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About Megamet

Megamet is the largest timber distributor, which has operations PAN India. The company is headquartered in Mumbai and is involved in the import, distribution and supply of sawn timber products. The company’s head office is in Nariman Point, Mumbai.

Role Purpose

The CRM Manager will be responsible for managing post-sales customer relationships and ensuring smooth coordination from order confirmation to delivery and payment collection. The role will act as the primary point of contact for customers while coordinating with Sales, Purchase, Logistics, Warehouse, Accounts and Management.

Key Responsibilities

•Manage and build strong, long-term relationships with existing and new customers.

• Handle customer queries, complaints, feedback and after-sales service.

• Coordinate with Sales, Purchase, Logistics, Warehouse and Accounts for smooth order processing and delivery.

• Track orders from confirmation through procurement, shipment, documentation, warehouse receipt and final delivery. • Provide regular and proactive updates to customers regarding order and delivery status.

• Coordinate required invoices, packing lists, shipping and delivery documents with relevant teams.

• Follow up on customer payments and coordinate with Accounts for outstanding payments.

• Resolve customer issues promptly and escalate critical or recurring issues to Management.

• Maintain customer records, order trackers, complaints, feedback and follow-up details.

• Understand customer requirements, buying patterns and identify opportunities for repeat business.

• Share customer feedback and important market information with the Sales/Marketing team. 

Required Skills & Qualifications

• Bachelor’s Degree in any discipline.

• 5–8 years of experience in CRM / Client Servicing / Sales Coordination.

• Strong communication, relationship-building and follow-up skills. • Good coordination and problem-solving abilities.

• Proficient in MS Excel / CRM tools.

• Proactive, customer-focused and detail-oriented.

• Ability to coordinate with Sales, Logistics, Warehouse and Accounts teams.

Amazon Advertising Specialist

Job Summary

We are looking for a performance-driven Amazon Advertising Specialist to manage, optimize, and scale advertising campaigns on Amazon. The candidate will be responsible for improving campaign performance, increasing product visibility and sales, managing advertising budgets, and delivering measurable ROI for brands and sellers.

Key Responsibilities

Plan, create, launch, and manage Amazon advertising campaigns.

Manage Sponsored Products, Sponsored Brands, and Sponsored Display campaigns.

Conduct keyword research and identify high-performing search terms and product targets.

Monitor campaign performance, budgets, bids, impressions, clicks, conversions, and sales.

Optimize campaigns to improve ACoS, ROAS, CTR, CVR, CPC, and overall profitability.

Perform search-term and keyword analysis and add negative keywords where required.

Develop campaign strategies based on product objectives, category trends, competition, and customer behavior.

Manage daily and monthly advertising budgets and ensure efficient utilization.

Analyze advertising reports and prepare regular performance dashboards/reports.

Identify underperforming campaigns and implement corrective actions.

Conduct competitor and market research.

Coordinate with content, design, e-commerce, sales, and brand teams to improve product performance.

Recommend improvements to product listings, pricing, promotions, and merchandising based on advertising data.

Monitor Amazon marketplace trends, policy changes, and advertising-product updates.

Support new product launches through Amazon advertising campaigns.

Develop strategies for increasing sales, market share, product visibility, and organic ranking.

Present campaign performance, insights, and recommendations to clients or management.

Required Skills

Strong understanding of Amazon Ads / Amazon PPC.

Knowledge of Sponsored Products, Sponsored Brands, and Sponsored Display.

Strong analytical and numerical skills.

Experience with keyword research and campaign optimization.

Good understanding of e-commerce and marketplace marketing.

Strong Excel/Google Sheets skills.

Ability to analyze advertising reports and derive actionable insights.

Excellent communication and presentation skills.

Ability to manage multiple brands/products and advertising budgets.

Key Performance Metrics

ACoS – Advertising Cost of Sales

ROAS – Return on Ad Spend

CTR – Click-through Rate

CVR – Conversion Rate

CPC – Cost per Click

Impressions and Clicks

Advertising-attributed sales

Total sales growth

Organic ranking/visibility

Advertising budget utilization

Education & Experience

Bachelor's degree in Marketing, Business, E-commerce, Advertising, or a related field.

1–4 years of experience in Amazon PPC, marketplace advertising, digital marketing, or e-commerce.

Hands-on experience managing Amazon Ads campaigns is preferred.

Experience working with Amazon Seller Central or Vendor Central is an advantage.

Preferred Experience

Amazon PPC / Amazon Ads

E-commerce marketplace management

Performance marketing

Google Ads / Meta Ads

Keyword research tools

Amazon Seller Central

Amazon DSP or display advertising

Excel/Google Sheets and data-analysis tools

Job description:

Hiring For – Assistant Manager – Maintenance

We are hiring for our Manufacturing top client and looking for an experienced Maintenance professional from the Automotive / Manufacturing industry.

Job Title - Assistant Manager – Maintenance ( Bhiwandi Location )

Qualification: Diploma in Electrical / Mechanical / Automobile Engineering

Experience: 5–6 Years

Salary: 45,000– 50,000 per month

Gender: Male Candidates Only

Joining: Immediate Joiners / Candidates with up to 15 days’ notice preferred

Key Responsibilities

• Handle preventive, predictive & breakdown maintenance of production machines and utilities.
• Troubleshoot mechanical, electrical, pneumatic & hydraulic issues.
• Ensure maximum machine uptime and minimize production downtime.
• Prepare and execute preventive maintenance schedules.
• Monitor machine performance and identify improvement opportunities.
• Maintain breakdown reports, maintenance records & spare inventory.
• Coordinate with Production, Quality & Stores teams.
• Lead and supervise the maintenance team.
• Drive TPM, 5S, Kaizen & continuous improvement initiatives.
• Ensure compliance with ISO 9001:2015 & IATF 16949:2016.

Required Skills

• Preventive & Breakdown Maintenance
• Machine & Utility Maintenance
• PLC, Sensors & Motors
• Pneumatic & Hydraulic Systems
• Root Cause Analysis & Troubleshooting
• TPM / 5S / Kaizen
• Team Handling & Leadership Automotive / Manufacturing Industry Experience

Interested candidates can share their updated CV

Only relevant candidates with Immediate / 15 days joining availability will be considered.

Vector Artist — Job Description

Role Summary

Vectorize and adapt packaging artwork based on client references, briefs, or AI-generated concepts. Work ranges from clean vectorization of provided visuals to independent creative execution when only a description is given. This is a fast-paced role with frequent turnaround demands.

Key Responsibilities

Vectorize designs from references or AI-generated concept images

Where only a text description is provided, use independent creative judgment to design and vectorize from scratch

Adjust and resize artwork to match required print dimensions for jars, pouches, and other packaging formats

Prepare final print-ready package files

Design flyers as needed

Handle multi-flavor/multi-variant product lines given one reference design, replicate and adapt it across multiple variants (adjusting names, colors, and specific elements while maintaining brand consistency)

Manage multiple design requests simultaneously without compromising quality

Required Skills

Advanced Adobe Illustrator proficiency (vectorization, pen tool, path/shape operations)

Ability to work from loose references or written descriptions and translate them into finished designs

Strong understanding of print specs and adjusting artwork to different package dimensions

Consistency in replicating a design across multiple flavor/variant sets

Ability to work quickly and accurately under tight deadlines in a high-volume, fast-paced environment

Preferred Traits

Comfortable with quick turnarounds and shifting priorities

Self-starter who can move from brief to finished file with minimal back-and-forth

Deliverables

Print-ready vector files for jars, pouches, and packaging

Flyers

Multi-variant design sets from a single reference

• Prepare Solution Design and Bill of Materials (BoM) for proposed networking solutions.
• Conduct Partner and End-Customer Meetings/Trainings to support technical enablement.
• Deliver Product PoCs (Proof of Concept) and Product Demonstrations to partners and customers.
• Conduct Site Surveys and client analysis to understand customer infrastructure and requirements.
• Qualify sales leads into actionable opportunities in coordination with the sales team.
• Assist the sales team with product overviews and technical positioning during the sales cycle.
• Work closely with vendor (Juniper Networks) and customer teams to align on technical requirements and solution fitment.
• Respond to or create RFPs/RFIs as part of the technical pre-sales process.

Experience: Minimum 4 Years

• Strong presentation and training skills.
• Sound understanding of Wireless, Switching, Routing, and SDN technologies and terminologies.
• Certification in Juniper products and solutions preferred; essential hands-on experience.
• Excellent verbal and written communication skills with a consultative approach.
• Ability to explain technical concepts clearly with strong presentation skills.
• Problem-solving ability with a focus on addressing customer pain points.
• Customer-oriented mindset with adaptability and continuous learning.
• Effective time management, multitasking, and team collaboration abilities.
• Strong understanding of enterprise networking infrastructure covering Wireless/Switching/Routing/SDN; knowledge of Juniper Networks products is an added advantage.

Sales Executive – IAM/IGA

Experience: 3–5 Years

Location: Mumbai

Work Mode: Hybrid

Employment Type: Full-time

Role Overview

We are looking for a Sales Executive with 3–5 years of B2B technology sales experience, preferably in IAM/IGA, cybersecurity, or enterprise SaaS. The candidate will be responsible for generating new business, engaging senior IT/Security decision-makers, managing the sales pipeline, and driving opportunities to closure.

Key Responsibilities

• Generate and develop new B2B sales opportunities..

• Engage with CISOs, CIOs, IT/Security Heads, and decision-makers..

• Manage leads, follow-ups, pipeline, negotiations, and closures..

• Understand and present IAM/IGA and Identity Security solutions to prospects..

• Coordinate with technical/pre-sales teams for demos and PoCs..

• Achieve monthly and quarterly sales targets..

• Build and maintain strong client relationships..

• Willingness to travel for client meetings is a primary requirement..

Required Skills

• 3–5 years of B2B/IT/SaaS sales experience..

• IAM/IGA knowledge or experience preferred..

• Strong communication, presentation, networking, and negotiation skills..

• Strong client-facing and relationship-building abilities..

• Target-driven and self-motivated..

• Comfortable engaging with senior stakeholders..

• Willingness to travel for business/client meetings..

As a Senior Machine Learning Engineer at Quantiphi, you will be responsible for designing and developing advanced machine learning models and algorithms to solve complex business problems. You will work on optimizing and deploying these models on AWS infrastructure, ensuring scalability and reliability.

Must have skills:

● Experience with LangChain, LangGraph, LlamaIndex, CrewAI, or similar Agentic AI frameworks.

● Python: Good exposure to Python (Pandas, NumPy, FastAPI, advanced Python concepts).

● AWS Bedrock: Hands-on experience with AWS Bedrock and foundation models such as Claude Haiku and Claude Sonnet.

● LLM & GenAI: Hands-on experience in developing RAG pipelines, Prompt Engineering, and LLM-based GenAI applications.

● ML Pipeline Architecture: Experience with Titan Embeddings, Amazon OpenSearch Vector Search, and vector-based retrieval.

● Agentic AI: Hands-on experience with Agentic AI frameworks and AWS Bedrock AgentCore for developing AI agents and workflow orchestration.

● AI Agents & Knowledge Base: Experience developing AI agents for customer query automation and Knowledge Base (KB) solutions.

● Experience with document parsing, chunking, vectorizing and re-ranking strategies.

● Guardrails & Security: Experience configuring AWS Bedrock Guardrails and implementing authentication and authorization for secure AI applications.

● AWS Services: Hands-on experience with API Gateway, Lambda, S3, IAM, CloudWatch, ECR, and SageMaker.

● Software Engineering: Experience with Git, REST APIs, and CI/CD pipelines.

● Relevant AWS certifications (e.g., AWS Certified AI Practitioner, AWS Certified Machine Learning Engineer – Associate, or AWS Certified Solutions Architect – Associate) are a plus.

Good to have skills:

● Hands-on experience with OCR/Document Intelligence engines and NLP techniques for extracting structured information from documents and images.

● Hands-on experience with Bedrock Agentcore

● Hands-on experience with OpenAI, Anthropic, Gemini, or other foundation models.

● Experience with Docker, Kubernetes, and MLOps practices.

● Experience with Redshift, SQL, DynamoDB, or AWS Glue.

● Exposure to model monitoring, evaluation, and observability for GenAI applications.

● Ability to work in an Agile and DevOps environment.

About the job

We're looking for a 'Supply Chain Executive' who's eager to learn, owns outcomes, and is comfortable wearing multiple hats. Reporting directly to the founder, you'll own end-to-end supply chain operations from production coordination to last-mile fulfilment. Ideal for someone who wants real responsibility early in their career and a front-row seat to how a D2C brand actually runs.

