11+ Data profiling Jobs in Mumbai | Data profiling Job openings in Mumbai

Role & Responsibilities

Key Responsibilities

• Manage and improve master data across customer, product, entitlement, account hierarchy, product catalog, subscription, contract, billing, and revenue domains.
• Configure and support MDM platform capabilities, including data models, match and merge rules, survivorship rules, hierarchy management, validation rules, workflows, reference data, and data quality rules.
• Support integration of master data between MDM platforms and operational systems such as Salesforce CRM, Salesforce CPQ, Salesforce Revenue Cloud, billing, ERP, data lake, and reporting platforms.
• Assist with customer golden record creation, account hierarchy management, deduplication, data standardization, and Customer 360 enablement.
• Support product taxonomy and product catalog data needed for CPQ bundles, pricing rules, eligibility rules, commercial BOMs, and quote-to-cash automation.
• Maintain entitlement and subscription data, including customer-to-product mappings, lifecycle status, renewals, amendments, upsells, and install base visibility.
• Perform data profiling, cleansing, reconciliation, validation, issue resolution, and root-cause analysis across multiple systems.
• Document data definitions, business rules, source-to-target mappings, lineage, stewardship processes, and remediation actions.
• Partner with Sales Operations, Revenue Operations, Finance, Product Operations, Customer Success, IT, Data Governance, and Enterprise Architecture teams.

Ideal Candidate

• Strong Master Data Management (MDM) Specialist Profile.
• Mandatory (Experience 1) – Must have 3+ years of experience in Master Data Management (MDM), Data Governance, Data Quality, Data Operations, Revenue Operations, Sales Operations, Product Operations, or Enterprise Data Management roles.
• Mandatory (Experience 2) – Must have hands-on experience working with an enterprise MDM platform such as Informatica MDM, Informatica IDMC, Reltio, or any comparable Master Data Management solution.
• Mandatory (Experience 3) – Must have strong experience managing one or more master data domains including Customer Master, Product Master, Product Catalog, Account Hierarchy, Subscription, Contract, Billing, Revenue, Entitlement, or Reference Data.
• Mandatory (Experience 4) – Must have working knowledge of business processes such as CRM, CPQ, Quote-to-Cash (QTC), Order-to-Cash (OTC), Billing, Entitlement Management, Subscription Management, Contract Management, or Revenue Operations.
• Mandatory (Experience 5) – Must have strong understanding of core MDM concepts including Golden Record Creation, Match & Merge Rules, Survivorship Rules, Reference Data Management, Hierarchy Management, Data Stewardship Workflows, Data Quality Rules, and Cross-System Data Synchronization.
• Mandatory (Experience 6) – Must have hands-on experience in data profiling, cleansing, standardization, deduplication, validation, reconciliation, remediation, and data quality improvement initiatives.
• Mandatory (Hike) - AUXO AI follows a compensation policy of offering up to 25% hike on the candidate's current CTC. Candidates whose expectations exceed this range should be screened out during the initial discussion.
• Mandatory (Note) - Only immediate joiners who are available to join within 15 days are considered.
• Mandatory (Domain) – Must have experience working in SaaS, Subscription-based Businesses, Technology Companies, Enterprise Software Organizations, Cloud Product Companies, or Digital Platforms.
• Preferred (Salesforce Ecosystem) – Experience working with Salesforce CRM, Salesforce CPQ, Salesforce Revenue Cloud, Sales Cloud, Service Cloud, or Customer 360 implementations.
• Preferred (MDM Products) – Experience with Informatica Customer 360, Product 360, Reference 360, Cloud Data Quality, Cloud Data Governance, Reltio Connected Data Platform, or Reltio Data Cloud.
• Preferred (Integration Experience) – Experience integrating MDM platforms with Salesforce, CPQ, Billing Systems, ERP Applications, Data Warehouses, Data Lakes, Lakehouse Platforms, or Enterprise Reporting Solutions.

