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Mosaic is looking for a Senior Executive in Ecommerce. 

Managing efforts across all marketplaces. Revenue numbers across these channels would be your primary KPI. You would also be expected to oversee and manage the operational aspects. 

Responsibilities 

• Define, develop and constantly optimize digital solutions to meet the goals and KPIs by developing and A/B Testing campaign strategies, landing pages & pricing strategies 
• Maintain the online listing sheet for the brand and make updates as products are added,prices are changed etc.
• Audit all online listings on a weekly basis and ensure that changes are made if there areany errors.
• Develop strong relationships with various Ecommerce Portals representatives to help drive sales 
• Keep collecting data for platforms e.g. top selling products, competitor performance,advertising mechanisms etc.
• As the Ecommerce Specialist you will own our objective to ensure our products and assets are created and deployed perfectly across retailer websites such as Amazon, Ocado, Tesco and our products featured on our own Beauty and Personal Care brand websites.
• Coordinate with the Logistics team to ensure proper supply at different warehouses
•  Work with the Design team to help develop best in class advertising creatives

Requirements 

• Lots of drive and comfortable with A/B testing multiple approaches to get the end result 
• Expected to work as an individual contributor 
• Strong interpersonal skills to work with cross functional teams 
• Ability to work under deadlines and manage multiple projects at once & thrive in an unstructured environment 
• Ability to cater product pitch to the specific target audience, and getting the best communication out to drive sales.

Websites.co.in

Role overview

You will support our SEO efforts by creating high quality backlinks for websites.co.in. The work includes researching websites, identifying link opportunities, submitting content on approved platforms, and tracking backlinks.

What you will do

• Create backlinks using directories, guest posts, social profiles, bookmarking, forum participation and outreach

• Maintain a daily log of links created

• Research competitor backlinks and replicate the ones that make sense

• Follow SEO guidelines to avoid spammy link building

• Coordinate with the SEO lead for weekly targets

• Ensure all backlinks meet quality standards set by the team

Requirements

• Basic understanding of SEO and off-page optimization

• Ability to research and identify credible backlink sources

• Strong attention to detail

• Good written English

• Laptop and stable internet connection

• Able to commit minimum 3 months

What you get

• Internship certificate

• Stipend based on performance

• Real world SEO experience working on a live, high-traffic product

• Opportunity to learn tools like Ahrefs, SEMrush, and Search Console

Work mode

Fully remote, daily reporting, flexible timings.

Director - Data engineering

What are we looking for

real solver?

Solver? Absolutely. But not the usual kind. We're searching for the architects of the audacious & the pioneers of the possible. If you're the type to dismantle assumptions, re-engineer ‘best practices,’ and build solutions that make the future possible NOW, then you're speaking our language.

Your Responsibilities

what you will wake up to solve.

1. Delivery & Tactical Rigor

• Methodology Implementation: Implement and manage a unified, 'DataOps-First' methodology for data engineering delivery (ETL/ELT pipelines, Data Modeling, MLOps, Data Governance) within assigned business units. This ensures predictable outcomes and trusted data integrity by reducing architecture variability at the project level.
• Operational Stewardship: Drive initiatives to optimize team utilization and enhance operational efficiency within the practice. You manage the commercial success of your squads, ensuring data delivery models (from migration to modern data stack implementation) are executed profitably, scalably, and cost-effectively.
• Execution & Technical Resolution
• Technical Escalation: Serve as the primary escalation point for delivery issues, personally leading the resolution of complex data integration bottlenecks and pipeline failures to protect client timelines and data reliability standards.
• Quality Enforcement
• Quality Oversight: Execute and monitor technical data quality standards, ensuring engineering teams adhere to strict policies regarding data lineage, automated quality checks (observability), security/privacy compliance (GDPR/CCPA/PII), and active catalog management.

2. Strategic Growth & Practice Scaling

• Talent & Scaling Execution: Execute the strategy for data engineering talent acquisition and development within your business units. Implement objective metrics to assess and grow the 'Data-Native' DNA of your teams, ensuring squads are consistently equipped to handle petabyte-scale environments and high-impact delivery.
• Offerings Alignment: Drive the adoption of standardized regional offerings (e.g., Modern Data Platform, Data Mesh, Lakehouse Implementation). Ensure your teams leverage the profitable frameworks defined by the practice to accelerate time-to-insight and eliminate architectural fragmentation in client environments.
• Innovation & IP Development: Lead the practical integration of Vector Databases and LLM-ready architectures into project delivery. Champion the hands-on development of IP and reusable accelerators (e.g., automated ingestion engines) that improve delivery speed and enhance data availability across your portfolio.