Key responsibilities:

A. Inventory & order management:

1. Manage inventory across Amazon FBA, website, quick-commerce, and office/retail orders

2. Track stock levels and movement; prevent stock-outs and overstocking

3. Handle daily order processing and fulfilment coordination

B. Amazon FBA, marketplaces and Q commerce:

1. Plan replenishment and dispatch to Amazon FBA and Q-comm

2. Monitor stock health, ageing inventory, and timelines

3. Coordinate with marketplace ops for smooth fulfilment

C. Production & vendor coordination:

1. Coordinate demand planning and batch scheduling with production partners

2. Track production timelines; ensure timely warehouse dispatch

3. Support quality checks and packaging readiness

D. Demand planning & forecasting:

1. Support forecasting based on sales trends, launches, and campaigns

2. Plan inventory for promotions, festive spikes, and new SKUs

E. B2B & institutional orders:

1. Manage order processing for B2B, HoReCa, and bulk accounts

2. Coordinate with sales on stock allocation and delivery schedules

F. Process building:

1. Set up scalable supply chain processes and trackers

2. Create SOPs for inventory, order flow, and coordination

3. Continuously improve systems as we scale

G. Cross-functional support:

1. Work with marketing, sales, and finance on launches and reporting

2. Support offline retail fulfilment and ad-hoc ops needs

Why join Hotchaa:

1. Build a department from scratch

2. Work directly with the founder

3. High learning curve, real responsibility

4. Grow with the brand as we scale

Other requirements

Who we're looking for:

1. Minimum 1 year of experience in supply chain, operations, logistics, or D2C/e-commerce

2. Comfortable working in a startup environment with ambiguity

3. Strong execution mindset — gets things done, not just planned

4. Proficient in Excel/Google Sheets; tracking and reporting is core to this role

5. Organized, proactive, detail-oriented, and eager to take ownership

Bonus: exposure to Amazon FBA, D2C brands, FMCG, or food & beverage

Senior Xano Developer

Visual Backend Development, APIs & AI-Assisted Build

📍 Mumbai (On-site) | Full-time | 3-5 years

About the Role:

Unico Connect is an AI-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies.

We are hiring a Xano Developer who will build backend systems and APIs for our customer engagements on Xano, the visual backend development platform.

The mandatory requirement for this role is hands-on production backend engineering experience, including PostgreSQL data modelling and REST API design, in either a Node.js or Python environment.

Prior production work on Xano is strongly preferred.

The role is hands-on and customer-facing. You will own backend delivery across engagements: designing data models, building API flows in Xano, integrating third-party services, and partnering with frontend, mobile, and AI engineers on contracts and behaviour.

The work spans all three Xano build modes: no-code function stacks, custom code through Xano’s scripting and code blocks, and Xano’s AI assistance and agentic features.

A typical week includes a data model review for a new engagement, building a complex API flow in Xano, integrating a third-party webhook, and a customer working session on a new module.

Responsibilities:

Backend Delivery on Xano

Own end-to-end backend implementation on Xano: database schema, API endpoints, function stacks, background tasks, and integrations.

Ship production-ready work that meets customer requirements and engineering quality standards.

Build Across All Three Xano Modes

Use Xano’s no-code function stacks for standard CRUD and business logic.

Drop into custom code (JavaScript, Python through code blocks, expressions) where visual flows would be unwieldy.

Use Xano’s AI assistance and agentic features to accelerate routine build work.

Database Design on PostgreSQL

Own data model decisions for each engagement: table design, relationships, indexes, addons, and query performance.

Make schema choices that hold up as product usage grows and that map cleanly to the API contracts the client needs.

API Design and Integration

Design clean REST API contracts that the frontend, mobile, and third-party consumers can rely on.

Cover authentication, input validation, pagination, error handling, and rate limiting.

Integrate external services (payment gateways, messaging, storage, AI providers) through Xano’s connectors and custom requests.

Product Thinking and Solutioning

Translate fuzzy product asks from customers into concrete backend solutions.

Ask the right questions about edge cases, data lifecycle, multi-tenancy, and access control before building.

Push back on requirements that will cause pain later.

Customer Communication

Work directly with customers in discovery, design reviews, demos, and weekly working sessions.

Explain trade-offs in plain language, present options with clear recommendations, and write tight technical updates.

AI-Assisted Backend Development

Use Xano’s built-in AI features as well as external AI tools (Claude, Cursor, and similar) day to day for schema drafts, function stack scaffolding, query writing, integration setup, and review.

Develop strong instincts for when AI output is usable as-is and when it must be reworked.

Quality, Testing, and Reliability

Test the flows you ship.

Set up sensible error handling, logging, and alerts for the backend services you own.

Participate in incident response when something breaks in production.

Documentation and Handover

Document data models, API contracts, and non-obvious decisions inside Xano and in shared docs so the rest of the team and the customer can pick up the work without you in the room.

Continuous Learning

Track changes to the Xano platform, including new features, performance improvements, and AI capabilities.

Apply them to active engagements where they reduce build effort or improve product outcomes.

Requirements:

Hands-on Production Backend Engineering Experience (Mandatory)

Must have personally shipped backend systems to production for real users, with ownership of API design and data modelling.

POCs, coursework, and internal-only tools do not qualify.

3 to 5 Years of Professional Backend Engineering Experience

In either a Node.js or Python environment.

Candidates with slightly less time but strong demonstrated ownership are welcome to apply.

Strong PostgreSQL Skills

Schema design, indexing, query writing, and migrations on at least one production system.

Able to reason about query performance and design data models that hold up under realistic product usage.

REST API Design and Integration Depth

Comfort designing API contracts that are clean, predictable, and easy for frontend, mobile, and third-party consumers to work with.

Experience integrating external services such as payment gateways, messaging providers, storage, and AI APIs.

Familiarity with at Least One Node.js or Python Backend Stack

Such as Express, NestJS, Fastify, FastAPI, Django, or Flask.

Comfort reading and writing application code outside of visual environments when the situation calls for it.

Product Thinking and Solutioning

Ability to take a fuzzy product brief, ask the right questions, and propose a backend design that is fit for purpose.

Strong instincts for what to build first, what to defer, and what not to build.

Strong Written and Spoken English Communication

Confident in customer working sessions and design reviews.

Comfortable writing precise technical documentation and explaining trade-offs to non-engineering stakeholders.

Cloud and Deployment Fundamentals

Working knowledge of at least one of AWS, GCP, or Azure: deploying services, reading logs, managing environments, and basic operational tasks.

Familiarity with Docker is a plus.

Bachelor’s Degree

Bachelor’s degree in Computer Science, Information Technology, or a related engineering discipline.

Exceptional candidates with demonstrable production experience and strong portfolios may be considered without a formal degree.

Nice to Have

• Prior production experience on Xano, Bubble, Retool, or comparable visual or low-code backend platforms
• Full stack experience with React, Next.js, React Native, or Flutter
• Experience integrating LLM APIs (OpenAI, Anthropic, Google) into backend workflows
• Multi-tenant SaaS product experience
• Prior agency, consulting, or product-engineering experience

Customer Relationship Executive – Outbound

Location: Ghansoli, Navi Mumbai

Work Mode: Work From Office (WFO)

Experience: 6 Months – 1 Year (Outbound Calling / Sales – Mandatory)

Education: Graduate in any discipline

CTC: ₹26,000 per month

In-Hand: ₹22,000 per month

Working Days: 6 Days a Week

Weekly Off: 1 Day

Shift: Rotational shifts between 8:00 AM – 8:00 PM

About the Process

The Wealth Mutual Fund outbound process involves engaging with customers to promote Mutual Fund products, explain portfolio options, drive conversions, and support customers throughout their wealth-related journey.

Key Responsibilities

• Make outbound calls to customers to explain Mutual Fund offerings under the Wealth portfolio.
• Understand customer investment goals and align suitable Mutual Fund products accordingly.
• Build and maintain strong customer relationships through professional communication.
• Deliver high-quality sales pitches and handle customer objections effectively.
• Maintain accurate CRM documentation and follow-up records.
• Meet sales, productivity, and call quality targets consistently.
• Ensure adherence to compliance, regulatory norms, and audit requirements.

Required Qualifications & Experience

• Graduate in any discipline.
• 6 months – 1 year of experience in an outbound calling or sales process is mandatory.
• Excellent English communication skills.
• Strong verbal communication and persuasion skills.
• Ability to drive sales through advisory-based conversations.
• Good understanding of Wealth / Mutual Fund processes is preferred.
• Ability to handle customer objections confidently.
• Target-driven, self-motivated, and disciplined.
• Basic computer proficiency for CRM and documentation.

Additional Benefits

Joining Bonus – ₹10,000 for NISM 5A Certified Candidates

• ₹5,000 after successful completion of 30 days.
• ₹5,000 after successful completion of 60 days.

Selection Process

• Versant Score: 4 & 5
• HR Round
• Operations Round

Important

Candidates should be comfortable working from the Ghansoli, Navi Mumbai office and working in rotational shifts within the 8:00 AM – 8:00 PM window.

Backend Developer (Node.js) | 4+ Years | Mumbai

Required Skills:

• Strong experience in Node.js and TypeScript
• Hands-on experience with Microservices Architecture
• Experience building and consuming REST APIs
• Knowledge of MongoDB, PostgreSQL, or MySQL
• Familiarity with Git and Agile development practices

Responsibilities:

• Develop and maintain scalable backend applications
• Design and implement microservices-based solutions
• Build high-performance APIs and integrations
• Collaborate with cross-functional teams and participate in code reviews

Preferred:

• Experience with AWS/Azure/GCP, Docker, and Kubernetes

Roles & Responsibilities

Key Responsibilities

• Lead end-to-end implementation and delivery of software/technology products for enterprise customers.
• Own implementation projects from initial requirements gathering and planning through UAT, deployment, and customer go-live.
• Understand customer requirements and translate them into clear implementation plans, milestones, timelines, and deliverables.
• Act as the primary project/implementation point of contact for enterprise customers.
• Coordinate closely with Product, Engineering, Support, and other internal teams to resolve dependencies, issues, and implementation blockers.
• Manage project timelines, risks, dependencies, scope, and stakeholder expectations.
• Conduct regular project reviews and provide executive-level updates and reporting to customers and internal leadership.
• Engage directly with C-level executives, Directors, VPs, and other senior enterprise stakeholders.
• Build and maintain strong, strategic, long-term relationships with enterprise customers.
• Ensure successful UAT, deployment, adoption, and transition to the relevant post-go-live/customer success teams.
• Proactively identify risks and challenges and drive them to resolution.

Ideal Candidate

1Strong Technical Implementation manager profile with exposure to enterprise clients in B2B SaaS domain2Mandatory (Experience 1) – Must have 4+ years in Technical Implementation Manager/ SaaS Implementation manager/Technical Project Implementation Manager with atleast the recent 2+ years in a B2B SaaS company dealing with enterprise clients3Mandatory (Experience 2) – Must have direct experience leading end-to-end software/tech product/tech project delivery4Mandatory (Experience 3) – Must have External / Client project implementation experience (Don't want internal project manager)5Mandatory (Experience 4) - Experience coordinating with Product, Engineering, and Support teams to ensure successful customer go-live.6Mandatory ( Experience 5) – Must be comfortable engaging and presenting to C-level executives, Directors, VP-level stakeholders, and enterprise decision-makers, with proven ability to build strategic long-term relationships7Mandatory (Core Skills) – Strong communication, stakeholder management, and executive-level reporting capability8Mandatory (Company) -B2B SaaS Product companies9Mandatory (Note 1): Not looking for implementation engineer but someone who handles the implementation projects. In their current or most recent role, the candidate must be the accountable owner of implementation projects (primary client point of contact, owns the project plan and go-live), not a hands-on specialist executing the build.10Mandatory (Note 2) - We have 5 open positions of which 1 position is for Pune, and the rest 4 are for Bangalore/Gurgaon11Mandatory (Education): Engineering graduate12Mandatory (Note): Candidates who had been working earlier with Sprinklr or currently working with Sprinklr will not be considered

Interview Process

Example:

We are looking for an experienced Data Architect to design, develop, and manage the organization's enterprise data architecture. The candidate will be responsible for building scalable data platforms, ensuring data quality and governance, and supporting business analytics through modern data solutions.

Experience Required

Mention the minimum years of experience.

Example:

• Minimum 12 years of experience in Data Architecture, Data Engineering, or related fields.
• 5+ years of experience in the Banking/Financial Services domain is preferred.

Educational Qualification

Mention the required degree.

Example:

• BE/BTech in Computer Science, Information Technology, Software Engineering, Electronics & Communication Engineering, or equivalent.
• OR MCA/MTech/MSc in Computer Science, IT, or related disciplines.
• MBA is preferred.

Technical Skills

List the skills the candidate must have.

Example:

• AWS, Azure, or GCP
• Data Warehousing (DWH)
• ETL/ELT
• Database Management
• Data Modeling
• Data Analytics
• Data Lakes
• Data Governance

Key Responsibilities

Convert the points you received into simple action statements.

