Bungee Tech India

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 in 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 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’re looking for a Sr. Full Stack Developer who will take a key role on our team. Our

Full Stack developer must have knowledge in all stages of software development.

You’ll be working alongside other engineers and developers, collaborating on the

various layers of the infrastructure for our SAAS platforms.

 

Responsibilities:

• Design, implement, maintain & support data intensive analytics based backend services using node.js, javascript

• Design, implement, maintain & support UI components using React.js, Html, CSS, Javascript

• Design, implement, maintain & support data persistence stores that back the backend services using both NoSql & Sql based databases

• Work with graphic designers and convert designs to visual elements.

• Maintain quality, performance and ensure responsiveness of applications.

• Understand and implement security and data protection.

• Focus on Engineering and Operation excellence

• Mentor fellow engineers to get projects executed


Qualifications:

• 5+ years of experience in building horizontally scalable backend services & responsive UI on the cloud

• 5+ years of experience building backend services using Node.js and persistence stores like DynamoDB(NoSQL), AuroraDB(RDBMS/SQL), Elastic Search & S3.

• 5+ years of experience building responsive UI using react.js, angular.js, html, CSS, javascript

• Strong in problem solving, dealing with ambiguity, coding, DS, algorithm

• Strong in Architecting SaaS systems on the cloud with focus on OE, Reliability, Availability, Security, Performance and Cost optimization

• Strong in writing modular, maintainable code using the right design patterns

• Experience with AWS and other cloud technologies.

BENEFITS:

At Bungee, you can work from anywhere in India. We offer flexibility in schedules, reimbursments for home office expenses, a top notch health plan that covers you and your family, retirement benefit and generous paid time off.

Annual Salary: Cash Compensation + Employee Stock Options.

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