging technologies.
Good Experience in Framework ( Laravel, codeigniter)
Immediate Joining
IT Company
5.5 Days Working
vegamoontech.com
About Company
Couture AI Platform provides Pluggable Building Blocks to entire
AI stack, which are used to build and productionize varied
enterprise ML and deep learning use cases. It has enabled some
of largest global organizations implement specific vertical
targeted products build on top of its proprietary AI platform.
Nature of Business Artificial Intelligence Platform
Company Website www.couture.ai
Job Designation Product Manager - Decision Science
Job Location Bengaluru
Job Description &
Skills Required
Basic Qualifications:
• Bachelors (+Masters preferred) in Computer
Science/Mathematics/Research (Machine Learning, Deep
Learning, Statistics, Data Mining, Game Theory or core
mathematical areas) from Tier-1 institutes (IITs, IISc, BITS, IIITs,
top-ranked global Universities) with good individual academic
score.
Looking for decision science managers.
• Strong working knowledge of deep learning, machine
learning, and statistics.
- Domain understanding of Personalization, Search, Visual
and Videos.
• Expertise in using Python, statistical/machine learning libs.
• 5+ years of hands-on experience defining large scale AI
solutions and its deployment for millions of customers.
• Expertise with understanding the raw data, data
transformation and feature selection.
• Expertise with understanding of metric-driven impact-analysis
of the AI solutions.
• Ability to think creatively and solve problems.
Key Responsibilities:
• Take ownership of end-to-end engagement from defining to
delivering the business requirements, working with various
stakeholders within Couture AI and customers.
• Create feedback loops to generate the product roadmaps.
• Formulate the appropriate predictive, analytic, ML or Deep
learning solutions leveraging Couture AI Platform.
• Carry out a cost benefit comparison of various solutions, not
only driven by analytical rigor of the solutions, but also the
pragmatic aspects of deployment, data and adoption cost.
• Work with platform and tech teams to implement the
solutions.
• Drive adoption of the Couture AI Platform solutions via
demonstrating improvement in success metrics and interfacing
with business partners from other teams.
• Building business cases and models to quantify new
opportunities, using data and solid business judgment.
- Identify bad code practices in Scala and write new analyzers to detect them.
- Improve the coverage of automatically fixable issues.
- Ensure fewer false-positives are reported by the analyzer.
- Work on the internal tools that support analysis runtimes.
- Contribute to open-source static analysis tools.
We’re looking for someone who has:
- Strong foundational knowledge in Computer Science.
- At least 3 years of professional software development experience in Scala and Java.
- Understanding of the nuances of execution of the source code (AST, data flow graphs, etc).
- Familiarity with Scala best practices followed in the industry.
- Native experience with Linux/Unix environment.
- A focus on delivering high-quality code through strong testing practices.
Requirements:
- 3+ years of full stack development for high volume mobile applications.
- Strong experience in popular Node.js, Express. JS, React. JS, React Native and npm modules.
- Strong experience in JavaScript development.
- Experience with building RESTful services.
- Experience on working on the MicroService based Architecture
- Ability to architect complex web applications using frameworks and APIs.
- Experience in designing the HTML pages using React. JS.
- Good understanding of Design Patterns. Good analytical & debugging skills.
- Experience with NOSQL DB & tools such as MongoDB, Redis, Cassandra and Kafka.
To design, architect, develop and maintain the backend for AI products by working closely with the Deep Learning team. To ensure successful consumption of HyperVerge technology by customers through the creation of APIs, SDKs or Applications, thereby enabling productization and monetization of the Deep Learning solutions.
OUTCOMES EXPECTED:
- Interfacing with the customer, tech team members, project managers and other relevant product people for a thorough understanding of the product, use case and business objective, detailed specification and data flow for the requirement, demonstration of the solution and clarification of queries at appropriate times during the life-cycle of the product
- Preparing test cases, setting up CI/CD and integration with logging and monitoring systems for the products or platforms by the end of 6 months
- Seeking customer feedback to continuously optimize the product for great customer experience and high technical performance in areas such as hardware efficiency, latency and throughput
- Delivering a robust backend platform for the products and platforms by incorporating important considerations regarding minimal downtime, high availability, data redundancy, tight security, etc. into the design
COMPETENCIES:
Analytical and Problem Solving Skills
- Has high grasping power. Able to quickly and proficiently understand and absorb qualitative or quantitative data and draw insightful conclusions from it. Exhibits a probing mind and achieves penetrating insights. Attention to detail. Does not let important details slip through the cracks and derail a project. Generates new and innovative approaches to problems.
Efficiency and Execution
- Able to produce significant output with minimal wasted effort in a timely manner. Focuses on key priorities.
Hard Work and Persistence
- Possesses a strong willingness to work hard and sometimes long hours to get the job done.
- Demonstrates determination and willingness to go the distance to get something done.
Flexibility and Adaptability
- Adjusts quickly to changing priorities and conditions. Copes effectively with complexity and change. Demonstrates ability to learn new things.
Calm under Pressure
- Maintains stable performance when under heavy pressure or stress.
Team Player
- Reaches out to peers and cooperates with supervisors to establish an overall collaborative working relationship. Works proactively without always being told what to do.