Example:

• Design and maintain enterprise data architecture.
• Develop data warehouses and data lakes.
• Define data standards and governance policies.
• Ensure data quality and security.
• Design ETL/ELT processes.
• Integrate data from multiple systems.
• Plan and execute data migration projects.
• Review existing data architecture and recommend improvements.
• Provide technical guidance to project teams.
• Evaluate new data technologies and tools.

Preferred Skills

These are not mandatory but are an advantage.

Example:

• Banking domain experience
• Strong analytical and problem-solving skills
• Good communication skills
• Leadership and stakeholder management
• Experience mentoring technical teams

About the company

The client is a quantitative investment firm focused on Indian financial markets. They operate a multi-strategy, multi-manager platform designed to generate consistent, risk- adjusted returns.

Their approach combines systematic investment methods, rigorous quantitative research and institutional-grade manager evaluation. We bring together research, technology and data to build scalable investment solutions.

Role Overview

We are seeking a Quantitative Developer with strong C++ and Python expertise to convert mathematical models and research prototypes into reliable, high-performance analytical engines.

You will work closely with Quantitative Research, Data Engineering, AI and Product Engineering teams throughout the full model lifecycle—from research handover and production implementation to validation, deployment and ongoing support.

This role is ideal for someone who enjoys working at the intersection of quantitative finance, numerical computing and production software engineering.

Key Responsibilities

Research Production

• Translate mathematical models and Python research prototypes into robust, production-quality C++.
• Develop reusable components for risk analytics, forecasting, portfolio analysis and simulation.
• Build efficient Python interfaces for C++ components using pybind11 or similar technologies.
• Ensure production implementations remain mathematically and numerically consistent with the underlying research.
• Establish clear and reproducible processes for transitioning models from research to production.

Engine Development and Validation

• Design and develop analytical engines capable of processing historical, batch and streaming data.
• Integrate calculation components with data pipelines, APIs, databases and downstream applications.
• Validate production implementations against research prototypes, benchmark datasets and expected results.
• Develop automated numerical, unit, integration, regression and performance tests.
• Identify and resolve numerical stability, precision and edge-case issues.
• Optimize calculation speed, memory usage, concurrency and scalability.
• Profile and benchmark critical components to meet defined performance requirements.

Deployment and Delivery

• Package analytical engines as libraries, services, APIs or containers.
• Support deployment across internal infrastructure and client-controlled environments.
• Configure engines for different datasets, workflows and institutional requirements.
• Assist with integration testing, production upgrades, issue diagnosis and technical troubleshooting.
• Implement appropriate logging, monitoring and error-handling capabilities.
• Document interfaces, assumptions, configurations, dependencies and deployment requirements.

Collaboration and Ownership

• Work closely with Quantitative Research, Data Engineering, AI and Product Engineering teams.
• Participate in technical design discussions, code reviews and quantitative model reviews.
• Communicate implementation trade-offs, constraints and risks clearly to technical and quantitative stakeholders.
• Take end-to-end ownership of assigned components, from research handover through production deployment and support.
• Contribute to engineering standards, reusable libraries and development best practices.

Required Qualifications

• Bachelor’s or master’s degree in Computer Science, Engineering, Mathematics, Statistics, Physics, Quantitative Finance or a related discipline.
• Strong professional programming experience in modern C++, including object- oriented and generic programming.
• Proficiency in Python and scientific-computing libraries such as NumPy, pandas or SciPy.
• Experience translating mathematical or analytical prototypes into production software.
• Strong understanding of algorithms, data structures, software architecture and design principles.
• Experience building automated unit, integration and performance tests.
• Familiarity with numerical methods, floating-point behaviour and numerical validation.
• Experience profiling and optimizing compute-intensive or data-intensive applications.
• Proficiency with Git and modern software-development practices.
• Strong analytical, debugging and problem-solving skills.
• •Ability to work effectively with both researchers and software engineers.

Preferred Qualifications

• Experience with pybind11, Boost.Python, Cython or similar interoperability technologies.
• Knowledge of quantitative finance, portfolio analytics, risk modelling, forecasting or simulation.
• Familiarity with time-series data and financial-market datasets.
• Experience developing applications that process batch or real-time streaming data.
• Exposure to concurrent, parallel or distributed computing.
• Experience with containerization and deployment technologies such as Docker.
• Familiarity with Linux environments, CI/CD pipelines and cloud or on-premises infrastructure.
• Experience building analytical libraries, calculation services or APIs for institutional users.
• Knowledge of Indian financial markets is advantageous

Position: Senior Façade Designer

Role Objective: To lead and direct the Façade Design team in the development of innovative, high-

performance façade, glazing, and cladding solutions. The role is fundamentally responsible for the

technical integrity, quality, and successful delivery of all façade design outputs, from conception

through to execution.

Key Responsibilities & Accountabilities:

 Design Leadership & Strategy:

o Lead the comprehensive design process for major façade projects, establishing

innovative concepts and solutions.

o Provide technical leadership, oversight, and mentorship to the entire design team.

 Technical Governance & Final Approval:

o Serve as the final technical authority for the review and approval of all detailed

façade drawings and specifications.

o Ensure all designs rigorously adhere to architectural plans, engineering

requirements, and both local and international building codes.

 Team & Stakeholder Management:

o Manage and lead project teams, comprising designers and engineers, to achieve

project objectives.

o Act as the principal liaison between the design department, project execution

teams, and clients.

 Innovation & Quality Assurance:

o Govern the quality control process and direct rigorous performance assessments of

all façade systems.

o Remain at the forefront of industry advancements and champion the

implementation of new technologies and cost-effective solutions.

Mandatory Candidate Profile:

 Education: A Bachelor's degree/Diploma in (Civil /Mechanical) Engineering or a closely

related technical field is mandatory.

 Experience: The candidate must demonstrate a minimum of 7-10 years of extensive and

progressive experience in façade design.

 Technical Knowledge: Expert-level proficiency in advanced CAD software and façade design

tools is required , along with profound expertise in diverse façade materials and systems.

Reporting Structure:

 The position reports directly to the Design Manager or the Head of Façade Design.

Data Engineer - Power BI Modelling

Level: Senior to Advanced - 5-15 years

Locations: Mumbai / Bengaluru

Joining an existing data engineering squad, you own Power BI semantic modeling on top of PySpark/SQL pipeline engineering, delivering enterprise-grade reporting and analytics. As an embedded Data Engineer, you turn PySpark pipelines into trusted Power BI models for the business.

Note: Shares a common PySpark/Snowflake base with "Data Engineer - Graphing" - source together, differentiate on semantic-modeling vs. graphing depth at interview.

Key responsibilities

1. Model semantically. Build and maintain Power BI semantic models (DAX, star schemas) for enterprise reporting.
2. Build pipelines. Develop PySpark/Python and SQL pipelines feeding the Snowflake environment.
3. Partner with stakeholders. Translate reporting requirements into performant data models.
4. Ensure data quality. Validate accuracy and performance of models and underlying pipelines.
5. Collaborate. Operate inside the existing squad with no separate delivery lead required.
6. Explore GenAI. Apply GenAI techniques to reporting and data use cases as opportunities arise.

Must-have qualifications

• Python and PySpark
• SQL
• Power BI semantic modeling (DAX, data modeling)

Preferred

• Snowflake; Dataiku
• GenAI exposure

What success looks like – first 6 to 12 Months

• Power BI models adopted for key reporting use cases
• Reliable PySpark/SQL pipelines feeding those models
• Smooth integration into the existing squad

Confidential – Wissen Technology

Must have

Experience in the Core Java development 

Good understanding of Object Oriented Design, Design Patterns and data structure algorithms

Experience in Multi-threading, Hashmaps, Collection arrays

Experience in Java collections

Experience in developing applications using Spring Boot

Proficient in building Micro Services with Java 1.8 or higher, J2EE, Spring, Spring Boot.

Proficient with No SQL and Relational Databases

Hands on experience in Unit testing frameworks like Junit / Mockito OR TDD

Social Media Strategist / Manager, AM:PM

Full-time, Andheri, Mumbai (in-office)

We are building a short-form vertical video news platform for people who stopped reading the news. You will own social end to end.

What you'll do:

• Ideate content daily. Trends in, ideas out, same day.
• Shoot and record with the team. On camera when needed, behind it when not.
• Execute the backlog of ideas we already have, fast.
• Run and grow our presence across Instagram, LinkedIn, and wherever attention moves.
• Read what is working, kill what is not, repeat.

Who you are:

• Fresh grad or someone with multiple internships behind them.
• Lives inside the feed. Knows what is trending before it trends.
• Ships. You are measured on output, not decks.
• Comfortable owning a channel without hand-holding.

This is a builder seat, not a support seat. If you want process and predictability, this is not it.

About the Role:

We are looking for a hands-on Senior Backend Engineer who can own complex product and platform problems end-to-end. You will work across AI agents, workflow orchestration, enterprise integrations, and distributed systems that operate reliably in real-world IT environments.

This role requires strong engineering judgment, product thinking, and the ability to transform ambiguous requirements into scalable, production-ready systems.

Key Responsibilities

• Build the core platform powering agentic IT operations.
• Design reliable multi-step workflows with retries, approvals, rollback mechanisms, and recovery.
• Develop AI pipelines for intent understanding, planning, validation, and execution.
• Build integrations with Microsoft 365, PSA, RMM, and other IT management platforms.
• Design secure, scalable multi-tenant enterprise systems.
• Improve production observability, monitoring, and reliability.
• Own major features from architecture and development through deployment and production support.
• Mentor engineers and contribute to raising the technical standards of the team.

Required Skills & Experience

• 8+ years of experience building backend platforms, distributed systems, or enterprise applications.
• Strong software engineering fundamentals and system design expertise.
• Experience building REST APIs, asynchronous/event-driven systems, databases, and cloud-native applications.
• Strong problem-solving skills with the ability to independently drive solutions in ambiguous environments.
• Excellent debugging, production engineering, and ownership mindset.
• Comfortable using AI coding assistants while independently validating code quality and correctness.

Preferred Technical Stack

Languages & Frameworks

• TypeScript
• Node.js
• Python

Databases & Messaging

• PostgreSQL
• Redis
• Message Queues
• Event-driven architectures

Cloud & Infrastructure

• AWS
• Docker
• Terraform

Enterprise Integrations

• Microsoft Graph API
• Microsoft 365
• OAuth
• Webhooks
• PSA/RMM platforms

AI & Workflow Technologies

• Workflow engines
• State machines
• LLM Agents
• Retrieval-Augmented Generation (RAG)
• AI evaluation frameworks

What We're Looking For

• Strong backend engineering expertise with experience building scalable production systems.
• Deep understanding of distributed systems and platform architecture.
• Ability to own features from design through production.
• Product mindset with strong engineering ownership.
• Excellent collaboration and mentoring skills.

Why Join Neels AI?

• Build the operating layer for the next generation of IT services.
• Work on AI systems that take real-world actions—not just generate text.
• Solve challenging problems across AI, infrastructure, security, and enterprise automation.
• Join at an early stage and influence product direction, architecture, and engineering culture.
• Work directly with experienced founders and global enterprise customers.

Job Summary

We are looking for a Fashion Consultant to provide personalized styling and fashion advice to customers, understand their requirements, and drive sales by recommending suitable products and looks.

Key Responsibilities

• Assist customers in selecting outfits based on their preferences, body type, occasion, and budget. 

• Provide personalized fashion and styling consultations. 

• Understand current fashion trends and product collections. 

• Achieve individual and store sales targets. 

• Build strong relationships with customers and ensure a premium shopping experience. 

• Suggest outfit combinations, accessories, and complete looks. 

• Maintain knowledge of fabrics, fits, colors, and styling techniques. 

• Handle customer queries and provide excellent after-sales service. 

• Maintain visual merchandising and presentation standards. 

• Coordinate with the store/team to ensure smooth day-to-day operations. 

Requirements

• 1–3 years of experience in fashion retail, styling, personal shopping, or luxury retail. 

• Strong knowledge of fashion trends and styling. 

• Excellent communication and interpersonal skills. 

• Customer-oriented with strong sales ability. 

• Good presentation and grooming. 

• Ability to understand customer preferences and recommend suitable products. 

• Qualification in Fashion Design / Fashion Styling / Retail Management is preferred

Job Description for SAP Project System Consultant:

Location : Hyderabad, Bangalore, Pune, Noida , Gurugram , Kolkata

Inviting applications for the role of Consultant, SAP PS!

Lead and advise business process improvement on SAP PS enablement initiatives. Drive SAP PS solution design activities – Enterprise Structure, Master Data, Transactional and Reporting, RICEFW. Review and finalize configuration and RICEFW documents.

Responsibilities: 

•    Project systems experience with excellent financial knowledge, especially in controlling

•    Should have worked on large Projects with full hands-on experience in Project Management aspects of Budgeting, Costing, Forecasting, Time booking, Service Orders, Milestone billing, Settlements, Project closure and running Analytical reports.

