Business Development Executive

Job Title: Content Writer

Company: Aarohan Agri Products Pvt. Ltd.

Location: bhopal

Job Type: Full-time

Contact Email: hr @ aarohanagriproducts.com / 9685 87 12 09

About Us

Aarohan Agri Products Pvt. Ltd. is a fast-growing company in the agricultural sector. We focus on delivering high-quality agricultural products and sustainable farming solutions. We are looking for a creative storyteller to join our team and elevate our brand voice.

Job Overview

We are seeking a talented and motivated Female Content Writer to create engaging content. You will write for our digital platforms, print materials, and marketing campaigns. The ideal candidate has a passion for writing, marketing, and the agricultural industry.

Key Responsibilities

• Write clear articles and blog posts about agriculture and sustainable farming.
• Create social media content for Instagram, Facebook, and LinkedIn.
• Develop website copy that effectively explains our products and mission.
• Draft email newsletters to engage our clients and farming community.
• Collaborate with marketing teams to brainstorm new content ideas.
• Proofread and edit all content before publication to ensure quality.

Requirements and Qualifications

• Proven writing experience as a Content Writer, Copywriter, or similar role.
• Excellent English skills with strong writing, editing, and proofreading abilities.
• Strong research skills to understand complex agricultural topics easily.
• Basic SEO knowledge to help optimize online content for search engines.
• Good time management to meet project deadlines consistently.
• Degree in English, Journalism, Marketing, Agriculture, or a related field is preferred.

How to Apply

Interested candidates should send their resume and writing portfolio to hr mail id of aarohanagriproducts . Please use "Content Writer Application - [Your Name]" as the email subject line.

We are seeking a mature, proactive, and highly capable Senior Java Full Stack Engineer with 4 – 6+ years of mid/senior profile in Java, Full Stack, React, Cloud Services. The ideal candidate can handle multiple challenges independently, think smartly, and build scalable end-to-end applications while also owning architecture and deployment. Passionate about innovation, problem-solving and optimizing system performance.

Must Have Skills

• Java, Spring Boot, Hibernate, REST API, Gradle, Redis
• React JS, Node JS, Vue JS, or TypeScript
• Cloud Services (AWS, VM, Storage, Auth and Auth, Functions, and Deployments) 
• Microservices, Serverless Architecture
• Databases: MySQL, PostgreSQL, MongoDB
• Docker, Container orchestration (Kubernetes)
• API Development & Integration
• Bitbucket or Git-based version control
• Agile/Kanban working model

Good to Have Skills

• Familiarity with AI-powered coding assistants such as GitHub Copilot, Cursor AI, or Lovable AI.
• Basic understanding of Generative AI concepts and prompt engineering.
• Python (Fast API, Django REST Framework, Flask), PY Spark, Pandas
• API Testing Tools (Postman)
• CI/CD Pipelines
• Advanced Cloud Networking & Security
• Automation Testing (Playwright, Selenium) 
• Generative AI (LLMs, RAG Framework, Vector DB, AI Chatbots, Agentic AI)

Preferred Personal Attributes

• Highly proactive and self-driven
• Smart problem solver with strong analytical ability
• Ability to work independently in ambiguous and complex scenarios
• Strong communication & stakeholder management skills
• Ownership mindset and willingness to handle multiple challenges at once

Key Responsibilities

Full Stack Development

• Build and maintain production-grade applications using Java, Microservices, Python, and React/Next.js.
• Develop reusable frontend components and optimized backend services/microservices.
• Ensure clean architecture, maintainability, and code quality.
• Own development across the lifecycle—design, build, testing, deployment.
• Build AI chatbots, automation agents, and intelligent Assistants.
• Apply prompt engineering, fine-tuning, and model evaluation best practices.
• Deploy, manage, and monitor cloud workloads on AWS/Azure/GCP.
• Design and implement serverless architectures, microservices, and event-driven flows.
• Use Docker, CI/CD, and best DevOps practices.
• Ensure scalability, security, cost optimization, and reliability.

Collaboration & Leadership

• Comfortably handle ambiguity, break down problems, and deliver with ownership.
• Lead technical initiatives and mentor junior team members.
• Work closely with cross-functional teams in Agile/Kanban environments.

