Sales Executive

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

1. 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

1. 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)
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• Convert JSON, logs, and raw API responses into structured feature tables
• Build regex/keyword-based parsers for financial SMS classification

1. 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

1. 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

1. 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

1. 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

1. 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

1. 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

Job Description – Full Stack Developer (React + Node.js)

Experience: 5–8 Years

Location: Pune

Work Mode: WFO

Employment Type: Full-time

About the Role

We are looking for an experienced Full Stack Developer with strong hands-on expertise in React and Node.js to join our engineering team. The ideal candidate should have solid experience building scalable applications, working with production systems, and collaborating in high-performance tech environments.

Key Responsibilities

• Design, develop, and maintain scalable full-stack applications using React and Node.js.
• Collaborate with cross-functional teams to define, design, and deliver new features.
• Write clean, maintainable, and efficient code following OOP/FP and SOLID principles.
• Work with relational databases such as PostgreSQL or MySQL.
• Deploy and manage applications in cloud environments (preferably GCP or AWS).
• Optimize application performance, troubleshoot issues, and ensure high availability in production systems.
• Utilize containerization tools like Docker for efficient development and deployment workflows.
• Integrate third-party services and APIs, including AI APIs and tools.
• Contribute to improving development processes, documentation, and best practices.

Required Skills

• Strong experience with React.js (frontend).
• Solid hands-on experience with Node.js (backend).
• Good understanding of relational databases: PostgreSQL / MySQL.
• Experience working in production environments and debugging live systems.
• Strong understanding of OOP or Functional Programming, and clean coding standards.
• Knowledge of Docker or other containerization tools.
• Experience with cloud platforms (GCP or AWS).
• Excellent written and verbal communication skills.

Good to Have

• Experience with Golang or Elixir.
• Familiarity with Kubernetes, RabbitMQ, Redis, etc.
• Contributions to open-source projects.
• Previous experience working with AI APIs or machine learning tools.

Strong Storyboarding Visualiser profile

Mandatory (Experience 1):Must have 2+ years of experience in designing/visualisation with experience in creating storyboards for animation, video, or marketing content

Mandatory (Experience 2):Must have experience in conceptualising visual stories, including interpreting scripts, briefs, or creative ideas into clear visual sequences

Mandatory (Experience 3): Must have experience in client/team management, coordinating with designers, animators, copywriters, and clients to ensure creative deliverables meet brand and project standards.

Mandatory (Tech Skills 1): Must have knowledge of motion graphics and video editing, including tools such as After Effects, Premiere Pro, or equivalent software, with an understanding of how storyboards translate into animation.

Mandatory (Tech Skills 2): Must have strong drawing and visual storytelling skills, with the ability to convey mood, movement, action, camera angles, transitions, and composition in both digital and traditional formats.

Mandatory (Portfolio): Strong portfolio/work samples showcasing storyboards, motion graphics, visual storytelling, or video/design projects. Portfolio should clearly demonstrate creativity, drawing ability, sequencing, and software proficiency.

Mandatory (Note1): Candidate must be flexible to work in shifts from 2 PM to 11 PM, aligning with team and client requirements

Mandatory (Note2): Work is going to be pre-production focused

THE IDEAL CANDIDATE WILL BE SOMEONE WHO IS HANDLING A (MIN) TOPLINE OF 100CR+

SOME MUST HAVEs

Bachelor’s or Master’s degree in Technology, Finance, Business Administration, or a related field from a premier institution (e.g., IITs, IIMs, ISB preferred) is advantageous, though exceptional track records will be considered.

Professional Experience: 15+ Years of Leadership experience with at least 5 years in P&L role. Significant executive experience in e-commerce, enterprise technology, or industrial distribution, with a proven record of scaling businesses and driving profitability.

Enterprise & Strategic Sales: Demonstrable success in building C-suite relationships, managing complex B2B sales cycles, and executing strategic account management.

Investor & Board Interaction: Experience in managing investor relations, fundraising, and engaging with board-level stakeholders.

Experience:

Minimum 15+ years of leadership experience with at least 5 years in P&L roles.

Industry: Looking for candidates from B2B platforms, enterprise technology, or industrial distribution sectors only

Education: Candidates from premier institutions are preferred but not mandatory if offset by an exceptional track record.

 Role Description

The Chief Executive Officer (CEO) will be the strategic architect and public face of Shakedeal, responsible for driving exponential growth, operational excellence, and market expansion. 

The ideal leader will have deep expertise in e-commerce, enterprise technology, or industrial distribution, with a strong track record in scaling high-growth organizations and building C-suite relationships in large enterprises. 

This role demands a performance-driven yet innovative leader who can cultivate an entrepreneurial culture and attract top talent in a competitive market.