•    Configuration of Structures, Network, Documents, Collaboration, Revenue and Earnings, Actual payments, and forecast.

•    Exceptionally good knowledge in settlement to profitability analysis and Costing reports, any custom reports

•    Ability to evaluate business challenges from a broader perspective

•    Strong influencing and excellent communication skills

•    Strong client-serving attitude with organizational and time management skills

•    Very good understanding of Agile methodologies, ITIL processes, SNOW/JIRA Stories

•    Out-of-the-box thinking is a must and should be able to provide critical solution designs.

Qualifications we seek in you!

Minimum Qualifications

  Graduation: B. Tech/B.E. – MCA/MBA – Any Specialization.

Preferred Qualifications/ Skills

•    Experience in S/4 HANA.

•    Ability to deliver high-quality and reliable software by collaborating with the team. Outstanding analytical skills, and ability to apply expertise to drive sophisticated, technical and highly commercial solutions. Possess good verbal and written communication skills.

•    Excellent customer-facing skills that include conducting compelling technical briefings & demonstrations, including issues, status reports and resolving impediments. 

Position: Enterprise Account Manager

Location: Andheri (E), Mumbai

CTC Offered: 16LPA to 25LPA (80% fixed & 20% Variable)

JD 

• Proven independent performer with strong Mumbai market knowledge, connects in OEM ecosystem.
• Managing internal and external stakeholder relations and negotiating contracts.
• Will need to drive CXO level engagement and conversations.
• Achieving business goals and revenue targets.
• Seeking new business opportunities in their region and securing contracts for the company.
• Securing long-term relationships by maintaining practical client relations.
• Preparing and presenting regional reports for senior management.

Required Qualification-

• Experience - 6 to 10 Years (In infrastructure and or Cybersecurity domain)
• Mumbai Market connects 
• Ability to measure and analyse key performance indicators (ROI and KPIs).
• Familiarity with CRM software.
• Excellent communication skills.
• Strong organizational skills with a problem-solving attitude.
• Availability to travel as needed

Senior Process and Proposal Engineer (Machine Manufacturing)

Location: Ghatkopar, Mumbai

Department: Marketing and Sakes

Experience: 6+ year of experience

Qualification:  B.E. Mechanical / Diploma Mechanical / Chemical Engineer

Required Skills:

 Good knowledge of AutoCAD with hands-on drafting experience.

 Experience in Pharma Equipment Industry preferred.

 Knowledge of process vessels, liquid manufacturing, ointment manufacturing, and sugar syrup systems.

 Familiarity with ASME, API, TEMA, and PED standards will be an added advantage.

 Strong communication, analytical, and coordination skills. Key

Responsibilities:

 Prepare GA Drawings, P&ID Drawings, and Layout Drawings using AutoCAD.

 Design and draft process equipment such as Pressure Vessels, Heat Exchangers, and Storage Tanks.

 Prepare mechanical data sheets, BOQ, BOM, and project costing.

 Review technical specifications, drawings, and project requirements.  Prepare technical and commercial proposals/quotations.

 Coordinate with clients and internal departments for project execution and proposal preparation.

 Ensure designs comply with applicable engineering standards and are cost-effective.

 Modify and revise designs to improve performance and resolve technical issues. 

Strong Business Analyst profiles with Stakeholder management expertise and solid communication skills

2

Mandatory (Experience 1) – Must have 4+ years of experience working as a Business Analyst or Project Coordinator in application development projects with at least recent 2+ years in a B2B services/product company

3

Mandatory (Experience 2) – Must have hands-on experience in requirement gathering, stakeholder discussions, business analysis, and translating business requirements into functional specifications.

4

Mandatory (Experience 3) – Must have strong experience preparing BRD (Business Requirement Document), SRS (Software Requirement Specification), FRD, Use Case Documents, User Documentation, and related project artifacts.

5

Mandatory (Experience 4) – Must have hands-on experience creating process flow diagrams, workflow diagrams, business process maps, user journeys, and functional flow documentation.

6

Mandatory (Experience 5) – Must have working experience with Figma for wireframing, screen flows, mockups, and requirement visualization.

7

Mandatory (Experience 6) – Must have experience coordinating with business users, development teams, QA teams, and external stakeholders throughout the project lifecycle.

8

Mandatory (Experience 7) – Must have good understanding of SDLC, Agile methodologies, UAT coordination, project tracking, and documentation management.

9

Mandatory (Experience 8) - Must have excellent verbal and written communication skills

10

Mandatory (Company) - B2B Product/B2B Services

11

Preferred (Skill 1) – Exposure to Jira, Confluence, MS Project, Visio, Draw.io, or similar project management and documentation tools.

AI Engineer

LLMs, Agents & AI Services

📍 Mumbai (On-site) | Full-time | 2-4 years

About the Role:

Unico Connect is an AI-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies.

AI is core to how we design, deliver, and scale software for our customers.

We are hiring an AI Engineer for a dedicated client engagement building a complex production AI platform, working on the AI capabilities and agentic features at the core of the product.

The mandatory requirement for this role is at least one AI feature personally shipped to production for real users, with operational ownership.

The role suits someone who thinks quickly on solutioning, can take an ambiguous problem to a working prototype in days, and has the discipline to carry it through to production with predictable economics.

You will work alongside the Senior AI Engineer and the wider pod, with ownership of parts of the AI surface area of the product.

Responsibilities:

Solutioning and POCs

Translate ambiguous customer problems into working POCs at speed.

Pick the right model, framework, and architecture, and demonstrate value early before scaling investment.

LLM Application Development

Build AI features and services using LLM APIs from OpenAI, Anthropic, Google, and self-hosted open-weight models (Llama, Qwen, Mistral).

Choose the right model per use case based on cost, latency, capability, and context-window trade-offs.

Agentic System Design

Design and implement agentic workflows using LangGraph, CrewAI, AutoGen, LlamaIndex Agents, or custom orchestration.

Cover tool use, planning, memory, and multi-step reasoning appropriate to the problem.

API and Service Development

Build production AI services and APIs using Python and FastAPI.

Handle streaming responses, async processing, structured outputs, retries, and graceful degradation when models or tools fail.

Retrieval and Tool Integration

Implement RAG pipelines with vector databases (Pinecone, Weaviate, Qdrant, pgvector, Chroma), embeddings, chunking strategies, hybrid search, and reranking.

Integrate external tools, internal APIs, and document sources through tool-calling and MCP-style patterns.

Cost Analysis and Unit Economics

Model the per-request and per-user cost of every AI feature before it ships.

Track token usage, prompt caching, batching, and model-routing strategies.

Drive measurable improvements in unit economics.

Production Hardening

Add observability and tracing (LangSmith, Langfuse, OpenTelemetry), guardrails, content safety checks, prompt injection defences, and fallback behaviour.

Prompt Engineering and Evaluation

Design, test, and iterate prompts with measured outcomes.

Build evaluation harnesses for accuracy, hallucination, latency, and cost.

Run benchmarks across models and prompt variants before locking in a design.

Requirements:

AI Feature Shipped to Production (Mandatory)

Must have personally built and shipped at least one AI feature that runs in production for real users, with operational ownership.

POCs, internal demos, and one-off scripts do not qualify.

2 to 4 Years of Professional Software or AI Engineering Experience

With at least one production AI feature owned end to end.

Strong Python Proficiency and API Development with FastAPI

Comfort with type hints, async, packaging, testing, streaming responses, and authentication.

Production-grade Python, not notebook-only code.

Hands-on Depth Across the LLM and Agent Stack

Working experience with at least two of OpenAI, Anthropic Claude, Google Gemini, or self-hosted open-weight models (vLLM, Ollama, Together, Replicate).

Working familiarity with at least one agent framework (LangGraph, CrewAI, AutoGen, LlamaIndex Agents) or hand-rolled equivalent.

Working knowledge of RAG, embeddings, and vector databases (Pinecone, Weaviate, Qdrant, pgvector, Chroma).

Solutioning Speed and POC Velocity

Demonstrated ability to move from a fuzzy problem to a working prototype in days.

Strong instinct for what to build first, what to defer, and what to throw away.

Cost Discipline for Production AI

Ability to calculate, monitor, and optimise the cost of LLM APIs, tokens, embeddings, vector store usage, and infrastructure.

Treats unit economics as a first-class concern.

AWS Familiarity

Working knowledge of EC2, S3, IAM, and at least one of Bedrock, SageMaker, or equivalent.

Comfortable in a Fast-Moving Environment

Self-directed, comfortable with ambiguity, takes ownership without being asked, and ships under shifting priorities.

Strong Written and Spoken English Communication

Able to explain trade-offs to non-AI engineers, designers, product managers, and clients in plain language.

Nice to Have

• fine-tuning or LoRA, QLoRA, PEFT exposure
• MCP server authoring
• eval framework experience (LangSmith, Promptfoo, Ragas, DeepEval)
• open-source AI contributions
• multi-modal models (vision, audio)

Job Summary

We are looking for a skilled and experienced Data Engineer to join our growing data team. The ideal candidate will have strong expertise in Python, PySpark, Data Modeling, and Power BI, with hands-on experience in designing, developing, and optimizing scalable data solutions. The role requires working closely with business stakeholders, data architects, and analytics teams to build robust data pipelines and semantic models that enable data-driven decision-making.

Technical Skills

• Strong hands-on experience in Python and PySpark development.
• Expertise in building and optimizing Data Engineering solutions and ETL pipelines.
• Strong understanding of Data Modeling concepts (Star Schema, Snowflake Schema, Dimensional Modeling).
• Experience with Power BI Data Modeling and Semantic Layer development.
• Proficiency in DAX (Data Analysis Expressions).
• Experience designing and managing Semantic Models in Power BI.
• Strong SQL skills and experience working with large datasets.
• Knowledge of data warehousing concepts and best practices.

Preferred Skills

• Experience with cloud platforms such as Azure, AWS, or GCP.
• Exposure to modern data platforms like Databricks.
• Understanding of data governance and data quality frameworks.

▌ ABOUT BXI WORLD

At BXI (Barter Exchange of India), we have reinvented the age-old concept of bartering for the modern Indian enterprise. We empower businesses to let their goods and services work for them — transforming inventory into a powerful engine for growth. Our digital marketplace connects you with 10+ categories of products and services available for exchange from over 100+ trusted brands. BXI is a business community where reputed organizations join to exchange goods and services, creating a vibrant marketplace where businesses trade without cash.

▌ ABOUT THE ROLE

Real estate is one of BXI's most exciting and high-value categories. We enable real estate brands, developers, and brokers to trade inventory and services through structured barter transactions. We are looking for a sharp, networked, and deal-hungry BD professional to source and close high-value real estate barter deals across commercial and residential segments.

▌ KEY SKILLS

 Real Estate Sales  |   Commercial & Residential Deals  |   Business Development  |   Barter Solutions  |   High-Value Closing  |   Network Building  |   Target-Driven 

▌ WHAT YOU'LL DO

•    Source and close real estate barter deals across commercial and residential categories

•    Identify and onboard real estate developers, brokers, and corporate clients onto the BXI platform

•    Build and leverage a strong real estate network to generate leads and close high-value transactions

•    Pitch barter solutions consultatively — understanding client needs and structuring win-win deals

•    Manage the full deal lifecycle — from prospecting to negotiation to closure

•    Drive monthly, quarterly, and annual revenue targets aggressively

•    Maintain a healthy pipeline and provide regular forecasting and reporting

•    Collaborate with internal teams (category, operations, finance) to ensure seamless deal execution

▌ WHAT WE'RE LOOKING FOR

•    2+ years of experience in real estate sales, BD, or brokerage

•    Proven track record of sourcing and closing commercial and/or residential real estate deals

•    Strong existing network in the real estate ecosystem (developers, brokers, corporates)

•    Experience or understanding of barter, media, or non-cash transactions is a big plus

•    High-energy, target-driven mindset with a passion for deal-making

•    Excellent communication, negotiation, and relationship-building skills

•    Ability to work independently, manage multiple deals simultaneously, and drive closures

•    Self-motivated with a go-getter attitude and strong business acumen

About Fibrocast:

Fibrocast is a leading manufacturer of FRP, GRP, and GRC products, delivering innovative composite solutions for infrastructure, industrial, and construction sectors across India. We are committed to quality, innovation, and customer satisfaction while providing our employees with opportunities to learn, grow, and build successful careers.

Job Summary:

We are looking for energetic, self-motivated, and enthusiastic individuals to join our Sales team. This opportunity is ideal for fresh graduates or candidates with up to 1.5 years of experience who are passionate about sales, enjoy interacting with customers, and are willing to travel extensively within their assigned territory.

As a Territory Sales Executive/Manager, you will be responsible for developing new business opportunities, maintaining customer relationships, identifying potential projects, and contributing to the company's sales growth.