Sales Engineer

Location: Ghatkopar

Department: Sales and Marketing

Salary range: Negotiable

Experience: 2 and above (Food and Beverages)

Qualification:

 Diploma or Graduation in any Engineering field

Skills:

 Business acumen

 Excellent communication skills

 Commercial awareness

 Self-motivation

 Negotiation skills

 Networking skills & Relationship building

 Ability to work independently.

 Problem-solving skills

 Ability to travel extensively.

Key Responsibility:

 The Sales Engineer shall aim to maximize profits through the implementation strategies.

 Analysing and investigating customer requirement, demand and competition

 Devising and presenting ideas and strategies

 Marketing activities like providing presentation and technical know-how to the probable end-

users

 Follow-up enquires & monitoring customer satisfaction throughout business cycle.

 Field work and should work on Targets.

 Develop a thorough understanding of customer needs.

 Monitor and report on sales performance and customer feedback.

 Review and respond to customer inquiries and complaints.

 Represent the company at trade fairs, exhibitions, and industry conferences to generate new

leads and enhance brand visibility.

 Manage sales and customer service activities.

🚨 We’re Building a “Top 1% Engineering Org”

We’re building a high-talent-density, AI-first R&D organization from scratch — inside a publicly listed company undergoing a full-scale transformation.

Think:

→ Rewriting legacy systems into AI-native architectures

→ Embedding LLMs + Agentic AI into core workflows

→ Reimagining platforms, infra, and data systems for the next decade

This is the kind of shift you’d expect from Google, Microsoft, or Meta —

Except you get to build it from day 0 → scale it globally.

About the Role / Team

We are building a next-generation AI-first R&D organization in Bengaluru, focused on solving complex problems across LLMs, Agentic AI systems, distributed computing, and enterprise-scale architectures.

This initiative is part of a publicly listed global company investing heavily in AI-driven transformation, re-architecting its platforms into intelligent, autonomous systems powered by large language models, workflows, and decision engines.

You will be working on:

• Agentic AI systems & LLM-powered workflows
• Distributed, scalable backend systems
• Enterprise-grade AI platforms
• Automation-first engineering environments

🚀 The Mandate

Own and evolve the technical backbone of an AI-first enterprise platform.

You will define architecture across LLM-powered systems, distributed services, and data platforms — and lead critical transformations from legacy → AI-native systems.

🧩 What You’ll Do

• Architect large-scale distributed systems powering AI-driven workflows
• Lead 0→1 and 1→N platform builds (LLM integrations, agentic systems, orchestration layers)
• Redesign legacy systems into scalable, modular, AI-native architectures
• Drive system design excellence across teams (APIs, infra, observability, reliability)
• Make high-stakes decisions on trade-offs (latency, cost, scalability, model performance)
• Mentor senior engineers and influence engineering culture/org standards
• Partner with product, data, and leadership on long-term technical strategy

🧠 What We’re Looking For

• Proven track record building high-scale backend or platform systems
• Deep expertise in distributed systems, microservices, cloud (AWS/GCP/Azure)
• Strong exposure to data systems/infra / Data / real-time architectures
• Experience or strong interest in LLMs, GenAI, or AI system design
• Exceptional system design, abstraction, and problem-solving ability
• High ownership mindset — you think in terms of systems, not tickets
• Strong coding skills in Python / Java / Go / Node.js
• Solid understanding of data structures, system design basics, and backend architecture
• Experience building scalable APIs and services
• Familiarity or curiosity around AI/LLMs, async systems, or event-driven design
• Strong debugging, problem-solving, and ownership mindset
• Solve hard system problems (latency, scale, reliability)
• Drive cross-team technical decisions and standards
• Mentor senior engineers and influence org-wide architecture 
• Design large-scale distributed systems and backend platforms
• Mentorship & Technical Leadership 
• Expertise in system design, scalability, and performance optimization

Nice to Have

• Experience integrating LLMs, vector databases, or AI pipelines
• Contributions to architecture at scale
• Experience with Agentic AI / LLM orchestration frameworks
• Background in product engineering or platform companies
• Exposure to global-scale systems (millions of users / high throughput)

