Sales Manager | Odisha

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

Position Overview:

As a Shopify Developer, you will play a pivotal role in the development and customization of Shopify themes. Your expertise in HTML5, SASS/CSS3, and JavaScript, coupled with proficiency in VueJS or React, will drive the creation of dynamic and responsive web designs. Operating within EST and GMT work times, you will utilize CI/CD frameworks and pipelines to streamline development processes, emphasizing performance optimization techniques such as FCP, CLS, and LCP. Your familiarity with Shopify site architecture and integration with third-party apps like Algolia and Boost will enable you to implement custom solutions tailored to clients' needs.

Additionally, your strong grasp of Liquid code and Shopify JS APIs will facilitate troubleshooting and resolution of front-end technical challenges, ensuring cross-browser compatibility and adherence to performance budgets. Your ability to work both independently and collaboratively, coupled with a keen attention to detail and problem-solving skills, will be invaluable in driving the success of our projects. While certification and experience with Shopify Plus and API development are advantageous, your dedication to understanding technical architecture and delivering end-to-end project implementations will be key to your success in this role. 

Key Responsibilities:

• Expert in Shopify theme development and customization

• An expertise in HTML5, SASS/CSS3 and JavaScript and expertise with VueJS or React

• Willing to work on EST and GMT work time.

• Experience in CI/CD frameworks and using pipeline.

• Experience in Performance optimization, performance budget, FCP, CLS, LCP

• Experience of Shopify site Architecture and its custom integration with Third party apps like Algolia, Boost etc...

• Working knowledge in code optimization and improving site performance in shopify theme.

• Ability to understand anything that uses JSON REST/ GraphQL API.

• Proficiency in working with different Shopify JS APIs, Strong in Liquid code.

• Offering expertise in troubleshooting and resolution of front-end-related technical problems, guiding the team through complex technical challenges.

• A thorough understanding of Shopify admin/backend system and cross-browser compatibility issues

• A strong understanding of responsive web design techniques

• Should be able to do unit testing.

• Excellent problem-solving skills and attention to detail

• Ability to work independently and in a team environment

Required Qualifications:

• Shopify certification

• Experience with Shopify Plus store development.

• Strong in API development and customization, App Development using PHP/Laravel or any scripting language.

• Hands on experience in integrating API/web services.

• Shopify End to end project implementation.

• Ability to understand the technical architecture design of the solution

Job title: DLP Engineer

Work Location- Delhi

Experience- 2+ Years

Mandatory Requirements:

1- 2 years experience installing Forcepoint Cososys or Netskope.

2- Should have own conveyance.

Job Description:

· Deploy and configure DLP solutions such as Forcepoint, CoSoSys, or Netskope across endpoints, networks, and cloud environments.

· Customize DLP policies and rules to address organizational data security needs.

· Continuously monitor data flow and detect unauthorized access or data exfiltration attempts.

· Analyze DLP alerts and logs to identify potential threats and escalate as necessary.

· Develop, implement, and manage DLP policies to prevent data breaches and leaks.

· Integrate DLP solutions with other security tools, including SIEM.

· Provide technical support for DLP tools and resolve related issues promptly.

· Stay updated with the latest trends and advancements in DLP technologies, particularly Forcepoint, CoSoSys, and Netskope.

Working Days: 6 days working, Monday to Saturday (3rd Saturday off)

Job Role: Adaptive Autosar + Bootloader Developer

Mandatory Skills:

• Adaptive Autosar Development
• Bootloader Experience
• C++ Programming
• Hands-on experience with ISO 14229 (UDS Protocol)
• Experience in Flash Bootloader and Software Update topics
• Proficient in C++ and Python programming
• Application development experience in Service-Oriented Architectures
• Hands-on experience with QNX and Linux operating systems
• Familiarity with software development tools like CAN Analyzer, CANoe, and Debugger
• Strong problem-solving skills and the ability to work independently
• Exposure to the ASPICE Process is an advantage
• Excellent analytical and communication skills

Job Responsibilities:

• Engage in tasks related to the integration and development of Flash Bootloader (FBL) features and perform comprehensive testing activities.
• Collaborate continuously with counterparts in Germany to understand requirements and develop FBL features effectively.
• Create test specifications and meticulously document testing results.

Why Join InfoGrowth?

• Become part of an innovative team focused on transforming the automotive industry with cutting-edge technology.
• Work on exciting projects that challenge your skills and promote professional growth.
• Enjoy a collaborative environment that values teamwork and creativity.

🔗 Apply Now to shape the future of automotive technology with InfoGrowth!