Key Responsibilities:

• Generate new business opportunities within the assigned territory.
• Visit dealers, distributors, contractors, consultants, architects, and project sites.
• Identify potential customers and convert leads into business.
• Promote Fibrocast's range of FRP, GRP, and GRC products.
• Build and maintain strong customer relationships.
• Conduct market surveys and identify upcoming projects.
• Coordinate with internal teams for quotations, order processing, and timely deliveries.
• Follow up with customers for enquiries, orders, and payments.
• Achieve monthly sales targets and business development goals.
• Prepare daily visit reports and maintain accurate sales records.
• Represent Fibrocast professionally during customer meetings and exhibitions whenever required.

Eligibility:

• Bachelor's degree in Business Administration, Marketing, Engineering, or any relevant discipline.
• Freshers are encouraged to apply.
• Candidates with up to 2 years of experience in Sales, Marketing, or Business Development are also welcome.
• Excellent communication and interpersonal skills.
• Strong willingness to learn and build a career in B2B Sales.
• Basic knowledge of MS Office.
• Must be willing to travel extensively within the assigned territory.
• Possession of a two-wheeler and a valid driving licence will be an added advantage.

Preferred Skills:

• Good communication and presentation skills
• Confidence in meeting new customers
• Relationship-building ability
• Negotiation skills
• Problem-solving mindset
• Self-motivated and target-oriented
• Time management
• Quick learner

What We Offer:

• Competitive Salary
• Performance-Based Incentives
• Travel Allowance & Reimbursements
• Comprehensive Product Training
• Career Growth Opportunities
• Exposure to Industrial and Infrastructure Sales
• Supportive and Growth-Oriented Work Environment

Strong HR Generalist Profile with agency-environment HR experience

2

Mandatory (Experience 1): Must have minimum 3+ years of relevant HR experience, specially within a PR, communications, or creative agency environment.

3

Mandatory (Experience 2): Must have hands-on experience across end-to-end recruitment — drafting JDs, shortlisting, interviews, offer rollouts, and onboarding

4

Mandatory (Experience 3): Must have experience managing the appraisal process and performance-linked incentive cycles.

5

Mandatory (Experience 4): Must have experience designing and implementing HR policies, processes, and learning & development initiatives.

6

Mandatory (Experience 5): Must have experience running employee engagement programmes aligned with company culture.

7

Mandatory (Experience 6): Must have experience managing HR operations — salary slips, leave administration, benefits management, and employee records/documentation.

8

Mandatory (Experience 7): Must have experience handling exit formalities — resignations, terminations, and clearances.

9

Mandatory (Skill): Must be analytical, approachable, and adaptable — equally comfortable handling data and people.

10

Mandatory (Communication): Must be a strong communicator with fluency in written and spoken English.

11

Mandatory(Education): Must hold a degree or diploma in HR.

Strong Accounts / Finance Profile with agency-environment accounting experience

2

Mandatory (Experience 1): Must have a minimum of 3+ years of experience in accounting, specifically within a PR, communications, or creative agency environment

3

Mandatory (Experience 2): Must have hands-on experience managing day-to-day accounting operations — entries, vouchers, receipts, bills, and payments.

4

Mandatory (Tech skill 1): Must have strong knowledge of Tally ERP, GST, TDS, and statutory compliance, including monthly GST working and filings.

5

Mandatory (Tech skill 2): Must have experience with bank reconciliation, sundry debtor/creditor reconciliation, and maintaining accurate financial ledgers.

6

Mandatory (Tech skill 3): Must have experience managing banking activities — cheque issuance, cash deposits, NEFT, and RTGS.

7

Mandatory (Tech skill 4): Must have experience preparing quotations and purchase orders (Busy software) and maintaining sales, purchase, stock, and petty cash records.

8

Mandatory (Tech skill 5): Must have experience with payroll — salary statements, PF accounts, worker wages, and payroll documentation

9

Mandatory (Tech skill 6): Must have experience supporting account finalisation — balance sheets, trial balances, statements of accounts, fixed asset registers, and financial reports

10

Mandatory (Tools): Must be proficient in accounting software (Busy, Tally) and Microsoft Office / Google Workspace

11

Mandatory (Communication): Must have effective written and verbal English communication for coordinating with internal teams and external stakeholders.

12

Mandatory (Education): Must have a Bachelor's degree in Accounting, Finance, Commerce, or a related

Strong Senior PR Profile from a PR agency / integrated communications background

2

Mandatory (Experience 1): Must have 4+ years of total experience in PR / corporate communications specifically in Real Estate or Miscellaneous (general / multi-sector) domains.

3

Mandatory (Experience 2): Must have experience independently owning PR client accounts end-to-end, including client relationships, presentations, and strategic PR planning

4

Mandatory (Experience 3): Must have strong, established media relationships and a proven track record leading media outreach, pitching, and relationship management

5

Mandatory (Skill 1): Must be able to develop, review, and quality-check press releases, pitches, bylines, and communication materials

6

Mandatory (Skill 2): Must have experience leading integrated campaigns across digital, social, creative, and strategy teams.

7

Mandatory (Skill 3): Must have experience managing, mentoring, and guiding PR teams / junior members.

8

Mandatory (Skill 4): Must have experience handling issues management, reactive communications, and crisis situations

9

Mandatory (Skill 5): Must have experience supporting new business pitches and proposal development.

10

Mandatory (Domain): Must have worked either in the Real Estate sector OR across general / multiple sectors (Miscellaneous — e.g. consumer, tech, corporate, lifestyle, BFSI).

11

Mandatory (Tools): Must be proficient with AI tools and creating high-quality PowerPoint presentations.

12

Mandatory (Communication): Must have excellent written and verbal communication with strong stakeholder management skills.

13

Mandatory (Note): This RC covers two open positions — one requiring PR experience specifically in the Real Estate sector, and one open to Miscellaneous (general / multi-sector) PR backgrounds

14

Preferred(Education): Must have a Bachelor's degree in Mass Communication, Journalism, PR, or a related field.

RPA.

Must Have:

• More than 8 years of overall experience in Robotic Process Automation and ML technologies. 

• 4-5 years of direct experience in developing with UiPath/Automation Anywhere (A360), Python

• Strong Knowledge in SQL to write queries (Insert, Delete, Select , Update & Joins) and have knowledge on Stored Procedure to Execute or Modify.

• Experience on Custom / Build in Queues like Workload Management Queues.

• Certifications with other RPA software tools (e.g., Automation Anywhere, UiPath etc.) preferred

Nice to Have Skills:

Experience with business process improvement, including process mapping and design-based thinking preferred

Bachelor’s degree in computer science experience.

Design, develop, test, and optimize solutions to automate processes using automation technology including AA/UiPath.

Designs automated solutions in accordance with enterprise leading practices and design principles.

Assists in the collection and documentation of solution design requirements.

Builds and test automation processes including unit and integration testing.

Analyzes and resolves automation software issues where required.

Participates in peer review of solution designs

TECHNICAL SKILLS:

Automation Tools : UiPath, Automation Anywhere A360

Reporting Tools : SAP BO 4.2, Tableau

Databases : MS SQL Server 2010/2008, Teradata, Stored Procedures

Languages : .Net, XML, VB Scripting, Python

Platforms : Unix, Windows 10/7/XP

SDLC Methodology : Agile, Waterfall

Other Tools : MS Office, XML Editor, Jira, SharePoint, ALM, Service Now, Rally, Visual studio

Social Media Growth Manager

SUMMARY

We're looking for an AI-first, growth-oriented Social Media Growth Manager who understands how to build brands in

today's digital landscape. This role goes beyond posting content—you'll be responsible for creating high-impact

content, growing our online communities, increasing brand awareness, and driving measurable business outcomes

through innovative social media strategies.

If you're someone who is obsessed with social media trends, understands platform algorithms, loves experimenting

with content, and can turn ideas into viral campaigns, we'd love to hear from you.

TECHNICAL SKILLS

Strong understanding of social media algorithms and organic growth strategies.

Excellent storytelling and content creation skills.

Proven ability to create high-performing and viral social media content.

Strong analytical skills with the ability to interpret data and make growth-focused decisions.

Deep understanding of audience behaviour and digital content consumption.

Excellent copywriting and communication skills.

Creative mindset with a passion for experimentation and continuous learning.

Ability to work in a fast-paced, performance-driven environment.

ChatGPT

Claude

Google Gemini

Perplexity AI

Canva AI

CapCut AI

Midjourney (preferred)

Adobe Express AI

Meta Business Suite

Google Analytics

Social media scheduling and analytics tools

KEY RESPONSIBILITIES

- Develop and execute social media strategies across Instagram, Facebook, LinkedIn, YouTube, X, and emerging

platforms. - Create engaging, shareable, and viral content that resonates with our target audience. - Drive consistent

growth in followers, reach, engagement, impressions, watch time, and other key social media metrics. - Plan and

manage content calendars aligned with business objectives and marketing campaigns. - Collaborate with designers,

video editors, and marketing teams to create compelling creatives and videos. - Stay updated with platform algorithms,

content trends, creator economy insights, and emerging social media features. - Monitor performance metrics and

optimize content using data-driven insights. - Conduct competitor analysis and identify opportunities to outperform

industry benchmarks. - Build and engage online communities by responding to comments, messages, and audience

interactions. - Continuously test new content formats, storytelling techniques, hooks, and distribution strategies to

maximize organic growth.

AI & CONTENT INNOVATION

AI is an integral part of this role.You should be comfortable leveraging AI to accelerate content production while maintaining creativity and

authenticity.

Responsibilities include:

- Using AI tools to generate content ideas, scripts, captions, headlines, and campaign concepts. - Repurposing long-

form content into multiple short-form assets using AI workflows. - Creating AI-assisted images, videos, reels, and

presentation content. - Writing effective prompts to generate high-quality outputs. - Researching trends, competitors,

and audience insights using AI-powered platforms. - Identifying and adopting new AI tools that improve efficiency,

creativity, and performance.

EXPERIENCE

- 2–5 years of experience in Social Media Marketing, Content Marketing, or Digital Marketing. - Demonstrated

success in organically growing social media accounts. - Experience creating short-form video content and high-

engagement campaigns. - Portfolio showcasing successful campaigns, viral content, or measurable audience growth is

mandatory. - Experience in Education, EdTech, Digital Marketing, or Personal Branding will be an added advantage.

WHAT WE'RE LOOKING FOR

The ideal candidate:

- Thinks like a growth marketer rather than a traditional social media manager. - Is data-driven and comfortable

making decisions based on numbers. - Has a strong growth mindset and continuously experiments with new ideas. - Is

proactive, curious, and always learning. - Understands internet culture, memes, trends, and viral content mechanics. -

Can balance creativity with business objectives. - Is passionate about building communities and brands that people

genuinely engage with.

KEY PERFORMANCE INDICATORS (KPIS)

Success in this role will be measured by:

- Growth in followers and subscribers - Organic reach and impressions - Engagement rate - Video views and watch

time - Shares, saves, and comments - Community growth and audience retention - Content production efficiency -

Lead generation and traffic from social media - Brand awareness and campaign performance

WHY JOIN US?

You'll have the opportunity to work on exciting brands, experiment with the latest AI technologies, influence

marketing strategy, and build social media campaigns that reach millions. We believe in creativity, ownership,

innovation, and continuous learning, and we're looking for someone who shares the same mindset.

About the Programme 

Developing an enterprise AI platform focused on financial compliance and intelligence.  

Role Overview 

We are looking for a strong Data Engineer to own the data foundation of the platform. Every model, every AI output, and every compliance decision the system makes depends on data arriving reliably, completely, and on time. You will design and build the ingestion pipelines from all source systems into the data platform, own the pipeline monitoring infrastructure, and work closely with internal IT and operations teams to extract data from complex enterprise source 

systems.  

Key Responsibilities 

Data Discovery & Audit 

• Conduct a thorough data audit with internal IT and operations teams — map every data 

source needed for the platform, assess what already exists on the data platform, and identify gaps. 

• Document data sources, schemas, update frequencies, and quality issues for all relevant datasets  

• Raise data gaps and quality risks to the Solutions Architect  

Pipeline Design & Build 

• Design and build ingestion pipelines from all source systems — ERP, government portals, supplier portals, and banking feeds — into the data platform. 

• Design pipelines for both batch and real-time ingestion patterns 

• Ensure pipelines are idempotent, resumable, and handle source system failures gracefully without data loss or duplication. 

Data Quality & Reliability 

• Build pipeline monitoring and alerting so data failures are caught and flagged before they corrupt model training or inference. 

• Define and implement data quality checks at the point of ingestion — schema validation, completeness checks, and anomaly detection on incoming data volumes. 

• Maintain clear data lineage so the team always knows where a data point came from and when it was last updated. 

Collaboration & Handoff 

• Work closely with internal IT and automation team who hold institutional knowledge of the source systems — this is not a solo exercise. 