🔥 What Sets You Apart

• Built platforms used by millions of users / high-throughput systems
• Experience with event-driven systems, stream processing, or infra platforms
• Prior work on AI/ML platforms, model serving, or intelligent systems

Criteria

Mandatory

Strong Dremio / Lakehouse Data Architect profile

Mandatory (Experience 1) – 5+ years of experience in Data Architecture / Data Engineering, with minimum 3+ years hands-on in Dremio

Mandatory (Experience 2) – Strong expertise in SQL optimization, data modeling, query performance tuning, and designing analytical schemas for large-scale systems

Mandatory (Technical Skills 1) – Deep experience with cloud object storage (S3 / ADLS / GCS) and file formats such as Parquet, Delta, Iceberg along with distributed query planning concepts

Mandatory (Technical Skills 2) – Hands-on experience integrating data via APIs, JDBC, Delta/Parquet, object storage, and coordinating with data engineering pipelines (Airflow, DBT, Kafka, Spark, etc.)

Mandatory (Architecture) – Proven experience designing and implementing lakehouse architecture including ingestion, curation, semantic modeling, reflections/caching optimization, and enabling governed analytics

Mandatory (Governance) – Strong understanding of data governance, lineage, RBAC-based access control, and enterprise security best practices

Mandatory (Stakeholder Management) – Excellent communication skills with ability to work closely with BI, data science, and engineering teams; strong documentation discipline

Mandatory (Company) – Candidates must come from enterprise data modernization, cloud-native, or analytics-driven companies

Position Title: Sales Specialists

 Location: PAN India (*Tier 1, Tier 2, Tier 3)

 Salary Range: 4 LPA to 5.5 LPA (includes performance bonus of 1 lac)+ IncenƟves+ Perks+ TA+ DA

 EducaƟon: Bachelor's degree in any stream or Master's degree/MBA

Key Responsibilities:

1. As a Sales Specialist/ExecuƟve, the candidate will be required to be in the field daily, engaging with potential clients, and generaƟng new business opportunities through personal visits, emails, and calls

and other field activities.

2. Build and maintain strong relaƟonships with new customers.

3. Present tailored solutions for endpoint protecƟon & network.

4. Focus on achieving the Individual target for Retail & SME.

5. Provide exceptional customer service and support throughout the sales process.

Engineering Manager – Backend

Opportunity in this role / Why should you join us?

Series D funded supply chain startup.

Requirements

• Software engineering experience of greater than or equal to 7 years
• Experience managing a technical team of at least 3 people
• Exposure to consumer facing products
• Strong technical background and ability to contribute to design and review
• Familiarity with our tech stack or an analogous tech stack

Technologies Used

• Web application frameworks : Ktor, Spring Boot, Ruby on Rails, Node.js, Java Play, AWS Lambda
• Languages : Kotlin, Java, Ruby, Javascript, Python
• Datastores : PostgreSQL, Aerospike, Redis, DynamoDB, Amazon Redshift
• Communication : HTTP, Amazon SQS, Sidekiq, Amazon SNS
• Server management : Amazon ECS, Docker
• Design frameworks : Domain Driven Design, Clean Architecture, Layered Architecture

Roles and Responsibilities

This role requires a person to drive the engineering of a set of products by aligning with business and product

stakeholders and building and upskilling a team to aid in this. The responsibilities include:

Business and product alignment and planning

• Work closely with business and product stakeholders to understand and align with product initiatives and iterations.
• Help shape the engineering requirement by aligning with the product manager and fleshing out concepts and user flows.
• Formalize business requirements into roadmaps and sprints.

1. Product and system development

• Drive high level modeling and design for projects, also focusing on non-functional aspects, including but not limited to database design, communication protocols, deployment systems, etc.
• Drive adoption of design frameworks like domain driven design, clean architecture, etc., resulting in a robust layered architecture.
• Drive good code review practices, using the review process as a mentoring tool to upskill people.
• Ensure test coverage of systems, partly through unit and integration testing, and partly through blackbox testing by collaborating with the Quality Assurance team, via good testing practices.

