Sales Development Representative – Cloud

What you’ll do: 

● Own and build next-generation web applications which are efficient, reusable front-end abstractions 

and systems. 

● Explore and design lively and compelling consumer experiences. 

● Ensure that all the assigned systems are performing to scale. 

● Actively participate in design and code reviews to build robust applications and prototypes 

● You will mentor junior engineers on design and proper coding practices 

What you will need: 

● A deep expertise in React, Javascript, HTML5 and CSS3. 

● Understanding of browser internals and a basic understanding of the network stack. 

● Understanding of common design patterns followed in front-end projects. 

● Basic awareness of application security practices and deployment techniques for front-end projects. 

● Should have sound knowledge in computer science fundamentals like data structure, object-oriented 

programming and possess excellent communication skills. 

React Native Developer

We are looking for a talented and experienced React Native Developer to join our team. The ideal candidate will have a strong background in developing mobile applications with React Native.

Roles and Responsibilities:

• Develop and maintain high-quality mobile applications using React Native
• Collaborate with designers and other developers to create user-friendly and visually appealing interfaces.
• Write clean and maintainable code using TypeScript.
• Utilize Flexbox layout to create a responsive User Interface that works on different screen sizes.
• Use Realm to manage local data storage and synchronize data with remote servers.
• Integrate GraphQL to efficiently fetch and manage data in our applications.
• Participate in code reviews and contribute to our development processes
• Stay up-to-date with the latest trends and technologies in mobile development

Skills Required:

• 4 to 7 years of strong experience with React Native.
• Experience in TypeScript programming language.
• Experience in GraphQL will be an advantage.
• Familiarity with Realm or other local data storage solutions
• Knowledge of chatbot development using natural language processing and machine learning techniques
• Understanding of data analytics and experience with tools like Google Analytics, Firebase Analytics, or similar
• Prior experience in Start-ups would be an added advantage .
• Strong problem-solving and analytical skills with a focus on algorithms
• Experience working on POS and Kiosk projects, integrating payment gateways.
• Excellent collaboration and communication skills
• Bachelor's Degree in Computer Science.

Internshala is a dot com business with the heart of dot org.

We are a technology company on a mission to equip students with relevant skills & practical exposure through internships, fresher jobs, and online trainings. Imagine a world full of freedom and possibilities. A world where you can discover your passion and turn it into your career. A world where your practical skills matter more than your university degree. A world where you do not have to wait till 21 to taste your first work experience (and get a rude shock that it is nothing like you had imagined it to be). A world where you graduate fully assured, fully confident, and fully prepared to stake a claim on your place in the world.

At Internshala, we are making this dream a reality!

👩🏻‍💻 Your responsibilities would include-

• Designing, implementing, testing, deploying, and maintaining stable, secure, and scalable data engineering solutions and pipelines in support of data and analytics projects, including integrating new sources of data into our central data warehouse, and moving data out to applications and affiliates
• Developing analytical tools and programs that can help in Analyzing and organizing raw data
• Evaluating business needs and objectives
• Conducting complex data analysis and report on results
• Collaborating with data scientists and architects on several projects
• Maintaining reliability of the system and being on-call for mission-critical systems
• Performing infrastructure cost analysis and optimization
• Generating architecture recommendations and the ability to implement them
• Designing, building, and maintaining data architecture and warehousing using AWS services.
• ETL optimization, designing, coding, and tuning big data processes using Apache Spark, R, Python, C#, and/or similar technologies.
• Disaster recovery planning and implementation when it comes to ETL and data-related services
• Define actionable KPIs and configure monitoring/alerting

🍒 You will get-

• A chance to build and lead an awesome team working on one of the best recruitment and online trainings products in the world that impact millions of lives for the better
• Awesome colleagues & a great work environment
• Loads of autonomy and freedom in your work

💯 You fit the bill if-

• You have the zeal to build something from scratch
• You have experience in Data engineering and infrastructure work for analytical and machine learning processes.
• You have experience in a Linux environment and familiarity with writing shell scripts using Python or any other scripting language
• You have 3-5 years of experience as a Data Engineer or similar software engineering role

Intech offer a range of products aimed at delivering transformative state-of-the-art technology solutions, including Microsoft Dynamics AX, Microsoft Dynamics NAV, Microsoft Dynamics CRM, and Microsoft Azure. In addition, Intech also offers a range of complementary business solutions such as Microsoft SharePoint, Business Intelligence, Human Resources Solutions, and Mobility Solutions, which are integrated with the Dynamics suite to help enhance productivity for organizations.

As our team continues to expand each day, we are always looking to hire determined individuals keen to learn and grow within the organization. If you are interested to learn more about the organization, please visit our website (http://www.intech-systems.com/" target="_blank">www.intech-systems.com). 

Manager –Development is a dynamic professional who is well versed with process of Business to Business (B2B) and Business to Customer (B2C) sales. This individual needs to be excellent in strategic planning, and device strategies to achieve the desired goals. This person needs to be self-driven, goal oriented and passionate to achieve the Key Result Areas.

Job Responsibilities:

Required Qualifications/Skills:

Role and Responsibilities

A Quantitative Strategist/Quantitative Trader profile at QuantX requires rigorous quantitative aptitude and go-get attitude.

• Deployment of quantitative models in Indian Equity and Derivatives markets to generate returns.
• Management of Quantitative Trading Programs.
• Data Analysis

Requirements

Education (Candidate should satisfy one of the following)

• B.Sc./M.Sc. Mathematics or B.Sc./M.Sc. Statistics from a reputed college with good grades
• Tech with good grades and strong quantitative aptitude
• CFA/FRM Level 1 cleared
• Any other degree with Financial Derivatives as a subject and through knowledge of Derivative Greeks (Portfolio Level, Risk Management, Hedging)  

Skills

• Exceptional Quantitative Aptitude
• Psychological composure and Logical/Objective decision making
• Comfortable working on computer programs

Preferences

Following skill sets are not required but candidate will get preference if he/she possesses any of the following:

• Working knowledge of python for historical data analysis or working on real-time analytics getting feed from a web API (Data structures, numpy, scikit-learn, tensor flow)
• MATLAB/R for Time series analysis
• Knowledge of AFL ( Amibroker Formula Language)

Advantages

• Steep learning curve
• Extensive training on mathematics of derivatives market
• Dynamic work environment(Everyday is different in its own way)
• Very small team and merit based growth
• Best in class Quarterly bonuses and revenue share post training period(where bonus can surpass the base salary)

Pay Structure

• Extensive training period(probation period) of 2 months(Stipend Paid during training period INR 10,000)
• Pay Structure post the training period:

Junior Trader:

Base Salary I + 5% of Revenue share

       Senior Trader:

(Base Salary I + 27% hike) + 10% of Revenue Share

Working Hours

We neither believe in staying unnecessary in office if there's nothing productive to be done nor do we believe in long unproductive lunch breaks

• Standard Market Hours
• Training Pre and Post market hours
• Our doors are open till the time you are working

Selection Process

• Quantitative Aptitude Test 
• Psychometric Test
• Personal Interview
• Super Day (Hands on work on high paced advance programs)