• Hand off clean, well-documented datasets to the ML Engineers and LLM Engineer for model training and knowledge base building. 

• Support the MLOps Engineer in ensuring production pipelines are stable and monitored post-deployment. 

Required Qualifications 

Education 

•B.E. / B.Tech / M.Tech in Computer Science, Information Technology, or a related field. 

Experience 

• 5+ years of data engineering experience with at least 2 years working on production pipelines at enterprise scale. 

• Demonstrated experience building pipelines from complex enterprise source systems — ERP or equivalent. 

• Experience building both batch and real-time / streaming ingestion pipelines. 

Technical Skills 

• Languages: Python and PySpark; SQL proficiency essential. 

• Data Platform: Databricks and Delta Lake — must have hands-on production experience. 

• Pipeline Orchestration: Apache Airflow, Databricks Workflows, or equivalent. 

• Streaming: Kafka, Spark Structured Streaming, or equivalent for real-time ingestion patterns. 

• ERP Integration: Experience extracting data from SAP or equivalent large ERP systems strongly preferred. 

• API Integration: REST API consumption for government portal or third-party data feeds. 

• Data Quality: Experience with data quality frameworks — Great Expectations or equivalent. 

• Observability: Pipeline monitoring, alerting, and data lineage tooling. 

Preferred Qualifications 

• Familiarity with SAP data models  

• Prior experience with government API ecosystems — GSTN, ICEGATE, or similar. 

• Experience building pipelines that feed ML model training workflows. 

• Exposure to Unity Catalog or similar data catalogue and governance tools. 

• Prior work in fintech, compliance, or tax technology environments. 

End to end implementation of a B2B system. The role requires working with the clients who have been onboarded and see through the implementation of the system. Familiarity with python based frameworks like Frappe is desirable but not mandatory.

About the Programme

Developing an enterprise AI platform focused on financial compliance and intelligence

Role Overview

We are looking for a QA Engineer to own testing across the full platform. In a compliance context, a software defect is not just a technical issue — it carries real financial and regulatory consequences. You will be involved from the earliest stages of development, defining acceptance criteria, building test frameworks, and ensuring that every component of the system meets the accuracy and reliability standards required before it goes near a production compliance workflow.

Key Responsibilities

Test Strategy & Planning

•       Develop and own the overall test strategy for the platform, covering all layers — data pipelines, ML models, APIs, application services, and frontend interfaces.

•       Work with the Product Manager to define acceptance criteria for every user story before development begins, not after.

•       Define accuracy and reliability thresholds for each ML model in scope — what performance levels are required before a model is considered production-ready.

•       Maintain a living test plan that evolves with the product as new use cases are added.

Functional & Business Logic Testing

•       Translate compliance rules and business logic into structured, executable test cases.

•       Work closely with the subject matter experts to identify edge cases and exception scenarios that automated tests must cover.

•       Validate that AI outputs — channel routing decisions, classification recommendations, and generated responses — are correct against defined compliance ground truth.

•       Test end-to-end workflows from data ingestion through to user-facing outputs, ensuring correctness at every stage.

ML & AI System Testing

•       Build regression test suites for all deployed models so that retraining does not break existing correct behaviours.

•       Test model outputs for consistency, groundedness, and accuracy using both automated evaluation and structured manual review.

•       Validate fallback mechanisms — ensure the system behaves correctly when model confidence is low or an upstream service is unavailable.

•       Test feedback loop integrity — verify that validator decisions are correctly captured and routed to the model retraining pipeline.

API & Integration Testing

•       Build and maintain API test suites for all integration endpoints — covering correctness, error handling, and edge cases.

•       Perform load and performance testing on real-time inference endpoints to validate behaviour under expected production volumes.

•       Test all third-party and government portal integrations against documented API contracts, including failure and retry scenarios.

User Acceptance & Production Readiness

•       Coordinate and facilitate user acceptance testing with the RIL compliance and assurance teams.

•       Produce a formal production readiness assessment before each deployment, documenting what has been tested, what passed, and any known residual risks.

•       Monitor for defects in production and manage the defect lifecycle through to resolution.

Required Qualifications

Education

•       B.E. / B.Tech / M.Tech in Computer Science, Information Technology, or a related field.

Experience

•       4+ years of QA engineering experience with at least 2 years testing AI, ML, or data-heavy systems in production.

•       Experience writing and maintaining automated test frameworks, not just manual testing.

•       Demonstrated ability to translate complex business rules into structured test cases.

Technical Skills

•       Test Automation: Pytest, Selenium, Playwright, or equivalent for backend and frontend automation.

•       API Testing: Postman, REST-assured, or equivalent; experience with contract testing.

•       Performance Testing: Locust, JMeter, or equivalent for load and stress testing.

•       ML Testing: Experience validating ML model outputs, building evaluation datasets, and running regression suites against retrained models.

•       Data Testing: Experience validating data pipeline outputs — schema checks, completeness, and consistency.

•       Languages: Python for test scripting and automation.

•       CI Integration: Experience integrating test suites into CI/CD pipelines for automated test execution.

Preferred Qualifications

•       Prior experience testing compliance, fintech, or legal technology systems where business logic accuracy is critical.

•       Familiarity with LLM evaluation frameworks — RAGAS, TruLens, or equivalent.

•       Experience with exploratory testing techniques for AI systems where outputs are probabilistic.

•       Prior exposure to regulated environments where formal sign-off and test documentation are required.

About the Programme

Developing an enterprise AI platform focused on financial compliance and intelligence.

Role Overview

We are looking for a Backend Engineer to own the integration layer of the platform. You will build the APIs and services that connect AI outputs back into operational workflows, integrate with government portals and external data sources, and ensure that the system interacts reliably with RIL’s existing infrastructure. This role requires equal measures of technical rigour and pragmatism to deliver reliably within a fast-moving build timeline.

Key Responsibilities

Integration Mapping & Design

•       Work with the Solutions Architect to map every integration touchpoint — ERP workflow interfaces, government portals, supplier portals, and banking feeds.

•       Understand the latency requirements for each integration and design accordingly — real-time endpoints and batch integrations have fundamentally different design constraints.

•       Design robust fallback mechanisms for every integration — if the AI model is unavailable or low-confidence, the system must degrade gracefully without blocking operational workflows.

Real-Time API Development

•       Design and implement the API layer that connects the AI inference layer to operational systems — clean contracts, versioned endpoints, and clear error responses.

•       Ensure all real-time integrations are built with resilience patterns — circuit breakers, retry logic, timeouts, and graceful degradation under load.

Government Portal & External Integrations

•       Build integrations with government portal APIs for inward supply data, vendor return filing status, and notice data where available via official channels.

•       Build the integration with the customs data portal

•       Manage the specific constraints of government API ecosystems — rate limits, authentication flows, schema changes, and reliability issues that differ significantly from commercial APIs.

Monitoring & Production Stability

•       Build API monitoring and alerting covering latency, error rates, and upstream availability so integration failures are caught before they affect the compliance team.

•       Work with the MLOps Engineer to ensure model inference endpoints are stable and performant enough for the real-time integration to depend on.

•       Maintain clear API documentation so the Full Stack Engineer and other squad members can consume integrations without dependency.

Required Qualifications

Education

•       B.E. / B.Tech / M.Tech in Computer Science, Information Technology, or a related field.

Experience

•       5+ years of backend engineering experience with a focus on API design and enterprise system integration.

•       Proven experience building and maintaining production-grade integrations with complex or legacy enterprise systems.

•       Experience with real-time, latency-sensitive API development in an operational context.

Technical Skills

•       Languages: Python (primary); working knowledge of at least one of Java, Go, or Node.js.

•       API Design: REST API design principles, versioning, authentication (OAuth 2.0, API keys, mTLS), and contract-first development.

•       Resilience Patterns: Circuit breakers, retry logic, rate limiting, bulkheads, and graceful degradation.

•       ERP Integration: Experience integrating with SAP or equivalent large ERP systems — BAPIs, RFC calls, or event-driven extraction patterns strongly preferred.

•       Async & Messaging: Kafka, RabbitMQ, or equivalent for event-driven integration patterns.

•       Containerisation: Docker and Kubernetes for deploying and managing API services.

•       Observability: API monitoring, distributed tracing (Jaeger, Zipkin, or equivalent), and structured logging.

Preferred Qualifications

•       Prior experience with government API ecosystems — GSTN, ICEGATE, or similar; understanding of their specific constraints and reliability characteristics.

•       Experience building integrations that serve ML model inference endpoints in a production setting.

•       Familiarity with SAP integration patterns — SAP BTP, OData services, or SAP API Hub.

•       Prior work in fintech, compliance, legal technology, or similarly regulated environments.

•       Experience with API gateway tooling — Kong, AWS API Gateway, or equivalent.

About the Programme

Developing an enterprise AI platform focused on financial compliance and intelligence

Role Overview

We are looking for a Full Stack Engineer to own both the application layer and the user-facing interfaces of the platform. You will build the backend services that power core workflows — case management, exception handling, and feedback loops — as well as the interfaces through which the compliance and assurance teams interact with the system. You are comfortable owning both layers and moving fluidly between them.

Key Responsibilities

Application Backend

•  Design and build the core application services powering the platform — exception case management, workflow state tracking, audit logging, and user action recording.

•  Build the feedback mechanism that captures validator decisions and overrides and routes them back to the AI layer for model improvement

•  Own the data models for all application-layer entities — exception cases, workflow states, user actions, and decision history.

•  Build and maintain the API endpoints consumed by the frontend, with clear contracts, versioning, and error handling.

•  Implement role-based access control across the application — different user types within the compliance and assurance teams require different levels of access and visibility.

•  Build notification and alerting services — surfacing deadline-sensitive items and pending exceptions to the right users at the right time.

•  Ensure all application services maintain a complete audit trail, given the compliance context in which the platform operates.

Frontend & User Interfaces

•  Build the workflow interfaces used by the compliance and assurance teams — exception queues, validation screens, dashboards, and status views.

•  Surface AI outputs — confidence scores, historical context, and recommendations — in a way that is clear and actionable for non-technical users.

• Conduct working sessions with the compliance team to validate usability and incorporate feedback before deployment.

•  Maintain a consistent, functional UI across all modules of the platform.

Quality & Production Readiness

•  Write unit and integration tests for both frontend and backend components.

•  Ensure the application layer is production-ready — monitored, observable, and stable under expected load.

Required Qualifications

Education

•  B.E. / B.Tech / M.Tech in Computer Science, Information Technology, or a related field.

Experience

•   4+ years of full stack engineering experience with ownership of both frontend and backend layers in production.

• Experience building internal enterprise workflow tools or operational dashboards.

• Comfortable being the sole owner of the full stack without dedicated frontend or backend partners.

Technical Skills

•  Frontend: React or Vue.js;

•  Backend: Python or Node.js for API and service development.

•  Databases: PostgreSQL or equivalent relational database; basic familiarity with NoSQL.

•  API Design: RESTful API design and consumption; experience working against well-defined API contracts.

•  Testing: Unit and integration testing frameworks for both frontend and backend.

•  Containerisation: Docker; basic Kubernetes familiarity.

•   Version Control: Git-based workflows, code review practices.

Preferred Qualifications

•  Experience building applications that consume or display ML or AI model outputs.

•  Prior work on compliance, operations, or workflow management tools in an enterprise environment.

•  Familiarity with data visualisation libraries for building dashboards and exception reports.

•  Exposure to accessibility and usability best practices for internal tooling.

Strong Azure Databricks Engineer / Senior Data Engineer Profile

2

Mandatory (Experience 1) – Must have minimum 8+ years of overall experience in Data Engineering, Data Development, or related data technology roles, with strong hands-on experience in enterprise data pipeline development.

3

Mandatory (Experience 2) – Must have strong hands-on experience with Azure Databricks, including development and optimization of scalable data engineering workflows using Databricks and PySpark.

4

Mandatory (Experience 3) – Must have strong hands-on proficiency in PySpark/Python and SQL, with proven experience developing complex data transformations, processing workflows, and performance-optimized queries.

5

Mandatory (Experience 4) – Must have hands-on experience with Azure Data Factory (ADF) for designing, developing, and orchestrating end-to-end data pipelines and integrating data from multiple sources.

6

Mandatory (Experience 5) – Must have strong experience working on the Azure Cloud platform and associated data services, with solid understanding of data warehousing, data modeling, pipeline architecture, and enterprise data solutions.

7

Mandatory (Experience 6) – Must have hands-on experience implementing CI/CD using Azure DevOps, including deployment and release management across development, QA, and production environments.

8

Mandatory (Experience 7) – Must have proven technical leadership experience, including code reviews, enforcing development best practices, mentoring developers, and providing technical guidance to a data engineering team.

9

Mandatory (Notice Period) – Immediate joiners or candidates who can join within 15 days.