1. Project Management

• Drive the execution of the project by delegating tasks effectively.
• Resolve blockers through technical expertise, negotiation and delegation.
• Estimate timelines and ensure adherence to them through effective sync-ups and course corrections.

1. Maintenance

• Formulate SLAs and oversee their adherence for the various systems, effectively tracking issues and performance inefficiencies.
• Performance monitoring and optimization for systems.
• Drive technical re-design, remodeling and refactoring of systems for robustness and sustainability.

1. Team Management

• Typically manage a team of 3 - 6 members and a portfolio of 3 - 6 products.
• Do periodic assessment of reportees, chart their career growth paths and train them.
• Recruit members into the team by collaborating effectively with the recruitment team.

Product Overview

You will be contributing to products concerning both customers and partner drivers. Product sectors

include:

• Growth : You’ll build tools to help boost user growth on the platform including our industry bestdriver on-boarding, training and certification system, referral system, and lead managementmmodels.
• Lifecycle Management : Build tools to help users engage with the platform better, which includes rewards and recognition module, subscription service, account management tools, partner and customer wallets and payout modules, and churn detection systems among others.
• Transaction Experience : You’ll help deliver the most delightful booking experience to our customers and drivers. As part of this team, you’ll be responsible for our core booking system, pricing and payment systems, location tracking and filtering services, fraud prevention systems, and in-app ticketing and support among others.
• Fulfilment : As part of the fulfilment team, you’ll work on systems which ensure high degree of ride fulfilment on the platform. Tools including allocation methodologies and system, dynamic pricing, dynamic partner routing, and partner re-activation tools among others.
• Enterprise Solutions : You’ll help Porter’s enterprise customers achieve delivery excellence. You’ll build tools for contract management, fleet management, fleet and route optimisation tools, alerting and monitoring tools, and analytics suite among others.

1. New Business Development: Identify and target potential clients, including individual investors and financial advisors, through various channels. Generate high-quality leads, conduct market research, and convert leads into paying customers. Utilize a consultative sales approach to understand client needs and effectively communicate the value proposition of MProfit's wealth-tech solutions.

2. Sales Pipeline Management: Build and manage a robust sales pipeline to achieve individual and team sales targets. Track and report on sales activities, opportunities, and progress using our CRM systems. Continuously update and prioritize leads to ensure a steady flow of qualified prospects. Implement effective sales strategies to accelerate the sales cycle.

3. Relationship Building: Establish and nurture strong, long-lasting relationships with clients and key stakeholders. Engage in regular client meetings, follow-ups, and negotiations. Proactively identify opportunities to up-sell and cross-sell MProfit's products and services. Provide exceptional customer service and resolve any issues or concerns raised by clients promptly and effectively.

4. Collaboration and Teamwork: Collaborate closely with the customer service team, marketing team and other internal stakeholders to align sales strategies, share best practices, and contribute to the overall growth of MProfit. Provide valuable feedback from clients to enhance product features and market positioning. Actively participate in team meetings and training sessions to stay updated on industry trends and sales techniques.

Software Programmer - PHP 

About us 

GRG India is a leading provider of end-to-end loyalty management services in India. We help large and mid-size companies acquire, engage, retain and influence their customers, employees and channel partners. Our clients include some of India’s top brands across BFSI, FMCG, Construction, IT, Agro Chemicals, and Automotive industries. 

Following are examples of what we do: 

• Design a mechanic loyalty program for a large auto ancillary company, wherein the mechanic gets incentivized every time he influences the vehicle owner to buy original OEM spare parts 
• Send promotional offers to customers of large banks to make them use specific banking channels (e.g. Net Banking, Mobile App etc.) or products (e.g. Remittance, Loans etc.) 
• Acquire and grow the customer base of a large MNC agro chemical company by using farmer referral programs and instant gratification rewards 
• Engage HNI customers of a large real estate company with high-end exclusive benefits, privileges, and rewards 

• Assist one of India’s top credit card issuing companies to reduce employee attrition and increase sales across multiple sourcing channels 

With a reputation that’s been built over a decade of providing successful loyalty management solutions, we’re now embarking upon a journey of creating highly modular, scalable, and mostly standardized products.  

