
-Developing Leads and converting them to customers,
- Conducting demos, field visits, sales pitches etc
,- Improving sales strategy
- Promote the company s services addressing or predicting clients objectives.
- Manage proposal response process, including detailed RFP requirements, content creation, and inputs from various sources
- Conduct research to identify new markets and customer needs.
- Presentation of the company to potential customers.
- Building long-term, trusting relationships with customers
.- Proactive search for new business opportunities in the market.
- Arrange business meetings with prospective clients.
- Qualify leads from marketing campaigns as sales opportunities
.- Take a lead role in the development of proposals and presentations for new business materials to create and nurture business opportunities and partnerships
- Identify trends and customer needs, building a short/medium/long-term sales pipeline in accordance with targets
- Candidate should be willing to work in start up culture, should be self starter

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Key Responsibilities:
- Develop and implement effective recruitment strategies to meet staffing needs.
- Source candidates through job boards, social media, and networking.
- Conduct interviews and assess candidates' qualifications.
- Coordinate with hiring managers to understand position requirements.
- Maintain a positive candidate experience throughout the hiring process.
- Assist in the development of employer branding initiatives.
Qualifications:
- Proven experience in talent acquisition or recruitment.
- Strong communication and interpersonal skills.
- Ability to manage multiple recruitment projects simultaneously.
- Familiarity with applicant tracking systems (ATS) and recruiting tools.
ob Description:
We are seeking an experienced Azure Data Engineer with expertise in Azure Data Factory, Azure Databricks, and Azure Data Fabric to lead the migration of our existing data pipeline and processing infrastructure. The ideal candidate will have a strong background in Azure cloud data services, big data analytics, and data engineering, with specific experience in Azure Data Fabric. We are looking for someone who has at least 6 months of hands-on experience with Azure Data Fabric or has successfully completed at least one migration to Azure Data Fabric.
Key Responsibilities:
- Assess the current data architecture using Azure Data Factory and Databricks and develop a detailed migration plan to Azure Data Fabric.
- Design and implement end-to-end data pipelines within Azure Data Fabric, including data ingestion, transformation, storage, and analytics.
- Optimize data workflows to leverage Azure Data Fabric's unified platform for data integration, big data processing, and real-time analytics.
- Ensure seamless integration of data from SharePoint and other sources into Azure Data Fabric, maintaining data quality and integrity.
- Collaborate with business analysts and business stakeholders to align data strategies and optimize the data environment for machine learning and AI workloads.
- Implement security best practices, including data governance, access control, and monitoring within Azure Data Fabric.
- Conduct performance tuning and optimization for data storage and processing within Azure Data Fabric to ensure high availability and cost efficiency.
Key Requirements:
- Proven experience (5+ years) in Azure data engineering with a strong focus on Azure Data Factory and Azure Databricks.
- At least 6 months of hands-on experience with Azure Data Fabric or completion of one migration to Azure Data Fabric.
- Hands-on experience in designing, building, and managing data pipelines, data lakes, and data warehouses on Azure.
- Expertise in Spark, SQL, and data transformation techniques within Azure environments.
- Strong understanding of data governance, security, and compliance in cloud environments.
- Experience with migrating data architectures and optimizing workflows on cloud platforms.
- Ability to work collaboratively with cross-functional teams and communicate technical concepts effectively to non-technical stakeholders.
- Azure certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert) are a plus.
Key requirements:
- The person should have at least 6 months of work experience in Data Fabric. Make sure the experience is not less than 6 months
- Solid technical skills: data bricks, data fabric and data factory
- Polished, good communication and interpersonal skills
- The Person should have at least 6 years of experience in Databricks, Datafactory.