10

Mandatory (Note) - The position is open across all Cognizant offices pan India. Candidates must be willing to attend the F2F interview at the nearest Cognizant office location.

Strong MDM Tester (Master Data Management / Data Validation / SQL Testing) Profile

2

Mandatory (Experience 1) – Must have minimum 4+ years of experience in MDM Testing, Data Testing, Database Testing, ETL Testing, or Data Quality Testing.

3

Mandatory (Experience 2) – Must have hands-on experience testing Master Data Management (MDM) systems, including validation of Customer, Product, Vendor, Material, or other master data domains.

4

Mandatory (Experience 3) – Strong hands-on experience in SQL, including writing complex queries for data validation, reconciliation, and backend database testing.

5

Mandatory (Experience 4) – Must have experience performing data migration testing, data integration testing, and end-to-end validation across multiple source and target systems.

6

Mandatory (Experience 5) – Good understanding of Data Governance, Data Quality, Data Cleansing, Duplicate Management, Matching & Survivorship Rules, and master data validation processes.

7

Mandatory (Experience 6) – Must have experience working with ETL/Data Integration tools or validating data flows between enterprise applications.

8

Mandatory (Notice Period) – Immediate joiners or candidates who can join within 2–4 weeks.

9

Mandatory (Note) - The position is open across all Cognizant offices pan India. Candidates must be willing to attend the F2F interview at the nearest Cognizant office location.

10

Preferred (Platform) – Exposure to Informatica MDM, SAP MDG, Reltio, Semarchy, IBM InfoSphere MDM, Stibo, or similar MDM platforms.

Roles & Responsibilities

• Design, develop, and deliver scalable end-to-end data pipelines using Azure Data Factory, ensuring robust integration

of enterprise-wide data from diverse sources

• Build and optimize data engineering workflows using Databricks and PySpark

• Write efficient, high-performance SQL for data transformation and analysis

• Work with the Azure Cloud platform and associated services, applying strong understanding of data warehousing,

data models, and pipelines

• Provide technical leadership to a team of developers, including code reviews and enforcing best practices across the

development lifecycle

• Oversee CI/CD implementation using Azure DevOps, managing deployments across development, QA, and production

environments with proper change control processes

• Collaborate with cross-functional teams to translate business requirements into scalable data solutions

• Ensure data quality, reliability, and performance across all pipelines and platforms

Ideal Candidate

1Strong Azure Databricks Engineer / Senior Data Engineer Profile

2Mandatory (Experience 1) – Must have minimum 8+ years of overall experience in Data Engineering, Data Development, or related data technology roles, with strong hands-on experience in enterprise data pipeline development.

3Mandatory (Experience 2) – Must have strong hands-on experience with Azure Databricks, including development and optimization of scalable data engineering workflows using Databricks and PySpark.

4Mandatory (Experience 3) – Must have strong hands-on proficiency in PySpark/Python and SQL, with proven experience developing complex data transformations, processing workflows, and performance-optimized queries.

5Mandatory (Experience 4) – Must have hands-on experience with Azure Data Factory (ADF) for designing, developing, and orchestrating end-to-end data pipelines and integrating data from multiple sources.

6Mandatory (Experience 5) – Must have strong experience working on the Azure Cloud platform and associated data services, with solid understanding of data warehousing, data modeling, pipeline architecture, and enterprise data solutions.

7Mandatory (Experience 6) – Must have hands-on experience implementing CI/CD using Azure DevOps, including deployment and release management across development, QA, and production environments.

8Mandatory (Experience 7) – Must have proven technical leadership experience, including code reviews, enforcing development best practices, mentoring developers, and providing technical guidance to a data engineering team.

9Mandatory (Notice Period) – Immediate joiners or candidates who can join within 15 days.

10Mandatory (Note) - The position is open across all Cognizant offices pan India. Candidates must be willing to attend the F2F interview at the nearest Cognizant office location.

Social Media Analyst

Company: KAnalytics

Location: Goregaon West, Mumbai, Maharashtra

Work Mode: Work from Office

Employment Type: Full-Time

Experience: 2–3 Years

Work Schedule: 6 Days Working | 1 Rotational Weekly Off

Shift: Rotational Shifts | 9-Hour Shift

Joining: Immediate Joiners Preferred

About the Role

KAnalytics is looking for a Social Media Analyst with 2–3 years of experience in social media listening, media monitoring, and content analysis.

The role involves monitoring online conversations, analysing sentiment and trends, identifying emerging narratives, and preparing insights to understand brand and public perception across social media platforms.

Key Responsibilities

• Monitor and analyse social media conversations across Instagram, X (Twitter), and Facebook.
• Conduct sentiment analysis across positive, negative, and neutral conversations.
• Identify important conversations, emerging trends, narratives, and issues.
• Analyse brand perception and public sentiment across online platforms.
• Perform social media listening and content analysis.
• Identify meaningful patterns and insights from social media conversations.
• Prepare clear and concise analytical reports.
• Present findings and insights to internal stakeholders when required.
• Track relevant online conversations and highlight significant developments.

Requirements

• 2–3 years of experience in Social Media Listening, Social Media Analysis, Media Monitoring, Digital Intelligence, or a related analytical role.
• Strong analytical and observational skills.
• Good understanding of social media platforms and online conversations.
• Ability to analyse large volumes of content and identify relevant insights.
• Good written and verbal communication skills.
• Strong attention to detail.
• Experience with social listening or media monitoring tools will be an advantage.
• This is an analytical role focused on monitoring and insights, not a social media marketing role.

Work Details

Location: Goregaon West, Mumbai

Work Mode: Work from Office

Working Days: 6 days per week

Weekly Off: 1 rotational weekly off

Shift: Rotational shifts

Shift Duration: 9 hours

Joining: Immediate joiners preferred

Preferred Candidates: Mumbai-based candidates

Compensation

Salary: ₹20,000 – ₹30,000 per month, depending on experience, skills, and suitability for the role.

How to Apply

Interested candidates can apply through Indeed with their updated resume.

Candidates may also share their resume at:

jobs(at)kanalytics(dot)com

Please mention your current CTC, expected CTC, and notice period along with your application.

Royce Jones

Sr. HR Recruiter

KAnalytics

As an AWS Platform Engineer – Security Specialist, you will be responsible for designing, building, and securing AWS platform infrastructure using Infrastructure as Code (IaC). You will implement cloud security controls, automate compliance, secure CI/CD pipelines, enable centralized monitoring, and collaborate with engineering teams to build highly secure cloud-native platforms.

Key Responsibilities

• Design, build, and secure AWS platform infrastructure using CloudFormation and Terraform.
• Implement and manage AWS security controls including IAM, KMS, Secrets Manager, and AWS Network Firewall.
• Build automated security guardrails and compliance checks using AWS Security Hub, AWS Config, and IAM Access Analyzer.
• Develop secure CI/CD pipelines with automated policy validation, vulnerability scanning, and artifact integrity checks.
• Implement centralized logging and monitoring using CloudWatch, GuardDuty, SIEM tools, and VPC Flow Logs.
• Collaborate with Application and DevOps teams to define secure architecture patterns, network segmentation, and Zero Trust controls.
• Conduct security assessments, risk reviews, and threat modeling for AWS workloads.
• Enforce tagging standards, data classification, and lifecycle policies across AWS resources.
• Support incident response, root cause analysis, remediation planning, and post-incident improvements.
• Prepare security documentation, runbooks, and platform security best practices.
• Integrate and manage security tools including SIEM, DLP, CASB, Cloud Proxy, and Isolation solutions.
• Provide guidance on AWS security, identity governance, and least-privilege access.
• Integrate AWS workloads with Security Operations Center (SOC) processes for real-time threat detection and incident response.

Must Have Skills

AWS Security

• 7+ years of experience in AWS Cloud Platform / Security Engineering.
• 3–5 years of hands-on experience in Cloud Security / Cybersecurity.
• Strong expertise in:
• AWS IAM
• AWS KMS
• AWS Security Hub
• Amazon GuardDuty
• AWS Config
• AWS WAF
• AWS Network Firewall
• Amazon VPC Security

Infrastructure as Code (IaC)

• CloudFormation
• Terraform
• AWS CDK

Cloud Security Fundamentals

• Zero Trust Architecture
• Least Privilege Access
• Encryption
• Data Protection
• Network Security

Automation & DevSecOps

• Python or Bash scripting
• Secure CI/CD pipelines
• Artifact scanning
• Secrets Management
• Pipeline hardening
• SIEM integration and centralized logging

Networking & Compliance

• Firewalls
• Proxies
• Network Segmentation
• DLP
• Isolation Solutions
• Compliance frameworks:
• GDPR
• HIPAA
• PCI DSS
• SOC 2

Data Protection

• Data Classification
• DLP Controls
• Encryption Strategy
• Secure Data Lifecycle Management

Soft Skills

• Strong analytical and troubleshooting skills
• Excellent communication and stakeholder management
• Cross-functional collaboration

Preferred Certification

• AWS Certified Security – Specialty

Good to Have Skills

• Multi-cloud security (AWS + Azure / GCP)
• ECS / EKS Container Security
• AWS Macie
• AWS Detective
• Advanced Data Governance
• Zero Trust implementations
• Azure AD / Okta SSO
• SOAR / Playbook Automation
• Splunk, Sumo Logic, Datadog
• Additional security certifications (CISSP, CISM, CCSP)
• SOC Operations (Tier 1/2/3)
• Security Incident Management
• Threat Intelligence
• Playbook Automation
• Incident Investigation, Containment, Recovery & Post-Incident Reviews

As a Senior Data Engineer, you will be responsible for designing, developing, and optimizing scalable cloud-native data platforms on AWS. You will build high-performance batch and analytical data pipelines using DBT (Cloud + Core), AWS Glue, SMUS, Redshift, Python, MWAA, APIs, and other AWS services while ensuring reliability, scalability, and operational excellence.

The role requires strong expertise in data engineering, SQL optimization, distributed data processing, and cloud-native architectures.

Must Have Primary Skills

Data Engineering

• 3+ years of hands-on experience building large-scale AWS Data Engineering solutions.
• Strong experience designing scalable batch and streaming data pipelines on AWS.
• Experience implementing monitoring, logging, alerting, and observability for production data pipelines.
• Strong understanding of data quality, troubleshooting, debugging, and production support.

DBT & Data Warehousing

• Strong hands-on experience with DBT (Cloud + Core) (Highly Recommended).
• Hands-on expertise with Amazon Redshift for Data Warehousing and Analytics.

Programming & Querying

• Strong expertise in:
• SQL (Analytical Queries, Window Functions, Stored Procedures)
• Python
• Spark / PySpark
• Strong experience in Spark/PySpark performance tuning and optimization.

Lakehouse & Apache Iceberg

• Hands-on experience designing and implementing Lakehouse solutions using Apache Iceberg.
• Experience optimizing Apache Iceberg and Amazon Aurora PostgreSQL for performance and scalability.
• Strong understanding of:
• Data Modeling
• Partitioning
• File Formats
• Lakehouse / Data Lake Architectures

AWS Cloud Services

Hands-on experience with AWS services including:

• AWS Glue
• Amazon MWAA
• Amazon EMR
• Amazon Redshift
• Amazon S3
• Amazon Athena
• AWS Glue Catalog
• Amazon Aurora PostgreSQL
• AWS Lambda
• Amazon EC2
• Amazon DynamoDB
• Amazon API Gateway
• Amazon CloudWatch
• Amazon SQS
• Amazon SNS
• Amazon EventBridge
• AWS Secrets Manager
• AWS IAM

Development Practices

• Experience with CI/CD.
• Strong knowledge of Git.
• Familiarity with Data Engineering best practices.

Soft Skills

• Strong communication skills.
• Excellent problem-solving ability.
• Stakeholder management experience.

Preferred Certification

• AWS Data Engineer Associate or equivalent AWS Certification.

Good to Have Skills

• AWS Step Functions
• Terraform / Infrastructure as Code (IaC)
• Kafka
• Hive
• HDFS
• Other Big Data technologies
• Experience using GenAI-assisted development tools such as:
• GitHub Copilot
• Cursor
• Kiro
• Similar AI coding assistants
• ClickHouse Database
• Telecom / Mobile Network domain knowledge
• AtScale design and development
• Docker
• Kubernetes 

We are looking for an experienced Application Developer to design, develop, enhance, and maintain cloud-native applications on AWS. The ideal candidate should have strong experience in modern frontend development using Next.js/Express.js and TypeScript, backend development using Python, and serverless application development on AWS.