3. Leadership & Unit Management

• Unit Leadership: Directly lead, mentor, and manage the Engineering Managers and Lead Architects within your business unit. Hold your teams accountable for project-level operational consistency, technical talent development, and strict adherence to the practice's data governance standards.
• Stakeholder Communication: Clearly articulate the business unit’s operational performance, technical quality metrics, and delivery progress to the C-suite Stakeholders and regional client leadership, bridging the gap between technical execution and business value.
• Ecosystem Alignment: Maintain strong technical relationships with key partner contacts (Snowflake, Databricks, AWS/GCP). Align team delivery capabilities with current product roadmaps and ensure squad-level participation in training, certifications, and partner-led enablement opportunities.

Welcome to Searce

The ‘process-first’, AI-native modern tech consultancy that's rewriting the rules.

We don’t do traditional.

As an engineering-led consultancy, we are dedicated to relentlessly improving the real business outcomes. Our solvers co-innovate with clients to futurify operations and make processes smarter, faster & better.

Functional Skills

1. Delivery Management & Operational Excellence

• Methodology Execution: Expert capability in implementing and enforcing a unified delivery methodology (DataOps, Agile, Mesh Principles) within specific business units. Proven track record of auditing squad-level adherence to ensure consistency across the project lifecycle.
• Operational Performance: High proficiency in managing day-to-day operational metrics, including squad utilization, resource forecasting, and productivity tracking. Skilled at optimizing team performance to meet profitability and efficiency targets.
• SOW & Risk Mitigation: Proven experience in operationalizing Statement of Work (SOW) requirements and identifying technical delivery risks early. Expert at mitigating scope creep and data-specific bottlenecks (e.g., latency, ingestion gaps) before they impact client outcomes.
• Technical Escalation Leadership: Demonstrated ability to lead "war room" efforts to resolve complex pipeline failures or data integrity issues. Skilled at providing clear, rapid remediation plans and communicating technical status directly to regional stakeholders.

2. Architectural Implementation & Technical Oversight

• Modern Stack Proficiency: Deep, hands-on expertise in implementing Cloud-Native architectures (Lakehouse, Data Mesh, MPP) on Snowflake, Databricks, or hyperscalers. Ability to conduct deep-dive architectural reviews and course-correct design decisions at the squad level to ensure scalability.
• Operationalizing Governance: Proven experience in embedding data quality and observability (completeness, freshness, accuracy) directly into the CI/CD pipeline. Responsible for technical enforcement of regulatory compliance (GDPR/PII) and maintaining the integrity of data catalogs across active projects.
• Applied Domain Expertise: Practical experience leading the delivery of high-growth solutions, specifically Generative AI infrastructure (RAG, Vector DBs), Real-Time Streaming, and large-scale platform migrations with a focus on zero-downtime execution.
• DataOps & Engineering Standards: Expert-level mastery of DataOps, including the setup and management of orchestration frameworks (Airflow, Dagster) and Infrastructure as Code (IaC). You ensure that automation is a baseline requirement, not an afterthought, for all delivery teams.

3. Unit Management & Commercial Execution

• Unit & Team Management: Proven success in leading and mentoring Engineering Managers and Lead Architects. Responsible for the operational metrics, technical output, and career development of the business unit's talent pool.
• Offerings Implementation & Scoping: Expertise in translating service offerings (e.g., Data Maturity Assessments, Lakehouse Builds) into accurate project scopes, technical estimates, and resource plans to ensure delivery is both profitable and competitive.
• Talent Growth & Mentorship: Functional ability to implement growth frameworks for data engineering roles. Focus on hands-on coaching and scaling high-performance technical talent to meet the demands of complex, petabyte-scale environments.
• Partner Enablement: Functional competence in managing regional technical relationships with major partners (Snowflake, Databricks, GCP/AWS). Drives squad-level certifications, joint technical enablement, and alignment with partner product roadmaps.

Tech Superpowers

• Modern Data Architect – Reimagines business with the Modern Data Stack (MDS) to deliver data mesh implementations, insights, & real value to clients.
• End-to-End Ecosystem Thinker – Builds modular, reusable data products across ingestion, transformation (ETL/ELT), governance, and consumption layers.
• Distributed Compute Savant – Crafts resilient, high-throughput architectures that survive petabyte-scale volume and data skew without breaking the bank.
• Governance & Integrity Guardian – Embeds data quality, complete lineage, and privacy-by-design (GDPR/PII) into every table, view, and pipeline.
• AI-Ready Orchestrator – Engineers pipelines that bridge structured data with Unstructured/Vector stores, powering RAG models and Generative AI workflows.
• Product-Minded Strategist – Balances architectural purity with time-to-insight; treats every dataset as a measurable "Data Product" with clear ROI.
• Pragmatic Stack Curator – Chooses the simplest tools that compound reliability; fluent in SQL, Python, Spark, dbt, and Cloud Warehouses.
• Builder @ Heart – Writes, reviews, and optimizes queries daily; proves architectures with cost-performance benchmarks, not slideware. Business-first, data-second, outcome focused technology leader.

