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

Job Responsibilities:

Excellent problem solving and analytical skills - ability to develop hypotheses,

understand and interpret data within the context of the product / business -

solve problems and distill data into actionable recommendations.

 Strong communication skills with the ability to confidently work with cross-

functional teams across the globe and to present information to all levels of the

organization.

 Intellectual and analytical curiosity - initiative to dig into the why, what & how.

 Strong number crunching and quantitative skills.

 Advanced knowledge of MS Excel and PowerPoint.

 Good hands on SQL

 Experience with in Google Analytics, Optimize, Tag Manager and other Google Suite tools

 Understanding of Business analytics tools & statistical programming languages - R, SAS, SPSS, Tableau is a plus

 Inherent interest in e-commerce & marketplace technology platforms and

broadly in the consumer Internet & mobile space.

 Previous experience of 1+ years working in a product company in

a product analytics role

 Strong understanding of building and interpreting product funnels.

Perquisites & Benefits:

 Opportunity to work with India's no.1 crowdfunding platform

 Be a part of a young, smart and rapidly growing team with management from Ivy League and Premier colleges

 Competitive compensation and incentives

 Fun, casual, relaxed and flexible work environment

Senior Cloud & ML Infrastructure Engineer

Location: Bangalore / Bengaluru, Hyderabad, Pune, Mumbai, Mohali, Panchkula, Delhi

Experience: 6–10+ Years

Night Shift - 9 pm to 6 am

About the Role:

We’re looking for a Senior Cloud & ML Infrastructure Engineer to lead the design,scaling, and optimization of cloud-native machine learning infrastructure. This role is ideal forsomeone passionate about solving complex platform engineering challenges across AWS, witha focus on model orchestration, deployment automation, and production-grade reliability. You’llarchitect ML systems at scale, provide guidance on infrastructure best practices, and work cross-functionally to bridge DevOps, ML, and backend teams.

Key Responsibilities:

● Architect and manage end-to-end ML infrastructure using SageMaker, AWS StepFunctions, Lambda, and ECR

● Design and implement multi-region, highly-available AWS solutions for real-timeinference and batch processing

● Create and manage IaC blueprints for reproducible infrastructure using AWS CDK

● Establish CI/CD practices for ML model packaging, validation, and drift monitoring

● Oversee infrastructure security, including IAM policies, encryption at rest/in-transit, andcompliance standards

● Monitor and optimize compute/storage cost, ensuring efficient resource usage at scale

● Collaborate on data lake and analytics integration

● Serve as a technical mentor and guide AWS adoption patterns across engineeringteams

Required Skills:

● 6+ years designing and deploying cloud infrastructure on AWS at scale

● Proven experience building and maintaining ML pipelines with services like SageMaker,ECS/EKS, or custom Docker pipelines

● Strong knowledge of networking, IAM, VPCs, and security best practices in AWS

● Deep experience with automation frameworks, IaC tools, and CI/CD strategies

● Advanced scripting proficiency in Python, Go, or Bash

● Familiarity with observability stacks (CloudWatch, Prometheus, Grafana)

Nice to Have:

● Background in robotics infrastructure, including AWS IoT Core, Greengrass, or OTA deployments

● Experience designing systems for physical robot fleet telemetry, diagnostics, and control

● Familiarity with multi-stage production environments and robotic software rollout processes

● Competence in frontend hosting for dashboard or API visualization

● Involvement with real-time streaming, MQTT, or edge inference workflows

● Hands-on experience with ROS 2 (Robot Operating System) or similar robotics frameworks, including launch file management, sensor data pipelines, and deployment to embedded Linux devices

Department: S&C – Site Reliability Engineering (SRE)  

Experience Required: 4–8 Years  

Location: Bangalore / Pune /Mumbai 

Employment Type: Full-time

• Provide Tier 2/3 technical product support to internal and external stakeholders. 
• Develop automation tools and scripts to improve operational efficiency and support processes. 
• Manage and maintain system and software configurations; troubleshoot environment/application-related issues. 
• Optimize system performance through configuration tuning or development enhancements. 
• Plan, document, and deploy applications in Unix/Linux, Azure, and GCP environments. 
• Collaborate with Development, QA, and Infrastructure teams throughout the release and deployment of lifecycles. 
• Drive automation initiatives for release and deployment processes. 
• Coordinate with infrastructure teams to manage hardware/software resources, maintenance, and scheduled downtimes across production and non-production environments. 
• Participate in on-call rotations (minimum one week per month) to address critical incidents and off-hour maintenance tasks. 

Key Competencies 

• Strong analytical, troubleshooting, and critical thinking abilities. 
• Excellent cross-functional collaboration skills. 
• Strong focus on documentation, process improvement, and system reliability. 
• Proactive, detail-oriented, and adaptable in a fast-paced work environment. 

Job Title: Sales Executive – SaaS

FactWise is a fully funded, early-stage b2b SaaS startup offering solutions to a global client base. The flagship product is an end-to-end S2P solution designed to transform procurement for product manufacturing companies across industries. Our singular focus is to create a truly distinctive procurement platform that delights users and provides sustainable positive impact to the organizations we serve. We achieve this by providing transparency and insights to leaders, streamlining and automating processes to improve efficiency, and driving bottom-line impact by unlocking savings potential.

Key Responsibilities:

• Call and connect with prospective clients to explain SaaS products.

• Arrange meetings and product demos with potential customers.

• Communicate effectively via calls, emails, and virtual meetings.

• Maintain follow-ups to build and nurture client relationships.

• Prepare and send professional emails to prospects and clients.

Requirements:

• 1–2 years of experience in SaaS product sales.

• Strong communication and presentation skills.

• Ability to engage with clients and clearly explain product value.

• Good email writing and follow-up skills.

Experience: 1–2 years (preferably in SaaS product sales)

CTC: ₹35,000 – ₹40,000 per month

We are excited to explore possibilities for how FactWise’s growth journey may align with yours!

Designation : Senior Software Developer (Python)

Department : Software

Location : Airoli, Navi Mumbai

Office Time : 11am – 8pm / 12pm – 9pm

Skills and Experience:

• Should have relevant experience of 5-8 years
• Python programming experience 4+ years
• Django (python web framework) experience 2+ years
• Flask/FastAPI (API development) experience 1+ years
• Pgsql database experience 3+ years
• Machine learning (ML)/NLP experience 1+ years
• Good to have knowledge of OCR/Tesseract
• Good to have knowledge of LLM/BERT/GenAI
• Good to have knowledge of Celery for queuing
• Good to have knowledge of ML model/Python App deployment on Azure/AWS