Vyapar - Data Engineer - ETL/Data Pipeline

Vyapar - Data Engineer - ETL/Data Pipeline

28 Aug
|
Vyapar App
|
Bengaluru

28 Aug

Vyapar App

Bengaluru

Role : DATA ENGINEER



Location : Bengaluru, India



About Vyapar :



We are a technology and innovation company in the fintech space, delivering business accounting software to Micro, Small & Medium Enterprises (MSMEs). With more than 5 Million users across 140 countries, we are one of the fastest growing companies in this space. We take the complexity out of invoicing, inventory management & accounting, making it so simple, such that small businesses can spend less time on manual bookkeeping and spend more time focusing on areas of business that matter.



Role Summary :









Vyapar's Engineering team builds the technology platform that eases and digitizes our customers' bookkeeping and enables the transition of cumbersome accounting data from general bookkeeping to a digitized always available resource.



We are looking for a Data Engineer who can create and maintain optimal data pipeline architecture for greater scalability. Your primary focus is to build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources. Strong understanding of RDBMS, is critical for the role.



Key Responsibilities:



- Translate designs and wireframes into high quality code.



- Design, build, and maintain high performance, reusable, and reliable APIs.



- Ensure the best possible performance, quality, and responsiveness of the APIs.



- Identify and correct bottlenecks and fix bugs.



- Help maintain code quality, organization, and automation.



- Helping the team members and guiding them for the right design and Skills And Requirements :



1. Must have :



- Strong experience in SQL.



- Database - MongoDB, MySql.



- Data Structures, Algorithms.



- Strong Problem-solving skills.









- Familiarity with caching technologies.



- Familiarity with Continuos Integration tools.



2. Good to have :



- Knowledge of Big query.



- A knack for benchmarking and optimization.



Experience :



- 2 to 4 years of relevant experience in data engineering.



- Experience in administering visualization/ SQL workbench tools.



- Should have 2 years of experience in MongoDB and MySQL.



- Product Company background is a plus.



- Startup experience is also a plus.



Education : A full-time B.E/ B.Tech Degree from a recognized university.



(ref:hirist.com)

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