Review Criteria:

• Strong Dremio / Lakehouse Data Architect profile
• 5+ years of experience in Data Architecture / Data Engineering, with minimum 3+ years hands-on in Dremio
• Strong expertise in SQL optimization, data modeling, query performance tuning, and designing analytical schemas for large-scale systems
• Deep experience with cloud object storage (S3 / ADLS / GCS) and file formats such as Parquet, Delta, Iceberg along with distributed query planning concepts
• Hands-on experience integrating data via APIs, JDBC, Delta/Parquet, object storage, and coordinating with data engineering pipelines (Airflow, DBT, Kafka, Spark, etc.)
• Proven experience designing and implementing lakehouse architecture including ingestion, curation, semantic modeling, reflections/caching optimization, and enabling governed analytics
• Strong understanding of data governance, lineage, RBAC-based access control, and enterprise security best practices
• Excellent communication skills with ability to work closely with BI, data science, and engineering teams; strong documentation discipline
• Candidates must come from enterprise data modernization, cloud-native, or analytics-driven companies

Preferred:

• Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) or data catalogs (Collibra, Alation, Purview); familiarity with Snowflake, Databricks, or BigQuery environments

Role & Responsibilities:

You will be responsible for architecting, implementing, and optimizing Dremio-based data lakehouse environments integrated with cloud storage, BI, and data engineering ecosystems. The role requires a strong balance of architecture design, data modeling, query optimization, and governance enablement in large-scale analytical environments.

• Design and implement Dremio lakehouse architecture on cloud (AWS/Azure/Snowflake/Databricks ecosystem).
• Define data ingestion, curation, and semantic modeling strategies to support analytics and AI workloads.
• Optimize Dremio reflections, caching, and query performance for diverse data consumption patterns.
• Collaborate with data engineering teams to integrate data sources via APIs, JDBC, Delta/Parquet, and object storage layers (S3/ADLS).
• Establish best practices for data security, lineage, and access control aligned with enterprise governance policies.
• Support self-service analytics by enabling governed data products and semantic layers.
• Develop reusable design patterns, documentation, and standards for Dremio deployment, monitoring, and scaling.
• Work closely with BI and data science teams to ensure fast, reliable, and well-modeled access to enterprise data.

Ideal Candidate:

• Bachelor’s or Master’s in Computer Science, Information Systems, or related field.
• 5+ years in data architecture and engineering, with 3+ years in Dremio or modern lakehouse platforms.
• Strong expertise in SQL optimization, data modeling, and performance tuning within Dremio or similar query engines (Presto, Trino, Athena).
• Hands-on experience with cloud storage (S3, ADLS, GCS), Parquet/Delta/Iceberg formats, and distributed query planning.
• Knowledge of data integration tools and pipelines (Airflow, DBT, Kafka, Spark, etc.).
• Familiarity with enterprise data governance, metadata management, and role-based access control (RBAC).
• Excellent problem-solving, documentation, and stakeholder communication skills.

Preferred:

• Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) and data catalogs (Collibra, Alation, Purview).
• Exposure to Snowflake, Databricks, or BigQuery environments.
• Experience in high-tech, manufacturing, or enterprise data modernization programs.

Robotics trainer ---

* Hands on experience in technical content writing.

* Embedded C, microcontrollers like ARM, PIC, AVR.  

* Communication protocols like CAN, I2C, SPI.

* Basics of Robo control mechanism.

* ADC nad DAC interfacing with sensors.

* Good Communication skills.

Job Description –

• Full stack developer position.
• Should have total of 5-7 years of experience.
• Should have min. of 2 years of experience in developing Enterprise apps on React.js and 2 years on Django apps.
• Very good in Data structure, logical reasoning, and algorithms.
• Experience with cloud providers like AWS or Azure or GCP is also required.
• Good Understanding of Design and Integration patterns.
• Ability to work independently and with lots of ownership.
• Ability to learn and apply newer technologies quickly.
• Good to have knowledge in building progressive web apps.

Role Description

• You will be full stack senior developer.
• Handle team of junior backend and frontend developer.
• You can and want to write code end-to-end.
• You would enjoy designing a system for speed and scale.
• Developing product using Reactjs for front end and Python for back end.
• We want you to debate on the pros and cons of different architectures and tech stack choices and be real contributing members.
• We want people who can and want to learn new stuff in real-time while on the job.

Skills - JavaScript, React.js, HTML, CSS, SQL with MySQL / PostgreSQL, Python, Django, AWS or Azure or GCP