Senior Business Analyst (Product Analytic Top b2c company s), M

-Design and maintain efficient database solutions using RDBMS.

-Write complex SQL queries for data extraction and manipulation.

-Implement and optimize AWS services for scalable application deployment.

-Develop server-side logic using PHP and integrate front-end elements with JavaScript.

-Collaborate with teams to design, develop, and deploy web applications.

Job Title: Real Estate Funding Head

Location: Chennai

Department: Finance / Funding

Reports to: CFO

Job Summary:

The Real Estate Funding Head will lead the sourcing, structuring, and management of funding for real estate projects. This role requires a strategic finance leader with deep knowledge of real estate finance, capital markets, and investor relations. The Funding Head will develop and maintain strong relationships with lenders, investors, and financial institutions to secure optimal financing solutions that support the company’s real estate development and investment objectives.

Key Responsibilities:

Funding Strategy & Management:

• Develop and implement comprehensive funding strategies for real estate projects aligned with business goals.
• Identify and evaluate multiple funding sources including banks, financial institutions, private equity, venture capital, and alternative financing.
• Negotiate terms and structures for debt and equity financing agreements.
• Manage relationships with banks, investors, and funding partners to ensure continuous capital flow.
• Monitor and optimize capital costs and financing structures to maximize ROI.
• Oversee due diligence and risk assessment related to financing transactions.

Financial Analysis & Reporting:

• Lead financial modeling, feasibility studies, and funding proposals for new projects.
• Collaborate with project and finance teams to track funding utilization and compliance.
• Prepare and present funding plans, financial reports, and investor updates to senior management.
• Ensure adherence to regulatory and internal compliance standards related to funding.

Team Leadership & Collaboration:

• Build and lead a high-performing funding team.
• Work closely with cross-functional teams (legal, finance, project management, and sales) to align funding with operational needs.
• Mentor team members and promote best practices in real estate finance.

Qualifications & Skills:

• Bachelor’s degree in finance, Business Administration, Real Estate, or related field. MBA or relevant professional certification (CFA, CPA) preferred.
• Proven experience (X+ years) in real estate finance, capital raising, or investment banking.
• Deep understanding of real estate funding mechanisms, capital markets, and financial instruments.
• Strong negotiation, analytical, and financial modeling skills.
• Excellent communication and stakeholder management abilities.
• Ability to work under pressure and manage multiple high-value projects simultaneously.

·        Candidates from IPC/Real estate, CBRE, JLL, Cushman & Wakefield, knight franks, Savills (OR)Banks (Funding real estate),NBFC (OR) Real estate Companies

• - Strong architecture and design skills and keen business sense.
• - Strong core server-side technologies experience (Java), database design & performance tuning exposure.
• - Strong OO design skills, knowledge of frameworks such as Spring/ Spring Boot/ exposure to functional programming a plus.
• - Good knowledge of nodeJS/ noSQL a definite plus.
• - Good exposure to front end/UI skills (JS, HTML, Angular).
• - Good exposure to configuration management, testing, deployment.
• - Deep knowhow of data structures, algorithms.
• - Hands on development across technologies

Passionate about automobiles

Proficient knowledge of the auto industry

and updated information about the latest news and production trends in the automobile sector.

Capable of doing good video shoots.

Machine Learning & Deep Learning – Strong

Experienced in TensorFlow, PyTorch, ONNX, Object Detection,  Pretrained Models like YOLO, SSD, Faster RCNN, etc…

Python – Strong

NumPy, Pandas, OpenCV

Problem Solving  - strong

C++ - average

        It will be good if candidate have working experience in C++ in any domain

Note :: Looking for Immediate to 30 days of Notice Period

• Developing telemetry software to connect Junos devices to the cloud
• Fast prototyping and laying the SW foundation for product solutions
• Moving prototype solutions to a production cloud multitenant SaaS solution
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
• Build analytics tools that utilize the data pipeline to provide significant insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with partners including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics specialists to strive for greater functionality in our data systems.

Qualification and Desired Experiences

• Master in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
• 5+ years experiences building data pipelines for data science-driven solutions
• Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning model
• Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
• Good team worker with excellent interpersonal skills written, verbal and presentation
• Create and maintain optimal data pipeline architecture,
• Assemble large, sophisticated data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Experience with AWS, S3, Flink, Spark, Kafka, Elastic Search
• Previous work in a start-up environment
• 3+ years experiences building data pipelines for data science-driven solutions
• Master in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
• We are looking for a candidate with 9+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
• Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning model
• Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and find opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Proven understanding of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and interpersonal skills.
• Experience supporting and working with multi-functional teams in a multidimensional environment.

Develop and maintain dynamic web applications

Involvement in all aspects of the development cycle using PHP ,laravel ,codginator and OOPS concept

Participate in Code Review and walkthroughs

Work on complex and challenging projects

Ensure foolproof performance of the deliverable

Coordinate with co-developers and send regular updates

Knowledge of web applications security norms

Comfortable working with debugging tools

Plan, design, develop, debug, implement and support web-based applications and Services (Websites and Intranet Portal)

Skills Required:

Proven experience on PHP, Laravel, MySQL, Javascript, HTML,Jquery and Ajax

Knowledge of JavaScript frameworks like React, Angular2 and NodeJS

Proficiency in SQL scripting and MySQL 5.x

Experience in API integration, Localstorage, geolocation etc.

Knowledge of Cloud Environment like AWS/EC2, VPC etc.

Experience with version control GIT, BitBucket, SVN, etc.

Must have worked on Agile Methodology

Strong knowledge of OOPS, design patterns and Data structure

Should have strong knowledge of front end and back end optimization techniques