The role involves:

• Developing and maintaining frontend applications using Next.js, React, and TypeScript.
• Developing backend services using Python and serverless AWS technologies.
• Designing and implementing AWS Lambda functions.
• Developing workflows using AWS Step Functions.
• Designing and maintaining Amazon AppSync GraphQL schemas and resolvers.
• Implementing multi-tenancy across application services.
• Building reusable, scalable, and responsive frontend components.
• Integrating frontend applications with backend APIs and cloud services.
• Participating in architecture discussions and technical design reviews.
• Debugging production issues and optimizing performance.
• Collaborating with architects, DevOps, data engineering, QA, and business teams.
• Following coding standards, cloud-native best practices, and contributing to documentation and code reviews.

Must Have Skills:

Frontend Development

• Strong JavaScript / TypeScript experience
• Hands-on experience with Next.js / Express.js
• Strong React.js proficiency
• Experience with Redux (or equivalent state management libraries)
• Good knowledge of HTML5, CSS3, and Material UI
• Experience building reusable and responsive frontend components

Backend Development

• Strong Python development experience
• Experience with Python frameworks:
• FastAPI
• Flask
• Experience building RESTful APIs and backend services

AWS & Cloud Development:

Hands-on experience with serverless AWS services including:

• AWS Lambda
• AWS DynamoDB
• AWS Step Functions
• Amazon API Gateway
• Amazon AppSync
• Amazon SQS
• Amazon SNS
• Amazon S3
• Amazon Aurora PostgreSQL
• AWS Glue (Python Shell)
• Amazon Cognito
• Amazon CloudFront

Additionally:

• Experience deploying and maintaining cloud-native applications on AWS

Collaboration

Ability to work effectively with:

• Solution Architects
• DevOps Engineers
• Data Engineers
• QA Teams
• Product Owners
• Clients and Business Stakeholders

Other Qualifications

• Experience with AWS CDK
• Exposure to microservices architecture
• Knowledge of caching, queuing, and application performance optimization
• Exposure to AWS Well-Architected Framework and application security best practices
• Experience working on data-intensive applications
• Experience in effort estimation, documentation, and sprint planning
• Experience building highly scalable and high-performance cloud applications.

Key Responsibilities

• Implement enhancements and features for business users to support audit data corrections through the web application.
• Develop new features across web applications and internal systems, including frontend enhancements, forms, and dynamic content.
• Manage databases to ensure data integrity and validation.
• Maintain database schemas and data linkages across systems.
• Perform unit testing of implemented solutions.
• Execute UI enhancements and navigation updates.
• Maintain existing code, contribute to documentation, and collaborate with cross-functional teams. 

**Hiring: Senior Human Resources Executive**

**Location:** Ghatkopar, Mumbai

**Experience:** 4+ Years

**Department:** Human Resources

**Qualification:** Any Graduate

We are looking for an experienced **Senior HR Executive** to manage and support day-to-day HR operations, recruitment, payroll coordination, employee engagement, and statutory compliance.

### Key Responsibilities

• Manage end-to-end recruitment including job postings, screening, interview coordination, and offer rollouts

• Coordinate employee onboarding, induction, documentation, and orientation

• Maintain accurate employee records, contracts, and HR documentation

• Manage attendance, leave, and absenteeism tracking

• Support monthly payroll processing, salary calculations, deductions, and payroll coordination with Finance

• Handle employee queries related to salary, benefits, policies, and grievances

• Support performance appraisals, goal setting, and probation reviews

• Coordinate employee engagement, rewards, and recognition initiatives

• Ensure compliance with PF, ESIC, gratuity, labour laws, and statutory requirements

• Support learning and development and training coordination

• Prepare and analyze HR reports and dashboards for management

• Coordinate with various departments for smooth HR operations

• Assist with HR audits and compliance reporting

### Required Skills

• Strong HR Operations experience

• Recruitment and Talent Acquisition

• Payroll and Attendance Management

• HRMS and MS Office proficiency

• Knowledge of PF, ESIC, and Gratuity

• Employee Relations and Grievance Handling

• HR Documentation and Compliance

• Good communication and interpersonal skills

• Strong organizational and problem-solving abilities

• Ability to handle confidential employee information

### Candidate Profile

• Graduate in HR, Business Administration, or a related discipline preferred

• 4+ years of relevant HR experience

• Candidates with hands-on experience in HR Operations, Payroll, and Recruitment will be preferred

• Should be comfortable working in a fast-paced environment and handling multiple HR responsibilities

**Job Location:** Ghatkopar, Mumbai

Job Summary

We are looking for a Fashion Consultant to provide personalized styling and fashion advice to customers, understand their requirements, and drive sales by recommending suitable products and looks.

Key Responsibilities

Assist customers in selecting outfits based on their preferences, body type, occasion, and budget.

Provide personalized fashion and styling consultations.

Understand current fashion trends and product collections.

Achieve individual and store sales targets.

Build strong relationships with customers and ensure a premium shopping experience.

Suggest outfit combinations, accessories, and complete looks.

Maintain knowledge of fabrics, fits, colors, and styling techniques.

Handle customer queries and provide excellent after-sales service.

Maintain visual merchandising and presentation standards.

Coordinate with the store/team to ensure smooth day-to-day operations.

Requirements

1–3 years of experience in fashion retail, styling, personal shopping, or luxury retail.

Strong knowledge of fashion trends and styling.

Excellent communication and interpersonal skills.

Customer-oriented with strong sales ability.

Good presentation and grooming.

Ability to understand customer preferences and recommend suitable products.

Qualification in Fashion Design / Fashion Styling / Retail Management is preferred

About EasyEcom

EasyEcom is a multi-product ecommerce operations platform for brands and 3PLs, spanning order and inventory management, warehouse operations, and built-in reconciliation and accounting, the capability that sets us apart from pure WMS platforms. We power 1,800+ brands and 3PLs across 12+ countries, with 455+ integrations, 5B+ orders processed, and $8.1B in GMV flowing through the platform at 99.9% uptime. Customers include Borosil, Relaxo, Swiss Military, and Kimirica, across North America, Europe, MENA, and Southeast Asia. We are backed by IndiaMART, and we are still building fast.

Roles and Responsibilities

● Manage the end-to-end onboarding journey for new clients.

● Understand customer business requirements and configure the platform accordingly.

● Conduct product demonstrations, onboarding sessions(configurations, integrations etc), and user training.

● Guide clients through implementation and ensure timely go-live.

● Resolve client queries and coordinate with the Internal teams whenever required.

● Build strong relationships with clients and ensure a positive onboarding experience.

● Track onboarding milestones and maintain accurate implementation documentation.

● Identify process improvements and share client feedback with internal teams.

● Ensure customers are confident using the platform before transitioning them to the Customer Success team.

● Travel across India as and when required for implementation and client meetings.

Preferred Qualifications

● Bachelor's degree in Business, Engineering, IT, or a related discipline. ● Prior experience with SaaS products, ERP, OMS, WMS, or eCommerce platforms will be an added advantage.

● Knowledge of marketplaces such as Amazon, Flipkart, Myntra, Shopify, or similar ecosystems is a plus.

As the Digital Product Manager, you will be responsible for defining product requirements, managing the product roadmap, coordinating software development, and ensuring the successful delivery of new features and enhancements. In addition, you will own the day-to-day management of the Open Axis website, including content updates, UI improvements, deployments, maintenance, and performance optimization.

You will work closely with business stakeholders, external technology partners, and internal teams to build digital solutions that enhance customer experience and support the company's long-term growth.

Key Responsibilities

Product Strategy & Management

Own and manage the product roadmap in alignment with business objectives and strategic priorities.

Gather, analyze, and document business requirements from internal and external stakeholders.

Translate business requirements into user stories, functional specifications, workflows, and detailed acceptance criteria.

Manage and prioritize the product backlog based on business value and customer needs.

Coordinate feature planning, sprint execution, testing, bug resolution, and production releases.

Conduct User Acceptance Testing (UAT) and ensure all releases meet business and quality standards.

Identify opportunities to improve user experience, operational efficiency, automation, and overall platform performance.

Maintain comprehensive product documentation, workflows, release notes, and functional specifications.

Website & Digital Platform Management

Own the day-to-day maintenance, administration, and continuous improvement of the Open Axis corporate website built using Node.js and React.

Independently implement website content updates, UI enhancements, bug fixes, and minor-to-medium complexity feature improvements.

Monitor website performance, uptime, responsiveness, security, SEO, and overall user experience.

Troubleshoot website issues and ensure minimal downtime through proactive monitoring and timely resolution.

Manage website deployments, version control, backups, hosting infrastructure, SSL certificates, DNS records, and domain administration.

Coordinate with marketing and leadership teams to publish landing pages, announcements, product updates, and new website content.

Ensure the website follows modern SEO practices, accessibility guidelines, performance optimization techniques, and security standards.

Maintain technical documentation for deployments, configurations, updates, and website infrastructure.Technical Coordination & Vendor Management

Serve as the primary point of contact between Open Axis and external technology partners, including Webkul and other vendors.

Coordinate software development activities, feature implementation, bug fixes, testing, and production deployments.

Minimum 4 to 5 years of experience in Product Management, Digital Product Management, Business Analysis, or a similar role.

Proven experience managing web-based products or digital platforms throughout the complete product lifecycle.

Hands-on experience maintaining and supporting websites built using Node.js and React.

Experience working with software development teams and external technology vendors.

Strong experience coordinating website maintenance, deployments, feature releases, bugtracking, and enhancements.

Experience working in Agile environments using tools such as Jira, Confluence, or similar projectmanagement platforms.

Experience troubleshooting and implementing minor-to-medium complexity websiteenhancements independently.

Experience managing website hosting, SSL certificates, DNS records, cloud infrastructure,backups, and production deployments.

Experience with B2B marketplaces, e-commerce, SaaS, logistics, supply chain, or fintechplatforms will be an advantage.

Experience with cloud hosting platforms such as AWS, Azure, DigitalOcean, or similar ispreferred.

Educational Qualifications

Bachelor's degree in Computer Science, Information Technology, Software Engineering, Computer Engineering, or a related technical discipline.

An MBA in Product Management, Technology Management, Operations, Information Systems, or a related field will be an added advantage.

Strong understanding of:

Modern web application architecture

REST APIs

Databases

Software Development Life Cycle (SDLC)

Agile development methodologies

Hands-on experience with Node.js and React is mandatory for this role. Technical Skills

JavaScript (ES6+)

HTML5

CSS3

Git / GitHub

REST APIs

SQL / NoSQL databases

Jira / Confluence

Website deployment and hosting

Cloud platforms (AWS, Azure, DigitalOcean, or similar)

SEO fundamentals and website performance optimization

Core Competencies

Strong business analysis and requirement gathering skills.

Excellent stakeholder and vendor management capabilities.

Strong analytical thinking and problem-solving abilities.

Experience writing user stories, acceptance criteria, and functional specifications.

Excellent communication, documentation, and presentation skills.

Strong understanding of Agile software development practices.

Ability to manage multiple priorities in a fast-paced startup environment.

High ownership mindset with the ability to work independently.

Strong cross-functional collaboration and decision-making skills.

Attention to detail and commitment to delivering high-quality digital products.

About AuxoAI:

AuxoAI is a global platform-based services firm. We help companies—turn their strategies into practical digital and AI solutions. By understanding how our clients make decisions, we use digital and Artificial Intelligence (AI) technologies to drive growth, enhance their operations, improve customer experiences, and provide clear, actionable insights from their data. What We Do We work across various industries such as healthcare, high-tech, consumer packaged goods (CPG), finance etc., and in sales, marketing, and customer support functions.

We help our clients with accelerating their digital and AI journeys through:

• AI Application Development

• Data, Digital and Cloud acceleration using AI

• AI Native Product Engineering

We are seeking a skilled and experienced Data Engineer to join our dynamic team. The ideal candidate will have 6+ years of prior experience in data engineering, with a strong background in AWS (Amazon Web Services) technologies. This role offers an exciting opportunity to work on diverse projects, collaborating with cross-functional teams to design, build, and optimize data pipelines and infrastructure.

Responsibilities:

* Design, develop, and maintain scalable data pipelines and ETL processes leveraging AWS services such as S3, Glue, EMR, Lambda, and Redshift.

* Collaborate with data scientists and analysts to understand data requirements and implement solutions that support analytics and machine learning initiatives.

* Optimize data storage and retrieval mechanisms to ensure performance, reliability, and cost-effectiveness.

* Implement data governance and security best practices to ensure compliance and data integrity.

* Troubleshoot and debug data pipeline issues, providing timely resolution and proactive monitoring.

* Stay abreast of emerging technologies and industry trends, recommending innovative solutions to enhance data engineering capabilities.

Requirements :

* Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

* 6+ years of prior experience in data engineering, with a focus on designing and building data pipelines.

* Proficiency in AWS services, particularly S3, Glue, EMR, Lambda, and Redshift.

* Strong programming skills in languages such as Python, Java, or Scala.

* Experience with SQL and NoSQL databases, data warehousing concepts, and big data technologies.

* Familiarity with containerization technologies (e.g., Docker, Kubernetes) and orchestration tools (e.g., Apache Airflow) is a plus.