Agrim

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 hasscaled 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 areIIT/ IIM graduates and ex-entrepreneurs (with successful exits) and we have also built one of the best start-upteams, 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 sectorRole ContextAgrim is a rapidly scaling start-up(in business as well as people terms). Like start-ups in this stage, our currentTechnology landscape is built for agility and for Today&rsquo;s needs with the help of Technology partners who cater toour development needs. As we become larger, an in-house technology team becomes imperative to ensure we arebuilt 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 andownership, and has a love for metrics &amp; numbers. If chaos and ambiguity don&rsquo;t scare you, but rather propel you tobring method to madness and ownership of outcomes give you a high, we are the right place for you!Role: Data EngineerAbout The RoleWe are looking for a strong and passionate data engineer with experience in Data Warehouse/BusinessIntelligence/Data Pipelines/API Integration. This is a very high-impact role that will provide a well-roundedperspective on the Business and FinTech at Agrim and brings with it the opportunity to collaborate and interact witha multi-functional group. You will be a part of key initiatives for Agrim which will set the foundation for theCompany&rsquo;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 productionenvironments. 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 modelfeatures Responsible for building and maintaining our end-to-end data pipelines from various data sources Implement data modeling concept driven by business requirementsMinimum Qualifications 2+ years of industry experience in software development, data engineering, ML, business intelligence or arelated 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. &bull; Development expertise inUnix-based environmentsPreferred Qualification Industry experience as a Data Engineer or related specialty (e.g., Software Engineer, BusinessIntelligence Engineer, Data Scientist) with a track record of manipulating, processing, and extracting valuefrom 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 Opspractices Experience Integrating Zoho with AWS Service

Work type WFO Gurgaon
 
 Employ type Full-time
 
 Salary budget 15-30LPA

Data engineer(15LPA-30LPA)

Yugen.ai

Data Engineer/Cloud Data Engineer About Yugen Founded in 2020 by ex-Silicon Valley, IIT Alumni with prior experience in Tech Consulting and Product Management, Yugen is an early-stage startup in the Data Science and Machine Learning Engineering space. Simultaneous adoption of Algorithms, Engineering, and Responsible AI will shape the future, and Yugen&rsquo;s vision is to be at the forefront of that trend. We are working towards becoming India&rsquo;s leading player in the Data Science and MLOps consulting space over the next 4-6 years. About the Role and Responsibilities We're looking for Data Engineers who will work hands-on and manage technology projects across multiple client engagements. As a Data Engineer, you will be part of the Engineering and Technology function and eventually play a central role in building our MLOps platform. Your key responsibilities will be to - ● Translate business requirements into scalable technical solutions ● Design, build and manage Data Ingestion, transformation and exploration pipelines designed for high throughput/low latency ● Deploy a range of data engineering pipelines into production ● Collaborate with other ML Engineers and Data Scientists during System Design &amp; implementation/maintenance of Feature Stores and Model Monitoring ● Be result oriented and emphasise on on-time delivery of projects ● Communicate potential roadblocks and trade-offs between performance and complexity upfront ● Mentor other Data Engineers and enable their growth Yugen is currently an early-stage startup with a fast-growing client portfolio. We create scalable and reliable ML Systems and therefore Engineering is an extremely crucial part of our work. We are strongly committed to the &lsquo;Every promising model should face the test of reality&rsquo; philosophy. Key Qualifications Must Haves ● Knowledge and experience of deploying and maintaining large scale advanced systems in production environments ● 2+ years of hands on experience in building Distributed Computing - Spark/PySpark, Scala and Kafka ● Strong programming skills in Python &amp; SQL ● Experience in handling architectural and design considerations such as performance, scalability, reusability and flexibility issues ● 2+ years of hands-on experience in Cloud computing platforms (any one of AWS/Azure/GCP) ● Workflow management such as Airflow ● Linux environment, SQL &amp; NoSQL databases and Shell scripting ● Clear understanding of Git/version control Desirable ● Hands-on experience on deploying ML models ● Knowledge of feature stores ● Knowledge of deployments in Kubernetes containers

Work type WFH
 
 Employ type Full-time
 
 Salary budget Max 25L

Jobs available in Zigup

Data engineer(15LPA-30LPA)

Data engineer(Max 25L)