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• Understanding business objectives and designing surveys to discover prospective customers preferences
• Perform a valid and reliable market research SWOT analysis
• Provide competitive analysis on various companys market offerings, identify market trends, pricing/business models, sales and methods of operation
• Collecting data on customers, competitors and marketplace and consolidating information into actionable items, reports, and presentations.
• Analyze and interpret data to identify patterns and solutions, including surveys and focus group transcripts
• Develop industry-specific, vertical-level nuances as the function matures
• Actively develop domain expertise, leveraging subject matter experts, and external sources
• Remain fully informed on market trends, other parties researches and implement best practices
• Managing existing clients, responding to them on calls, email and visits.
• Follow up on collections for overdue invoices
• Checking the internal orders, supply management and resolving quality issues if any
• Development of new business, filling new tenders and follow up on prospective Business
• Collecting market information
• Timely escalation of matters to top management for timely resolution.
• Submission of MIS Reports

Senior Datadog Platform Engineer / Observability Developer

We are looking for an experienced Datadog Engineer to manage and enhance enterprise observability and monitoring platforms across Azure Cloud and Azure DevOps environments.

Required Experience

• 6–10 years of overall IT experience
• 4–6 years of strong hands-on Datadog experience
• Experience with Azure Cloud, Azure DevOps, CI/CD, and enterprise integrations
• Strong knowledge of automation, observability, and platform engineering

Key Responsibilities

• Configure and manage Datadog platform, dashboards, alerts, logging, APM, and observability solutions
• Develop automation and reusable frameworks using Datadog APIs, scripting, and CI/CD pipelines, Azure Cloud services, Azure DevOps, Jira, Kubernetes, and enterprise applications
• Implement Monitoring-as-Code and Dashboard-as-Code standards
• Support onboarding, telemetry integration, operational workflows, and platform optimization

Preferred Skills

• Datadog platform engineering and integrations
• Azure Cloud and Azure DevOps
• Python, PowerShell, YAML, JSON, APIs
• CI/CD pipelines and automation
• Kubernetes / AKS and cloud-native platforms

Soft Skills

• Strong communication and stakeholder management
• Good troubleshooting and problem-solving skills
• Ability to work independently and drive ownership
• Strong collaboration and documentation skills

Strong Data engineer profile

Mandatory (Experience 1): Must have 2+ years of hands-on Data Engineering experience.

Mandatory (Experience 2): Must have end-to-end experience in building & maintaining ETL/ELT pipelines (not just BI/reporting).

Mandatory (Technical 1): Must have strong SQL capability (complex queries + optimization).

Mandatory (Technical 2): Must have hands-on Databricks experience.

Mandatory (Role Requirement): Must be able to work independently, troubleshoot data issues, and manage large datasets.

Candidate must be from Creative Agency or Marketing Agency background ONLY (Non Negotiable).

Candidate must have 12 years of experience in advertising / marketing with proven senior creative leadership exposure.

Candidate must have experience leading large creative teams within reputed agencies.

Candidate must have a strong portfolio of high-impact, multi-platform campaigns (digital + traditional).

Candidate should have deep understanding of traditional and digital marketing ecosystems.

Candidate should have strong client-facing and senior stakeholder management capabilities.

Candidate must have the ability to define creative vision, drive innovation, and lead agency transformation.

What This Role Offers

• Direct access to founders — plus the runway to build your own e-comm brand.
• Creative freedom to experiment with formats, hooks, and trends — and ship fast.
• Massive visibility — your work will reach millions across India and the world.
• A front-row seat to scaling a fast-growing, publicly listed fashion brand.

Not the Right Fit If You

• Don’t understand technical concepts like Browser mechanics, Database management, Security.
• Need heavy scripting or step-by-step creative direction to ship.
• Haven’t contributed to Open Source before.
• Want a purely managerial/strategist role with minimal hands-on creation.

Pro Tip: share your portfolio of past tech products you’ve made and notice our speed at responding ;)

What Makes You the Perfect Fit:

• Technical Foundation: BSc in Computer Science (or equivalent) and prior experience as a Software Engineer—comfortable reading and writing code when needed
• Automation & No-Code Expertise: Proven track record implementing at least two enterprise-grade SaaS or no-code tools (e.g., Coda, Zapier, Make.com, n8n) across multiple teams
• Process-First Mindset: You see operations as a canvas—love mapping workflows, spotting bottlenecks, and reimagining end-to-end processes
• Cross-Functional Communicator: Skilled at translating technical capabilities into clear business solutions, training non-technical stakeholders, and fostering user adoption
• Continuous Learner: Passionate about evaluating the latest AI and automation platforms—constantly asking, “How can this tool make us faster, smarter, and more resilient?”

Why Work With Us & What’s In It For You

• End-to-End Problem Solving: You’ll get to deconstruct real-world retail challenges—from inventory bottlenecks to customer experience gaps—fueling your curiosity and sparking ideas for building your own SaaS ventures down the road.
• Deep Customer Insight: By collaborating closely with frontline teams and engaging directly with customers, you’ll develop a keen understanding of business grievances and the “voice of the customer,” sharpening your ability to design solutions that truly matter.
• Avant-Garde Tool Playground: This isn’t a sandbox—it’s a live environment. You’ll have the freedom and support to evaluate, pilot, and roll out cutting-edge AI and SaaS platforms in mission-critical contexts, measuring impact in real time.
• High-Impact Role: You’ll be the catalyst for digital transformation across every function of a fast-growing public company.
• End-to-End Visibility: From sourcing raw materials to delighting end-customers, you’ll see firsthand how your solutions ripple through each stage of our business.

