Business Development Manager

**Overview:**

Join our fast-growing startup as a Sr. Ecommerce Manager, where you'll play a pivotal role in driving revenue and profit growth. This position requires a dynamic Key Account Manager (KAM) with a proven track record in ecommerce, ready to make an immediate impact.

**Responsibilities:**

- Deliver on Sales plan, gross margin plan, inventory refills, and overall P&L.

- Develop Sales targets with E-Commerce portals, creating a 360-degree marketing plan for platforms like Amazon, Flipkart, and BigBasket.

- Research market trends, monitor competitor activity, and identify promotional opportunities.

- Monitor and analyze Sales figures, making improvements to increase revenue.

- Ensure a complete product assortment, comprehensive product content, improved organic search ranking, and performance benchmarking for the Ecommerce channel.

- Generate and implement new sales and marketing initiatives for increased profitability.

- Manage the user experience of the website, including navigation, content, creative, and promotional campaigns.

- Collaborate with Brand partners to ensure a demonstrable ROI.

Requirements

- Minimum 4 years of experience in any industry.

- Ecommerce expertise on platforms like Amazon, Flipkart, Swiggy, Big Basket, and other Marketplace and Long-tail channels is a MUST.

- Ownership of Business P&L.

- Strong ability to collaborate with internal and external stakeholders.

- Willingness to experiment and continuously improve.

- Adaptability to business needs and performance accordingly.

The candidate should have good knowledge about the job role. Must have good writing skills. Communication skills are must.

We are looking for a great JavaScript developer who is proficient with React.js. Your primary focus will be on developing user interface components and implementing them following well-known React.js workflows (Redux). You will ensure that these components and the overall application are robust and easy to maintain. You will coordinate with the rest of the team working on different layers of the infrastructure. Therefore, a commitment to collaborative problem-solving, sophisticated design and quality products is important.

Responsibilities

• Developing new user-facing features using React.js
• Building reusable components and front-end libraries for future use
• Translating designs and wireframes into high quality code
• Optimizing components for maximum performance across a vast array of web-capable devices and browsers

Skills

• Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model
• Thorough understanding of React.js and its core principles
• Experience with popular React.js workflows (Redux)
• Familiarity with newer specifications of EcmaScript
• Experience with data structure libraries (e.g., Immutable.js)
• Knowledge of isomorphic React is a plus
• Familiarity with RESTful APIs
• Knowledge of modern authorization mechanisms, such as JSON Web Token
• Familiarity with modern front-end build pipelines and tools
• Experience with common front-end development tools such as Babel, Webpack, NPM, etc.
• Ability to understand business requirements and translate them into technical requirements
• A knack for benchmarking and optimization
• Familiarity with code versioning tools GIT
• Familiarity with Docker

Requirements:

• Bachelor’s/Master in computer science
• 3-5 years of work experience
• Excellent problem-solving skills
• Able to work in a fast, unstructured environment
• Excellent communication and collaboration skills
• Must have access to FTTH internet connection

We are currently looking for Senior Recruiters & Recruitment Executives for our Job Search Services department.

Responsibilities:
 

• Research, register and apply for jobs available overseas, as per the client's requirement.
• Develop and implement a search strategy that includes recruitment agencies, employer websites, job boards and social networks.
• Understand the client's profile and suggest the availability of jobs as per their requirement.
• Review resumes and credentials for appropriateness of skills, experience and knowledge.
• Understand different skill sets and job descriptions and apply for the right job on job portals, recruitment boards, recruitment agencies & directly company's website.
• Ability to interact with the clients on call and email on their job search services.
• Coordinate responses and interview schedules with clients, as needed.

Company Description

At Bungee Tech, we help retailers and brands meet customers everywhere and, on every occasion, they are in. We believe that accurate, high-quality data matched with compelling market insights empowers retailers and brands to keep their customers at the center of all innovation and value they are delivering. 

We provide a clear and complete omnichannel picture of their competitive landscape to retailers and brands. We collect billions of data points every day and multiple times in a day from publicly available sources. Using high-quality extraction, we uncover detailed information on products or services, which we automatically match, and then proactively track for price, promotion, and availability. Plus, anything we do not match helps to identify a new assortment opportunity.

Empowered with this unrivalled intelligence, we unlock compelling analytics and insights that once blended with verified partner data from trusted sources such as Nielsen, paints a complete, consolidated picture of the competitive landscape.

We are looking for a Big Data Engineer who will work on the collecting, storing, processing, and analyzing of huge sets of data. The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them.

You will also be responsible for integrating them with the architecture used in the company.

We're working on the future. If you are seeking an environment where you can drive innovation, If you want to apply state-of-the-art software technologies to solve real world problems, If you want the satisfaction of providing visible benefit to end-users in an iterative fast paced environment, this is your opportunity.

Responsibilities

As an experienced member of the team, in this role, you will:

• Contribute to evolving the technical direction of analytical Systems and play a critical role their design and development

• You will research, design and code, troubleshoot and support. What you create is also what you own.

• Develop the next generation of automation tools for monitoring and measuring data quality, with associated user interfaces.

• Be able to broaden your technical skills and work in an environment that thrives on creativity, efficient execution, and product innovation.

BASIC QUALIFICATIONS

• Bachelor’s degree or higher in an analytical area such as Computer Science, Physics, Mathematics, Statistics, Engineering or similar.
• 5+ years relevant professional experience in Data Engineering and Business Intelligence
• 5+ years in with Advanced SQL (analytical functions), ETL, Data Warehousing.
• Strong knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures, data modeling and performance tuning.
• Ability to effectively communicate with both business and technical teams.
• Excellent coding skills in Java, Python, C++, or equivalent object-oriented programming language
• Understanding of relational and non-relational databases and basic SQL
• Proficiency with at least one of these scripting languages: Perl / Python / Ruby / shell script

PREFERRED QUALIFICATIONS

• Experience with building data pipelines from application databases.
• Experience with AWS services - S3, Redshift, Spectrum, EMR, Glue, Athena, ELK etc.
• Experience working with Data Lakes.
• Experience providing technical leadership and mentor other engineers for the best practices on the data engineering space
• Sharp problem solving skills and ability to resolve ambiguous requirements
• Experience on working with Big Data
• Knowledge and experience on working with Hive and the Hadoop ecosystem
• Knowledge of Spark
• Experience working with Data Science teams