Real Estate Consultant

• Identify and develop strategic relationships with potential customers.
• Develop a strong pipeline of new customers through direct or indirect customer contact and prospecting.
• Monitor and analyze pipeline to review performance & optimize accordingly to ensure objectives are met.
• Maintain strong follow-ups and regular feedback calls ● Create lead engagement plans and strategy
• Study the details of each offering & stay abreast of updates to these offerings
• Proactively connect with leads while..ensuring consistent follow-ups, low Turn-AroundTime (TAT), and increased connectivity with multiple attempts Update and create tailored client proposals and negotiate further to close the deals

Research and identify potential leads (students, job seekers, working professionals)

Reach out to users via LinkedIn, job forums, WhatsApp groups, and email

Engage with communities (e.g., college placement cells, Telegram/Discord/Reddit groups)

Manage outreach campaigns using Google Sheets or CRM tools

Work closely with the founder to refine lead strategy and messaging

Desired Candidate profile

● Architect and build scalable front-end web solutions using JavaScript, React, HTML, CSS and other fundamental web technologies. 
● Build reusable code and libraries using iterative development practices for future use

● Ensuring high performance on mobile and desktop. 
● Implement monitoring, metric dashboards, runbooks, logging, escalations, and alerts.

● Drive code and design reviews of components / systems / products in scope and drive the architectural governance for them. 
● Implement best practices and constantly learn new ways of keeping code bases up to date 
 
Roles and Responsibilities:

● A solid grounding in Computer Science fundamentals (based on a Bachelor's or Master's in Computer Science or related field) from reputed institutes 
● 4+ years of development experience in modern web technologies (HTML/CSS, JavaScript), frameworks (React, Backbone.js, AngularJS, , etc) 
● Ability to build a feature from scratch & drive it to completion 
● Prior hands-on experience in building responsive web interfaces at scale for consumers in a product engineering setup 
● Thorough understanding of the responsibilities of the platform, database, API, caching layer, proxies, and other web services used in the system 
● Excellent problem solving, debugging and optimization skills 
● Strong knowledge of browser behavior, performance, compatibility and cross-browser issues 
● Good understanding of REST API 
● Familiar with front-end build tools, such as Webpack, Grunt and Gulp.js
● Proficient understanding of code versioning tools, such as Git 
● Open source contribution is a plus. 

Job Description

We are looking for an experienced engineer with superb technical skills. Primarily be responsible for architecting and building large scale data pipelines that delivers AI and Analytical solutions to our customers. The right candidate will enthusiastically take ownership in developing and managing a continuously improving, robust, scalable software solutions.

Although your primary responsibilities will be around back-end work, we prize individuals who are willing to step in and contribute to other areas including automation, tooling, and management applications. Experience with or desire to learn Machine Learning a plus.

Skills

• Bachelors/Masters/Phd in CS or equivalent industry experience
• Demonstrated expertise of building and shipping cloud native applications
• 5+ years of industry experience in administering (including setting up, managing, monitoring) data processing pipelines (both streaming and batch) using frameworks such as Kafka Streams, Py Spark, and streaming databases like druid or equivalent like Hive
• Strong industry expertise with containerization technologies including kubernetes (EKS/AKS), Kubeflow
• Experience with cloud platform services such as AWS, Azure or GCP especially with EKS, Managed Kafka
• 5+ Industry experience in python
• Experience with popular modern web frameworks such as Spring boot, Play framework, or Django
• Experience with scripting languages. Python experience highly desirable. Experience in API development using Swagger
• Implementing automated testing platforms and unit tests
• Proficient understanding of code versioning tools, such as Git
• Familiarity with continuous integration, Jenkins

Responsibilities

• Architect, Design and Implement Large scale data processing pipelines using Kafka Streams, PySpark, Fluentd and Druid
• Create custom Operators for Kubernetes, Kubeflow
• Develop data ingestion processes and ETLs
• Assist in dev ops operations
• Design and Implement APIs
• Identify performance bottlenecks and bugs, and devise solutions to these problems
• Help maintain code quality, organization, and documentation
• Communicate with stakeholders regarding various aspects of solution.
• Mentor team members on best practices

• Achieving Stretched Targets In A Result-Focused Environment.
• Making Powerful Sales Presentations Resulting In High Conversion Ratio.
• Handling Objections And Resolving Member/ Customer Conflicts By Constantly Connecting With Them Through Member Meetings.
• Maintaining Strong Client Relationship And High Level Of Customer Service.
• Preparing Pre-Sales Proposals For Prospective Clients.
• Identifying Potential Customers And New Business Opportunities Within And Outside The Venue.
• Keeping Abreast With The Organization's Products And Services.
• Maintaining Consistent Average Productivity.
• Provide Necessary Support In Booking First Time Holiday For New Members And Generate Quality Referrals From Them.
• Qualifications -1 To 5 Years' Quota Carrying Sales Experience
• Experience And Working Knowledge Of CRM Systems
• Demonstrable Track Record Of Over-Achieving Quota
• Strong Written And Verbal Communication Skills

• Building and operationalizing large scale enterprise data solutions and applications using one or more of AZURE data and analytics services in combination with custom solutions - Azure Synapse/Azure SQL DWH, Azure Data Lake, Azure Blob Storage, Spark, HDInsights, Databricks, CosmosDB, EventHub/IOTHub.
• Experience in migrating on-premise data warehouses to data platforms on AZURE cloud. 
• Designing and implementing data engineering, ingestion, and transformation functions

• Experience with Azure Analysis Services
• Experience in Power BI
• Experience with third-party solutions like Attunity/Stream sets, Informatica
• Experience with PreSales activities (Responding to RFPs, Executing Quick POCs)
• Capacity Planning and Performance Tuning on Azure Stack and Spark.

Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements.

• Interpret data, analyze results using statistical techniques and provide ongoing reports
• Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
• Acquire data from primary or secondary data sources and maintain databases/data systems
• Identify, analyze, and interpret trends or patterns in complex data sets
• Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
• Work with management to prioritize business and information needs
• Locate and define new process improvement opportunities
  
  

  Requirements

  • Proven working experience as a Data Analyst or Business Data Analyst
  • https://resources.workable.com/data-scientist-analysis-interview-questions">Technical expertise regarding data models, database design development, data mining and segmentation techniques
  • Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
  • Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
  • Strong https://resources.workable.com/analytical-skills-interview-questions">analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Adept at queries, report writing and presenting findings
  • BS in Mathematics, Economics, Computer Science, Information Management or Statistics