Responsibilities

• You’ll also oversee paid search campaigns to ensure their success, and communication with clients to support their websites if needed.
• Candidate who is a skilled communicator and able to collaborate with various teams.
• Candidate must know to run Google ads, Linked ads, Facebook ads, Social media executive Google ads weekly report Facebook ads
• Develop and execute successful SEO , SMM strategies
• Proven experience as SEO Manager, SEM Manager or similar role
• Excellent communication skills
• Strong organizational and leadership skills
• Analytical mindset with numerical aptitude

We are looking for a highly organized and proactive Office Manager to oversee the daily administrative operations of our office. The ideal candidate will ensure smooth workflow, coordinate office activities, and support staff to enhance efficiency and productivity.

🎯 Key Responsibilities:

• Oversee and manage daily office operations and administration
• Maintain office supplies inventory and ensure timely procurement
• Handle correspondence, phone calls, and general inquiries
• Coordinate with vendors, service providers, and building management
• Schedule meetings, maintain calendars, and arrange appointments
• Support HR in maintaining employee records, attendance, and leaves
• Ensure office cleanliness, safety, and a well-functioning work environment
• Assist with basic bookkeeping and expense tracking (if required)
• Prepare reports, presentations, and documentation as needed
• Organize events, team meetings, and office celebrations

🛠 Requirements and Skills:

• Proven experience in office administration or management (1–3 years preferred)
• Excellent organizational and multitasking abilities
• Strong communication and interpersonal skills
• Proficiency in MS Office (Word, Excel, PowerPoint) and email tools
• Ability to handle confidential information with integrity
• Familiarity with basic accounting and procurement processes is a plus
• Graduate degree in any field (Business Administration preferred)

🎁 What We Offer:

• Competitive salary and performance-based incentives
• Supportive work environment and career growth opportunities
• Flexible working hours and leave policy (as applicable)
• Opportunities to work closely with leadership and contribute to decision-making

Responsibilities:

- Design, develop, and maintain highly interactive and responsive web applications using AngularJS 14.

-  Write clean, maintainable, and well-documented code that adheres to best practices.

- Leverage Tailwind CSS for rapid UI development and ensure consistent design across the application.

- Implement user interface components and features according to design specifications.

- Integrate with backend APIs and services to retrieve and manipulate data.

- Optimize application performance for a smooth user experience across all devices and browsers.

- Conduct unit testing and participate in integration testing to ensure code quality.

- Collaborate with designers, backend engineers, product managers, and other stakeholders throughout the development lifecycle.

- Stay up-to-date with the latest advancements in frontend technologies and frameworks.

-Contribute to the improvement of existing frontend development processes and documentation.

Qualifications:

-  Strong understanding of AngularJS 14 architecture, components, directives, and services.

-  Proficiency with HTML5, CSS3, and JavaScript (ES6+).

-  In-depth knowledge of Tailwind CSS and its utility classes for rapid UI development.

- Experience with responsive web design (RWD) principles and best practices.

- Understanding of web accessibility guidelines (WCAG).

- Familiarity with unit testing frameworks (e.g., Jasmine, Karma) is a plus.

-  Experience with build tools (e.g., Webpack) is a plus.

-  Excellent problem-solving and analytical skills.

-   Strong attention to detail and a passion for creating pixel-perfect user interfaces.

-   Excellent communication and collaboration skills.

A proactive and results-oriented individual with a strong work ethic.

• 4+ years of experience Solid understanding of Python, Java and general software development skills (source code management, debugging, testing, deployment etc.).
• Experience in working with Solr and ElasticSearch Experience with NLP technologies & the handling of unstructured text Detailed understanding of text pre-processing and normalisation techniques such as tokenisation, lemmatisation, stemming, POS tagging etc.
• Prior experience in implementation of traditional ML solutions - classification, regression or clustering problem Expertise in text-analytics - Sentiment Analysis, Entity Extraction, Language modelling - and associated sequence learning models ( RNN, LSTM, GRU).
• Comfortable working with deep-learning libraries (eg. PyTorch)
• Candidate can even be a fresher with 1 or 2 years of experience IIIT, IIIT, Bits Pilani, top 5 local colleges are preferred colleges and universities.
• A Masters candidate in machine learning.
• Can source candidates from Mu Sigma and Manthan.

Requirements:

• Experience in system automation development
• Good proficiency in the following coding languages: Python, C#, AutoIT, Batch scripting, Shell scripting
• Strong knowledge in OOPS
• Worked on REST and automation of API requests
• Worked on Loggers and Config Parsers
• Knowledge of Power shell commands, wmic commands and Registry Editor
• Worked on test deployment frameworks like Jenkins
• Experience in configuring and building jobs using Shell/Bash/Python
• Hands-on experience with Tools like :
• Scripting: Python, Visual Studio
• Configuration files: INI and JSON
• Operating System: Windows, Linux
• Source code management: GIT and Gerrit
• CI/CD: Jenkins
• Ticketing and Management: JIRA, ServiceNow, Confluence
• Good Communication skill
• Good Analytical and Problem-solving skills