We have recently launched a SaaS product  Let’s Buzzz, an employee engagement platform that helps drive performance and innovation at the workplace. It is a comprehensive product designed to empower business. from accelerating employee engagement to helping appreciate good work and motivating employees to deliver on business objectives.  

Reports to 

AVP - Technology 

3 best things about the job 

• Work in a rapidly evolving industry where scalable tech products have a huge impact 
• Work in a product environment which provides a greater scope for growth 
• Exposure to different technologies and frameworks 

Responsibilities of the role 

• Develop Web/App based solutions in PHP and PHP based frameworks (CodeIgniter/Laravel) having a Service Oriented Architecture (REST/SOAP) 
• Work on integration of 3rd Party libraries as required by the product 
• Unit-testing code for robustness, including edge cases, usability, and general reliability 

• Ensure the quality of the end product while adhering to quality norms 
• Creating Technical documentation wherever applicable 
• Collaborate with cross-functional teams to define, design, and ship new features 
• Take part in requirement understanding and contribute to solution of the requirement 

What you will need  

• Should have a sound experience in PHP, MVC Frameworks, Code Igniter. 
• Strong grasp in web development open source: CSS, HTML5, PHP, MySQL, JavaScript, jQuery, AJAX & JSON 
• Working knowledge of MySQL databases 

• Good knowledge of relational databases, version control tools and of developing web 
• Knowledge of Angular JS, Node JS will be considered as an added advantage 

Key Responsibilities :

- Take on development of key modules in the application
- You will be responsible for day-to-day development tasks across the Software Development Life Cycle assigned to your team.
- Development of application framework components
- Allocation of development tasks to the team
- Code review on a regular basis and ensuring code quality and adherence to company coding standards.

Required Technical Skills :

Angular :

- Modules, components basic architecture
- Typescript in depth
- Reactive forms
- CRUD operations in paged tabular listing
- Validation and error handling in Angular
- Security concepts like JWT based authentication, oAuth with social platforms, route guards, role driven menu
- Server-side rendering (SSR) with Angular Universal
- PDF making and email sending using SSR
- Localization and internationalization

ASP.Net C# Web API :

- Controllers
- Models with validation attributes, custom validations
- Asynchronous programming
- Error handling and logging
- Server side UI table operations - sorting, searching, paging, page sizing
- Entity framework with database first approach, edmx designer 
-React JS, Angular JS

SQL Server :

- Tables, views, stored procedures, functions
- Optimizations - keys, indexes, partitions
- Working with XML/JSON data

HTML/CSS :

- JavaScript/jQuery, CSS 3.0/Less/SCSS,
- Bootstrap
- Responsive design

Nactus is at forefront of education reinvention, helping educators and learner’s community at large through innovative solutions in digital era. We are looking for an experienced AI specialist to join our revolution using the deep learning, artificial intelligence.  This is an excellent opportunity to take advantage of emerging trends and technologies to a real-world difference.

Role and Responsibilities

• Manage and direct research and development (R&D) and processes to meet the needs of our AI strategy.
• Understand company and client challenges and how integrating AI capabilities can help create educational solutions.
• Analyse and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards.

Skills Required

• Knowledge of algorithms, object-oriented and functional design principles
• Demonstrated artificial intelligence, machine learning, mathematical and statistical modelling knowledge and skills.
• Well-developed programming skills – specifically in SAS or SQL and other packages with statistical and machine learning application, e.g. R, Python
• Experience with machine learning fundamentals, parallel computing and distributed systems fundamentals, or data structure fundamentals
• Experience with C, C++, or Python programming
• Experience with debugging and building AI applications.
• Robustness and productivity analyse conclusions.
• Develop a human-machine speech interface.
• Verify, evaluate, and demonstrate implemented work.
• Proven experience with ML, deep learning, Tensorflow, Python