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• Design, development, and testing of new features in the applications
• Responsible for regular communication with others involved in the development process
• Implement, Unit test, bug-fix and refactor functionality
• Responsibility for design and implementation of software projects using C#
• Participate as a team member in fully agile Scrum deliveries
• Provide support to end users
• Design, build, and maintain efficient and reliable C# code
• Must have worked on Multithreading.
• Must have worked on WPF

JOB DESCRIPTION|  Asst./Senior SALES Manager – SETTLIN

About Company: Settlin was founded in 2016 by IIT and IMT alumni. It is a deep-tech property platform that enables and executes end-to-end property transactions and related services. Settlin follows a highly systematic, technology-driven approach to real estate consultancy, catering to every detail of the property-buying process.

Settlin entered the real estate industry with a vision to disrupt the resale real estate market by automating the entire experience of buying a resale property and providing all necessary information on a single platform. After achieving tremendous success in the resale segment, Settlin has recently ventured into the primary real estate vertical to assist customers looking to buy new properties by recommending the right options from a wide range of projects across Bangalore.

Settlin is a VC-funded company with a strong base in Bangalore.

To know more, visit: https://settlin.in

Basic Requirements:-

• Any Graduate/Post-Graduate with experience in sales or strong inclination toward sales.
• Experience of 0-5 years in sales/pre-sales
• Good analytical, excellent negotiation & communication skills (English)
• Quick learning ability, adaptability to changing business needs
• Valid driver's license and reliable transportation
• Real estate, Hotel Management, Banking, Insurance sales experience is an added advantage.

Key Responsibilities:

1. Client Interaction & Consultation

• Connect with inbound customers via calls, meetings, and site visits.
• Understand customer requirements such as budget, location preference, family needs, investment goals, and timelines.
• Act as a real estate consultant, not just a salesperson.

1. Project Presentation & Site Visits

• Present residential projects confidently with complete product knowledge.
• Conduct and coordinate site visits, explaining layouts, pricing, amenities, future appreciation, and USPs.
• Ensure a professional and premium experience for every customer interaction.

1. Customer Relationship Management

• Build long-term relationships with clients through trust, transparency, and follow-ups.
• Maintain accurate customer data and follow-ups in CRM.
• Work closely with internal teams for negotiations, documentation, and closures.

1. Negotiation & Closure Support

• Support customers during price negotiations and final decision-making.
• Coordinate with relationship managers, finance teams, and developers for smooth closure.
• Assist customers through booking, agreement, and post-sales coordination.

1. Market & Product Knowledge

• Stay updated on real estate market trends, pricing, competitor projects, and locations.
• Develop in-depth knowledge of assigned projects and micro-markets.

1. Professional Conduct

• Maintain high standards of communication, grooming, confidence, and body language.
• Represent the company brand professionally during office meetings and site visits.

Remuneration: 

CTC: 4.2LPA to 7.2LPA plus incentives 

Additional to above CTC, INR 30K - 100K+ monthly incentives, is created on completion of 8+ deals in a quarter. 

Part of it is paid in the same month, remaining is paid quarterly. Revenue based incentive structure minimum 6% and up to 10% of the revenue depending upon performance. 

Target Expectations:

• 25 unique client visits at handpicked 2-4 projects and 2 deals  every month is the basic productivity expected. 
• Minimum 80+ unique in-bound requests from buyers will be assigned monthly. It goes upto 200+ for performing and capable candidates.
• An average team member does 8+ deals in a quarter. Star performers have also achieved 15+ regularly.

Growth & Opportunities ahead:

All performing members in the above team, by default earn the opportunity to move ahead to the Team Lead role. The eligibility for moving to the Team Lead role is consistent performance for 8-12 months at the current position.

There is no time limit on the appraisal cycle and performers easily make it to the next level and beyond, within as less as 8-12 months, depending upon the vacancies available.

Other Good to know details before applying:

1. Weekends (i.e. Saturdays & Sundays) are working days. They are usually the most engaged days
2. First 2 months mandatory probation period with 1 paid leave allowed (apart from week-offs)
3. 6 days/week office. 1 day fixed week-off selected between Tuesday & Wednesday
4. General Office hours: 10.00 AM to 6.00 PM (Minimum 8 hours each work-day)
5. Total 30 days leave in a year

Key Responsibilities

• Design and develop backend services using Django and Python.

• Architect and implement microservices-based solutions for scalability and maintainability.

• Work with PostgreSQL and Redis for efficient data storage and caching.

• Build and maintain RESTful APIs and ensure robust API design principles.

• Implement system design best practices for high availability and fault tolerance.

