Data engineer(15LPA-30LPA)

Our journey:

Agrim is a fast-growing agri-tech startup building an on-demand B2B Agri-inputs marketplace. Agri-inputs is a

$50bn industry spread across Seeds, Agro Chemicals, Fertilizers, Agro-Tools, and Animal Feed. AGRIM has

scaled up rapidly across India, with 10% of the overall customer universe already onboarded on the platform.

Having closed our Series A round of funding with Tier-1 investors, we are very well capitalized. Our Founders are

IIT/ IIM graduates and ex-entrepreneurs (with successful exits) and we have also built one of the best start-up

teams, with senior executives from Tier-1 education institutes, e-commerce companies such as Amazon,

Hopscotch, Policy Bazaar, etc. and experienced industry professionals from the agriculture sector

Role Context

Agrim is a rapidly scaling start-up(in business as well as people terms). Like start-ups in this stage, our current

Technology landscape is built for agility and for Today’s needs with the help of Technology partners who cater to

our development needs. As we become larger, an in-house technology team becomes imperative to ensure we are

built for success in the future. A successful candidate would be someone who is a consummate techie at heart,

wants to go on a journey of building and scaling a technology team, a self-starter thrives with empowerment and

ownership, and has a love for metrics & numbers. If chaos and ambiguity don’t scare you, but rather propel you to

bring method to madness and ownership of outcomes give you a high, we are the right place for you!

Role: Data Engineer

About The Role

We are looking for a strong and passionate data engineer with experience in Data Warehouse/Business

Intelligence/Data Pipelines/API Integration. This is a very high-impact role that will provide a well-rounded

perspective on the Business and FinTech at Agrim and brings with it the opportunity to collaborate and interact with

a multi-functional group. You will be a part of key initiatives for Agrim which will set the foundation for the

Company’s Growth. You will be working on below mentioned Key Initiatives

 Build and automate ML processes: track, test, measure and deploy ML models in staging and production

environments.

 Build data pipelines to feed machine learning models for real-time and large-scale offline use cases

 Work closely with data scientists to scale model training and explore new data sources and model

features

 Responsible for building and maintaining our end-to-end data pipelines from various data sources

 Implement data modeling concept driven by business requirements

Minimum Qualifications

 2+ years of industry experience in software development, data engineering, ML, business intelligence or a

related field.

 Strong Troubleshooting and problem-solving skills.

 Production experience programming in Python.

 Understanding of data management fundamentals and data storage principles.

 Production experience with one or more major SQL databases.

 Good communication, collaboration, analytical and problem-solving skills. • Development expertise in

Unix-based environments

Preferred Qualification

 Industry experience as a Data Engineer or related specialty (e.g., Software Engineer, Business

Intelligence Engineer, Data Scientist) with a track record of manipulating, processing, and extracting value

from large datasets

 Experience in large-scale data warehousing and analytics projects, including use of AWS services -

Redshift, S3, EC2, etc.

 Experience with agile development methodologies by following DevOps, Data Ops and Dev Sec Ops

practices

 Experience Integrating Zoho with AWS Service