Lead Software Engineer - Backend

It is evolving the way people discover the world by connecting them with exceptional experiences in their city at the push of a button. We are building a magical platform that gets everyone to head out and have fun in a matter of seconds; no matter where you are and what you want to do. We are combining a delightful product experience, data-driven decisions, sophisticated supply side logistics network, and world-class operations to solve a huge basic human problem: how do we have a good time?

We’re growing rapidly with over $200M in annualized sales, 150,000 monthly transactions and profitable unit economics. We are backed by some of the finest investors in Silicon Valley & India. 

We like to solve real-world problems in the simplest, most elegant manner possible. We’re looking for a QA Lead with the ability and passion for building solutions to people-centered problems that are created at the intersection of human behavior and technology. You should also be capable of building and mentoring a fast-growing passionate, young, and talented team. We love folks who have a sense of humor and know how to have fun.Dream, build and iterate. That's our mantra. Because good just isn't good enough.

👩‍💻 The Role

• Full responsibility of designing and building core modules on the application and infrastructure layer.
• Lead a fast-growing team of young, passionate, talented and fun loving superstars.
• Solve challenging architectural and design problems.
• Get your hands dirty with clustering, replication, databases, build systems and infrastructure automation etc.
• Be responsible for building concurrent, performant and scalable services which will power the entire Headout ecosystem.
• Build and contribute to open-source libraries and components.

🌟 Our Dream Engineer

• A penchant for learning and building with new technologies and frameworks.
• You love working with people and have worked in a lead position in the past.
• A knack for writing the most performance optimized code along with it being modular and scalable.
• No challenge is too big to solve; love thinking product and excited to ideate & build stuff all by yourself.
• You're interested in being an early employee at a growing company, with the influence and responsibility that entails.
• You have broad and deep knowledge across a variety of contemporary technologies.

💝 We like

• Strong CS fundamentals, good working knowledge of classic algorithms and data structures.
• 2+years experience developing server-side technologies using any language or framework.
• Excellent communication, collaboration and people management skills.
• Experience working with Spring, Relational Databases, Concurrent Programming, NoSQL flavors, AWS.
• Experience designing scalable, fault-tolerant systems and databases.
• Experience with setting setting up systems and infrastructure.
• Solid understanding of how the web works and its underlying communication protocols.
• People who can't live without solving that algorithm problem that they just stumbled upon.
• People who will give up anything to squeeze in that last bit-level performance.
• Anything else than can surprise us.
• Nice to Haves: An interest in travel, local experiences & hospitality.

Designation - DevOps Engineer

Urgently required. (NP of maximum 15 days)

Location:- Mumbai

Experience:- 3-5 years.

Package Offered:- Rs.4,00,000/- to Rs.7,00,000/- pa.

DevOps Engineer Job Description:-

Responsibilities

• Deploy updates and fixes
• Provide Level 2 technical support
• Build tools to reduce occurrences of errors and improve customer & client experience
• Develop software to integrate with internal back-end systems
• Perform root cause analysis for production errors
• Investigate and resolve technical issues
• Develop scripts to automate visualization
• Design procedures for system troubleshooting and maintenance

Requirements

• Work experience as a DevOps Engineer or similar software engineering role
• Work experience on AWS
• Good knowledge of Ruby or Python
• Working knowledge of databases and SQL
• Problem-solving attitude
• Team spirit
• BSc in Computer Science, Engineering or relevant field

• Defining, implementing and executing regression and stress automation tests focused on embedded software and device firmware level
• Analyzing automation test results for failures, identifying issue trends and quantifying impact
• Isolating and reporting defects effectively quantifying customer impact and verifying fixes through regression testing and other test methodologies
• Working cross-functionally with other QA teams, Developers and Project Managers

Desired Candidate Profile

• BE– CS/ECE, MS, ME, MTech
• 2+ years of QA experience, preferably on consumer hardware/ software products
• Automation experience in modern scripting or compiled languages (Python, JavaScript, C etc.)
• Experience with hardware and/ or software development lifecycle processes
• Knowledge of Unix and Unix shell scripting
• Ability to communicate technical concepts to a non-technical audience
• Deep understanding of SQA methodologies and practices
• Ability to solve hard problems with creative and sustainable solutions
• Be detail-oriented and strive for the best product for our customers
• Self-motivated with the ability to drive features to delivery
• Should have strong hands on experience in developing applications
• Strong analytical and problem solving skills
• Excellent oral and written communication skills
• Good logical sense, strong technical skills and the ability to learn new technologies quickly