SharePoint Lead

Job Title: Product and Research Head – Real Estate

Location: Chennai (Thiruvanmiyur)

Job Summary:

The Product and Research Head in Real Estate will lead the development and execution of innovative real estate products and oversee comprehensive market research and analysis. This role demands a strategic leader with deep industry knowledge who can drive product strategy, identify market opportunities, and provide actionable insights to support business growth. The ideal candidate will bridge product development with data-driven research to deliver competitive and customer-centric real estate solutions.

Key Responsibilities:

Product & Research Head

Position: Head – Product & Research

Experience: 20+ years

Key Responsibilities:

• Lead product conceptualization, positioning, and market strategy for residential, commercial, and retail projects.
• Conduct extensive market, consumer, and competitor research.
• Define product mix, unit sizes, pricing, and specifications in line with market demand and business targets.
• Collaborate with sales, marketing, design, and engineering teams to align product features with customer expectations.
• Track industry trends, customer preferences, and regulatory updates.
• Prepare detailed feasibility studies and business plans for new projects.

Preferred Profile:

• 20-25 years in real estate product management and market research.
• Strong market knowledge, analytical skills, and strategic business acumen.

The candidate should have extensive experience in designing and developing scalable data pipelines and real-time data processing solutions. As a key member of the team, the Senior Data Engineer will play a critical role in building end-to-end data workflows, supporting machine learning model deployment, and driving MLOps practices in a fast-paced, agile environment. Strong expertise in Apache Kafka, Apache Flink, AWS SageMaker, and Terraform is essential. Additional experience with infrastructure automation and CI/CD for ML models is a significant advantage.

Key Responsibilities

1. Design, develop, and maintain high-performance ETL and real-time data pipelines using Apache Kafka and Apache Flink.
2. Build scalable and automated MLOps pipelines for training, validation, and deployment of models using AWS SageMaker and associated services.
3. Implement and manage Infrastructure as Code (IaC) using Terraform to provision and manage AWS environments.
4. Collaborate with data scientists, ML engineers, and DevOps teams to streamline model deployment workflows and ensure reliable production delivery.
5. Optimize data storage and retrieval strategies for large-scale structured and unstructured datasets.
6. Develop data transformation logic and integrate data from various internal and external sources into data lakes and warehouses.
7. Monitor, troubleshoot, and enhance performance of data systems in a cloud-native, fast-evolving production setup.
8. Ensure adherence to data governance, privacy, and security standards across all data handling activities.
9. Document data engineering solutions and workflows to facilitate cross-functional understanding and ongoing maintenance.

Responsibilities:

• Lead simultaneous development for multiple business verticals.
• Design & develop highly scalable, reliable, secure, and fault-tolerant systems.
• Ensure that exceptional standards are maintained in all aspects of engineering.
• Collaborate with other engineering teams to learn and share best practices.
• Take ownership of technical performance metrics and strive actively to improve them.
• Mentors junior members of the team and contributes to code reviews.

Requirements:

• A passion to solve tough engineering/data challenges.
• Be well versed with cloud computing platforms AWS/GCP
• Experience with SQL technologies (MySQL, PostgreSQL)
• Experience working with NoSQL technologies (MongoDB, ElasticSearch)
• Excellent Programming skills in Python/Java/GoLang
• Big Data streaming services (Kinesis, Kafka, RabbitMQ)
• Distributed cache systems(Redis, Memcache)
• Advanced data solutions(BigQuery, RedShift, DynamoDB, Cassandra)
• Automated testing frameworks and CI/CD pipelines Infrastructure orchestration(Docker/Kubernetes/Nginx)
• Cloud-native tech like Lambda, ASG, CDN, ELB, SNS/SQS, S3 Route53 SES

At Monarch, we’re leading the digital transformation of farming. Monarch Tractor augments both muscle and mind with fully loaded hardware, software, and service machinery that will spur future generations of farming technologies.