Experience & Relevance

• Executive Experience: Minimum 10+ years of progressive experience in data engineering and analytics, with at least 3 years in a Senior Manager or Director -level role managing multiple technical teams and owning significant operational and efficiency metrics for a large data service line.
• Delivery Standardization: Demonstrated success in defining and implementing globally consistent, repeatable delivery methodologies (DataOps/Agile Data Warehousing) across diverse teams.
• Architectural Depth: Must retain deep, current expertise in Modern Data Stack architectures (Lakehouse, MPP, Mesh) and maintain the ability to personally validate high-level architectural and data pipeline design decisions.
• Operational Leadership: Proven expertise in managing and scaling large professional services organizations, demonstrated ability to optimize utilization, resource allocation, and operational expense.
• Domain Expertise: Strong background in Enterprise Data Platforms, Applied AI/ML, Generative AI integration, or large-scale Cloud Data Migration.
• Communication: Exceptional executive-level presentation and negotiation skills, particularly in communicating complex operational, data quality, and governance metrics to C-level stakeholders.

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.

Required Skill Set :--

• Data Model & Mapping
• MS SQL Database
• Analytics SQL Query
• Genesys Cloud Reporting & Analytics API
• Snow Flake (Good to have)
• Cloud Exposure – AWS or Azure

Technical Experience –

·        5 - 8 Years of experience, preferable at technology or Financial firm

·        Strong understanding of data analysis & reporting tools.

·        Experience with data mining & machine learning techniques.

·        Excellent communication & presentation skills

·        Must have at least 2 – 3 years of experience in Data Model/Analysis /mapping

·        Must have hands on experience in database tools & technologies

·        Must have exposure to Genesys cloud, WFM, GIM, Genesys Analytics API

·        Good to have experience or exposure on salesforce, AWS or AZUre , & Genesys cloud

·        Ability to work independently & as part of a team

·        Strong attention to detail and accuracy.

Work Scope –

• Data Model similar GIM database based on the Genesys Cloud data.
• API to column data mapping.
• Data Model for business for Analytics
• Data base artifacts
• Scripting – Python
• Autosys, TWS job setup.

We’re Hiring: Sr. Engineer / Asst. Manager – Estimation (E&I)

📍 Location: Airoli, Navi Mumbai

🕒 Timings: 8:30 AM – 6 PM | 🗓️ 5 Days Working

🎓 Qualification & Experience

• BE (Electrical / Instrumentation)
• 10–15 yrs in Water Industry 🌊
• Proven experience in handling large projects (>₹20 Cr.)

⚡ Key Skills

• Design & Estimation of MCC, PLC, cabling & instruments
• Process & Proposal dept. experience for E&I estimation
• Expertise in tender specifications & cost optimization
• Strong communication with vendors & clients 🤝

📌 Responsibilities

• Prepare techno-commercial offers for E&I in WTP & recycle plants
• Develop basic engineering package (E&I) incl. P&ID 📑
• Maintain vendor database (Electrical & Automation)
• Attend technical meetings with clients/consultants

About Team Pumpkin : 

Team Pumpkin provides end-to-end technology and marketing solutions to multiple Global brands. Our services range from software development and feature enhancement of current products to marketing and customer outreach activities. With a strong and diverse team, we provide creative solutions to complex business problems that further enable the organizations we work with to ideate and break through traditional business barriers. 

About this Role :

As a UI/UX Designer you will have the opportunity to build & work on complex products/projects across industries and segments. We at Team Pumpkin want you to grow professionally and thus provide you an environment where you take ownership of the project/products you work on.

Responsibilities

• Working on multiple projects, applications and websites
• Working on cross platform designs to provide optimised design for an application/website
• Understanding client requirements to provide designs/flows as per expectations
• Conducting in-depth research on potential competitive landscape to understand industry specific trends/benchmarks
• Developing wireframes to provide/communicate potential screenflows
• Analysing client feedback and incorporating design changes 
• Designing UI elements such as navigation/interaction elements, CTAs, widgets, buttons, search bars etc.
• Assisting the engineering and development team to translate design to code

Requirements:

• Atleast 6-8 years of experience in developing and managing complex design projects
• Have a strong design principles and have a diverse portfolio to showcase
• Proficiency in any of the design suites such as Figma, Indesign, Photoshop , Invision etc. 
• Ability to understand company/brand guidelines and incorporate the same within design
• Extensive experience in collaborating with multiple teams both inter/intra company
• Experience in providing creative insight to improve existing products
• Basic front end knowledge of HTML/CSS is a plus

• You're proficient in Unity3D and/or Unreal game engine  
• You've experience building experiences on iOS, Android and web platforms 
• You have a passion for writing code as well as understanding and crafting the ways systems interact
• You believe in the benefits of agile processes and shipping code often
• You are pragmatic and work to coalesce requirements into reasonable solutions that provide value

• Deploy well-tested, maintainable and scalable software solutions
• Take end-to-end ownership of the technology stack and product 
• Collaborate with other engineers to architect scalable technical solutions
• Embrace and improve our standards and processes to reduce friction and unlock efficiency