• Containerize applications using Docker and manage deployments with Kubernetes.

• Integrate with cloud platforms (AWS/Azure) for hosting and infrastructure management.

• Apply security best practices to protect data and application integrity.

• Collaborate with frontend, QA, and DevOps teams for seamless delivery.

• Mentor junior developers and conduct code reviews to maintain quality standards. 

Required Skills & Expertise

• Django/Python – Advanced proficiency in backend development.

Microservices Architecture – Strong understanding of distributed systems.

• PostgreSQL & Redis – Expertise in relational and in-memory databases.

• Docker/Kubernetes – Hands-on experience with containerization and orchestration.

• API Design & System Design – Ability to design scalable and secure systems.

• Cloud (AWS/Azure) – Practical experience with cloud services and deployments.

• Security Best Practices – Knowledge of authentication, authorization, and data protection.

• Experience using Selenium with Java

Job Overview:

We are seeking an experienced AWS Data Engineer to join our growing data team. The ideal candidate will have hands-on experience with AWS Glue, Redshift, PySpark, and other AWS services to build robust, scalable data pipelines. This role is perfect for someone passionate about data engineering, automation, and cloud-native development.

Key Responsibilities:

• Design, build, and maintain scalable and efficient ETL pipelines using AWS Glue, PySpark, and related tools.
• Integrate data from diverse sources and ensure its quality, consistency, and reliability.
• Work with large datasets in structured and semi-structured formats across cloud-based data lakes and warehouses.
• Optimize and maintain data infrastructure, including Amazon Redshift, for high performance.
• Collaborate with data analysts, data scientists, and product teams to understand data requirements and deliver solutions.
• Automate data validation, transformation, and loading processes to support real-time and batch data processing.
• Monitor and troubleshoot data pipeline issues and ensure smooth operations in production environments.

Required Skills:

• 5 to 7 years of hands-on experience in data engineering roles.
• Strong proficiency in Python and PySpark for data transformation and scripting.
• Deep understanding and practical experience with AWS Glue, AWS Redshift, S3, and other AWS data services.
• Solid understanding of SQL and database optimization techniques.
• Experience working with large-scale data pipelines and high-volume data environments.
• Good knowledge of data modeling, warehousing, and performance tuning.

Preferred/Good to Have:

• Experience with workflow orchestration tools like Airflow or Step Functions.
• Familiarity with CI/CD for data pipelines.
• Knowledge of data governance and security best practices on AWS.

Experience of atleast 9 + years in developing Java Solutions and Architecture

Mandatory Experience of working on AWS, Microservices architecture, Dockers, Kubernetes

Experience in creating architecture for Cloud Applications in AWS

Should have worked on large scale Saas application for atleast 3 years

Knowledge and experience in any of the following

Javascript, AngularJS, Python, Ruby, PHP

Driving DevOps best practices by using Docker, Kubernetes.

Excellent interpersonal, verbal and written communication skills

Location Chennai, Bengaluru, Hyderabad,

• Lead the People & Culture practices across the organization
• Actively identify gaps, and deploy impactful people strategies that enable the organization to mitigate risk, perform effectively, and scale efficiently as it grows.
• Implementation of relevant HR Tech tools to do HR process automation.
• Manage the hire to retire employee life cycle & employee experience across the organization.
• Play a key role in working with managers on change management and talent management initiatives.
• Manage people initiatives like OKRs, One on One Feedback, Employee surveys, Employee development, L&D, Employee Wellbeing etc
• Drive people & culture practices with data driven insights. 

• MBA in HR from premier colleges like IIMK, XLRI, TISS & similar. 
• Experience: Range of 5+ years and one of the experiences should be with a startup or technology company. 
• Should have experience of managing teams at a global level. 
• Extensive knowledge of HR automation tools and software.
• Strong experience in planning, creating, and implementing HR strategies.
• Solid understanding of people analytics.

A wholesome opportunity in a fast-paced environment will enable you to juggle between concepts yet maintain the quality of content, interact, share your ideas, and have loads of learning while at work. Work with a team of highly talented young professionals and enjoy the benefits of being at Xoxoday‍

A fast-growing SaaS commerce company based in Bangalore with offices in Delhi, San Francisco, and Dublin with over 300 employees. We have three products in our portfolio: Plum, Empuls, and Compass. Xoxoday works with over 2000 global clients. We help our clients engage and motivate their employees, sales teams, channel partners, or consumers for better business results.

• Create and maintain optimal data pipeline architecture,
• Assemble large, complex 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.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
• 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 experts to strive for greater functionality in our data systems.

• 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 identify 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.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• We are looking for a candidate with 5+ 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.