With our farmer-first mentality, we are building a smart tractor that will enhance (not replace) the existing farm ecosystem, alleviate labor availability, and cost issues, and provide an avenue for competitive organic and beyond farming by providing mechanical solutions to replace harmful chemical solutions. Despite all the cutting-edge technology we will incorporate, our tractor will still plow, till, and haul better than any other tractor in its class. We have all the necessary ingredients to develop, build and scale the Monarch Tractor and digitally transform farming around the world. For more details visit

www.monarchtractor.com

Monarch Tractor Electric Tractor

Monarch Tractor is the maker of the world’s first fully electric, driver-optional tractor making sustainable farming economically superior.

www.monarchtractor.com

Requirements and skills:

· 3+ Years of software development experience

· Strong in data structures and algorithms

· Solid understanding of Linux development environment and systems

· Expert level knowledge of Python along with frameworks some application framework

· Prior experience with WebRTC and video streaming protocols like RTMP, RTP and payloads

· Prior experience of h264, h265, vp8, vp9 and av1 encoders and decoders

· Prior experience with GStreamer pipelines

· Knowledge of C++ and proxy servers such as NGNIX is an added advantage

· Proficient in writing unit test cases using the Pytest framework.

· Expert level knowledge of SQL databases like MySQL

· Understanding of microservices architecture

· Knowledge of AWS cloud services like EC2, S3, Lambda etc.

Sourcing new sales opportunities through inbound lead follow-up and outbound cold calls and emails

Understanding customer needs and requirements

Routing qualified opportunities to the appropriate sales executives for further development and closure.

Responsibilities:

Source new sales opportunities through inbound lead follow-up and outbound cold calls and emails

Understand customer needs and requirements

Route qualified opportunities to the appropriate sales executives for further development and closure

Close sales and achieve quarterly quotas

Research accounts, identify key players and generate interest

Maintain and expand your database of prospects within your assigned territory

Team with channel partners to build pipeline and close deals

Perform effective online demos to prospects

ELIGBLITY:

• Any Graduation with relevant experience.
• Should have excellent written and oral communication.
• Should be proficient in following languages (English, Hindi & Kannada)
• Proficient in MS Office package.
• Should be an excellent team player & should able to maintain good coordination with clients & other team members.
• Prior Experience in Electrical & Electronic Manufacturing company will an added advantage.

ROLES & RESPONSIBILITIES :

• Preparing the offers & work Orders.
• Handling the Pre sales communication.
• Coordinating with technical team, design team, project team, SCM & Clients for the smooth project execution.
• Should maintain the proper documentation as per the standard.

• Lead the engineering effort across projects 
• Interface with key stakeholders and apply your technical proficiency across different stages including Application Architecture, Design and Development
• Understand client's business requirements and be able to map them to technology solutions and make them work
• Design and build modern solutions informed by a deep understanding of cloud architecture and how distributed systems operate at scale
• Provide regular support and guidance to teams on complex coding, issue resolution and execution 
• Establish and enforce best development and engineering practices including QA and DevOps
• Lead and manage your own team, but also get down to coding, testing, and designing solutions as and when needed
• Communicate effectively with teams, clients and business leaders within the company

• Minimum 6+ years of experience designing and building full stack applications using UI frameworks like Angular, React or Vue.JS and backend frameworks like Node.JS/ExpressJS or Python/Django/Flask or Laravel/Yii2/Symphony
• Minimum 2-3 years of experience as a Technical Lead mentoring team of 3 to 5 developers
• Strong knowlegde of cloud and distributed systems (AWS, GCP, Azure). Cloud certifications would be an added advantage.
• Deep knowledge of relational databases, SQL and NoSQL databases. Experience with Graph databases like Neo4j is desirable.
• Proficient in Git and CI-CD frameworks
• Strong communicator with visual, verbal, and writing skills to clearly articulate complex design problems and solutions
• Ability to work in an agile environment