What You’ll Do:

• Drive Process Reforms: Map existing workflows across Sales, Sourcing, Retail, E-commerce, Marketing, Accounts, Finance, Legal, and other functions—identify inefficiencies and redesign for speed, accuracy, and scalability.
• Document & Diagram Workflows: Create clear process documentation and visual workflow diagrams for every automation and tool integration to ensure transparency and maintainability.
• Produce Training Content: Develop short, engaging video tutorials and introductory demos that walk teams through new SaaS/no-code tools and AI workflows, ensuring rapid adoption and self-service capability.
• Implement Modern SaaS using Vibe Coding & No-Code Solutions: Lead the roll-out of platforms such as Coda, Make, Zapier, n8n, and generative-AI services—build custom dashboards, automated notifications, data integrations, and self-service portals for each department.
• Cross-Department Collaboration: Partner with stakeholders from every team to define requirements, pilot new systems, gather feedback, and scale solutions—ensure adoption through workshops, documentation, and ongoing support.
• Prototype & Experiment Rapidly: Develop proof-of-concept automations and AI workflows; conduct quick A/B tests to validate impact on KPIs like turnaround time, error rates, and employee satisfaction.
• Scale & Standardize: Once a tool or process shows positive ROI, establish best practices, security guidelines, and governance frameworks to ensure consistency and compliance across the organization.

sales engineer data center MEP or power science industry electrical systems power destributions

mechanical HVAC Systems or other MEP companies

sales in B2B space in techanical industry

Min 4 Years Experience in Embbeded domain

1. C++

2. C++ ★ Profinet ProfiSAFE ★ Embedded RTOS

3. rtos c c++ python ★ Industrial protocols Embedded Security Threat Modeling ★ Embedded C Embedded Linux

4. Embedded Systems ★ Embedded C ★ C++ ★ RTOS

Data Analyst

Job Description

Are you passionate about handling large & complex data problems, want to make an impact and have the desire to work on ground-breaking big data technologies? Then we are looking for you.

At Amagi, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Would you like to work in a fast-paced environment where your technical abilities will be challenged on a day-to-day basis? If so, Amagi’s Data Engineering and Business Intelligence team is looking for passionate, detail-oriented, technical savvy, energetic team members who like to think outside the box.

Amagi’s Data warehouse team deals with petabytes of data catering to a wide variety of real-time, near real-time and batch analytical solutions. These solutions are an integral part of business functions such as Sales/Revenue, Operations, Finance, Marketing and Engineering, enabling critical business decisions. Designing, developing, scaling and running these big data technologies using native technologies of AWS and GCP are a core part of our daily job.

• Experience in building highly cost optimised data analytics solutions
• Experience in designing and building dimensional data models to improve accessibility, efficiency and quality of data
• Experience (hands on) in building high quality ETL applications, data pipelines and analytics solutions ensuring data privacy and regulatory compliance.
• Experience in working with AWS or GCP
• Experience with relational and NoSQL databases
• Experience to full stack web development (Preferably Python)
• Expertise with data visualisation systems such as Tableau and Quick Sight
• Proficiency in writing advanced SQL queries with expertise in performance tuning handling large data volumes
• Familiarity with ML/AÍ technologies is a plus
• Demonstrate strong understanding of development processes and agile methodologies
• Strong analytical and communication skills. Should be self-driven, highly motivated and ability to learn quickly

Data Analytics is at the core of our work, and you will have the opportunity to:

• Design Data-warehousing solutions on Amazon S3 with Athena, Redshift, GCP Bigtable etc
• Lead quick prototypes by integrating data from multiple sources
• Do advanced Business Analytics through ad-hoc SQL queries
• Work on Sales Finance reporting solutions using tableau, HTML5, React applications

We build amazing experiences and create depth in knowledge for our internal teams and our leadership. Our team is a friendly bunch of people that help each other grow and have a passion for technology, R&D, modern tools and data science.

Our work relies on deep understanding of the company needs and an ability to go through vast amounts of internal data such as sales, KPIs, forecasts, Inventory etc. One of the key expectations of this role would be to do data analytics, building data lakes, end to end reporting solutions etc. If you have a passion for cost optimised analytics and data engineering and are eager to learn advanced data analytics at a large scale, this might just be the job for you..

A bachelor’s/master’s degree in Computer Science with 5 to 7 years of experience and previous experience in data engineering is a plus.

This person MUST have:

• Min of 3-5 prior experience as a DevOps Engineer.
• Expertise in CI/CD pipeline maintenance and enhancement specifically Jenkins based pipelines.
• Working experience with engineering tools like git, git work flow, bitbucket, JIRA etc
• Hands-on experience deploying and managing infrastructure with CloudFormation/Terraform
• Experience managing AWS infrastructure
• Hands on experience of Linux administration.
• Basic understanding of Kubernetes/Docker orchestration
• Works closely with engineering team for day to day activities
• Manges existing infrastructure/Pipelines/Engineering tools (On Prem or  AWS) for engineering team (Build servers/Jenkin nodes etc.)
• Works with engineering team for new config required for infra like replicating the setups, adding new resources etc.
• Works closely with engineering team for improving existing pipelines for build .
• Troubleshoots problems across infrastructure/services

Experience:

• Min 5-7  year experience

Location

• Remotely, anywhere in India

Timings:

• 40 hours a week (11 AM to 7 PM).

Position:

• Full time/Direct
• We have great benefits such as PF, medical insurance, 12 annual company holidays, 12 PTO leaves per year, annual increments, Diwali bonus, spot bonuses and other incentives etc.
• We dont believe in locking in people with large notice periods.  You will stay here because you love the company.  We have only a 15 days notice period.