SEO 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

Senior Full Stack Developer (React/Node.js) – Hyderabad / Remote India

Experience

5-10 years

Employment Type

Full-time

Location

Hyderabad (Hybrid) or Remote within India.

Compensation

₹8-30 LPA depending on experience and skill.

About Us

We are an AI-first technology startup building modern web and mobile solutions for global customers. We value technical excellence, ownership, curiosity, and continuous learning.

Excellent spoken English is NOT mandatory. If you are technically strong and eager to learn, we encourage you to apply.

Must Have Skills

• React.js
• TypeScript
• Node.js
• Next.js
• REST APIs
• SQL databases
• Git
• CI/CD
• AWS, Azure or GCP
• System design fundamentals

Good to Have

• Java & Spring Boot
• Python
• Flutter
• Docker & Kubernetes
• AI tools (ChatGPT, Cursor, Copilot, Claude)
• Event-driven architecture

Responsibilities

• Build scalable applications.
• Design APIs and microservices.
• Participate in architecture decisions.
• Mentor junior developers.
• Leverage AI to improve engineering productivity.
• Collaborate with global teams.

We Care More About

• Problem-solving.
• Ownership.
• Learning ability.
• Writing clean code.
• Curiosity.

We Do Not Require

• Perfect spoken English.
• Fancy degrees.
• Experience in every technology listed.

Cygner Technolabs Pvt. Ltd. is a dynamic and innovative IT company dedicated to delivering cutting-edge solutions to our clients worldwide. We are seeking a talented and experienced PHP Developer to join our growing team.

Roles & Responsibilities:

·      Develop and maintain PHP based web applications.

·      Collaborate with cross-functional teams to define, design, and implement new features.

·      Maintain and enhance existing web applications.

·      Troubleshoot, debug, and optimize code to ensure optimal performance.

·      Stay updated on emerging industry trends and technologies.

Skills Required:

·      Proven experience as a PHP Developer or similar role.

·      Strong proficiency in PHP and MySQL.

·      Knowledge of front-end technologies such as HTML, CSS, and JavaScript.

·      Familiarity with version control systems (Git).

·      Understanding of database design and optimization.

·      Excellent problem-solving and communication skills.

·      Ability to work both independently and collaboratively in a team environment.

Required Experience: 1+ Year

Preferred Location: Rajkot

Educational Qualification: BE Computer Science, BE IT, B Tech Computer, M Tech Computer, MCA, BCA, M.Sc. IT, B.Sc. IT or a related field.

Must have:-

Locust
jMeter
Core Java
Selenium Webdriver with java
Rest Assured Library
API Testing - using postman & Rest Assured Library
SQL

Hands on experience REST service.

Experience Level:- 2.5 to 4.5 years