Relevant Experience:
• 3-5 years
Required Skills
• In-depth experience with Python and OO concepts
• Experience with using NumPy, Pandas, or similar AI/ML libraries
• Deep understanding of multi-process architecture and threading limitations of Python
• Expert knowledge of Python and related frameworks including Django and Flask.
• Experience in Machine Learning and Artificial Intelligence
• Good understanding of relational data modeling concepts and comfortable with SQL
• databases.
• Good understanding of AWS / Azure cloud
• Nice to have
• Experience / Exposure in Chat BOT or Voice BOT
• Experience in Lambda Function OR Azure Functions
• Exposure to Financial Domain
Additional Skillsets Desired:
• Ability to work with clients and key stakeholders to ensure requirements are met
• Strong problem-solving and debugging skills
• Passion to work in a start-up environment and readiness to dabble with challenging
• Ability to work in both a solo and team environment
• Proven ability to communicate technical information coherently, both verbally and into internal team and external customers, maintaining a customer focused
About IQnext:
We're revolutionizing the way buildings are managed, shifting them away from traditional facilities management to a smarter, data-driven approach. IQnext is an integrated, centralized platform that is disrupting buildings and real estate infrastructure with its new-age cloud-based solution, delivering long-term sustainability and operational efficiency that is scalable across portfolios.
Job Summary :
To achieve our ambitious goal, we are looking for a Business Development (BD) Manager who is proactive in nature and works in a pre-sales and sales role, and generates leads on his/her own using different methods (B2B portals, emails, cold calls) from the enterprise/channel customer segment.
Opportunity:
In this role, you will be responsible for driving new sales and the growth of IQnext in the channel/reseller segment. The person in this role will pioneer some of IQnext’s biggest deals by landing new logos and formalizing enterprise-wide relationships with companies via resellers/channel partners. You will gain knowledge and experience in the new age industry of SaaS and cloud.
In this role, you will report to the Head of Sales and Partnership & closely work with Cofounders.
Responsibilities:
- Identify potential customer targets from channel/reseller segments.
- Apply consultative sales skills to build relationships with channel/resellers to generate new business from their network -Close deals, acquire new customers, generate revenue
We’re looking for someone who:
- Is passionate about sales + technology.
- Has proven experience of 3-5 years in B2B / Corporate / Channel sales and selling tech-based products/solutions to business and technology stakeholders interacting with key decision makers.
- Has worked in the Commercial Real Estate segment and Selling experience in Facility Management Solutions, Building Management systems.
- Has experience in Pre-Sales & Sales.
- Team player, with excellent oral & written communication, and presentation skills and must be able to articulate technology & product positioning to both business & technical users.
- Has knowledge of the corporate/enterprise procurement process, decision-making criteria, processes they use, etc
- Is extremely motivated to succeed and is a problem solver.
- Knowledge of complex decision-making groups (or ability to grasp this quickly)
- Proven track record of planning sales pipelines.
- Well organized, analytical, detail-oriented, and quality-minded, able to eliminate sales obstacles through creative and adaptive approaches.
Benefits:
Incentive on sales
Medical Insurance (including dependants)
Employee Stock Options (ESOP)

Should have knowledge of Magento 2.0
Expert understanding of Magento's code structure, extension architecture, theming hierarchy, and fallback components.
Expertise in authoring and extending Magento extensions.
Thorough experience in customizing Magento's front-end components using layout XML, blocks, and templates.
Competent in authoring JavaScript and using libraries such as jQuery.
Competent in web services integrations (REST/SOAP).
Comfort working with Linux-based systems.
An expertise in PHP, MySQL, HTML5 and CSS3.
The ability to convert PSD's to Magento and PHP sites.
The ability to handle multiple projects and tasks at the same time.


Relevant experience: 2-3 years
Responsibilities:
- Should be good at, C, C++, Linux driver development
- Should have worked in protocol like i2S, SPI, i2C. rf, 6lowpan, Tcp / Ip stack etc..
- Experience in porting MbedOS , FreeRTOS to different boards is good.
- Analyzing and enhancing efficiency, stability and scalability of system resources
- Design, develop, code, test and debug system software
- Provide post production support
- Interface with hardware design and development
Requirements:
- Proven working experience in software engineering
- Experience in hands-on development and troubleshooting on embedded targets
- Solid programming experience in C or C++
- Adequate knowledge of reading schematics and data sheets for components
- Strong documentation and writing skills
Note: Self-motivated, goal oriented and good analytical skills.
• Strong technical experience with Java 8 and above
• Sound understanding of Database concepts & experienced with MySQL.
• Strong technical experience with JavaScript/Ajax/jQuery
• Good knowledge of Angular 2+ version.
• Good knowledge of REST APIs and Spring Boot.
• Awareness with any of version control systems like Git/SVN/TFS/VSS etc
• Awareness and exposure of AWS architecture components such as S3, SQS, Lambda, EKS etc
Good to Have:
• Knowledge of Docker and Containerization.
• Working in Agile env will be plus.
• Understanding of Code Optimization techniques, Code coverage tool and code analysis tool.
• Working knowledge of CI/CD process.
• Experience of onshore/offshore team collaborations.
• Makes a valuable contribution to team objectives, displays trust and mutual understanding, accepts constructive feedback, and handles confrontation constructively



