About The Company

DeHaat is a leading agritech company dedicated to transforming the agricultural landscape by providing comprehensive solutions to farmers, agribusinesses, and stakeholders within the agriculture ecosystem. With a focus on leveraging technology and data-driven insights, DeHaat aims to empower farmers with access to quality inputs, advisory services, market linkages, and financial products. Our innovative platform integrates data analytics, supply chain management, and digital tools to enhance productivity, profitability, and sustainability for the farming community.

Committed to creating a positive impact on rural livelihoods, DeHaat continuously invests in cutting-edge technology and talented professionals to drive growth and innovation in the agricultural sector.

About The Role

We are seeking a highly motivated and detail-oriented Data Analyst / Data Engineer Intern to join our Product & Technology team. In this role, you will be instrumental in building and maintaining robust data pipelines, developing operational dashboards, and supporting data-driven workflows that facilitate better decision-making across various departments. This internship offers a unique opportunity to gain hands-on experience with production data systems, cloud-based databases, and internal tools using frameworks like Frappe/ERPNext.

You will work closely with cross-functional teams to understand their data needs, troubleshoot issues, and implement scalable solutions that improve data accuracy and operational efficiency.

Qualifications The ideal candidate should possess a strong foundation in computer science fundamentals, particularly in data management and analytics. Proficiency in SQL and Python is essential, along with a good understanding of relational databases and data modeling concepts. Familiarity with ETL/ELT pipelines, scheduled data jobs, and API integrations will be highly valued.

Candidates should demonstrate excellent problem-solving skills, attention to detail,



and the ability to learn new technologies quickly. Prior experience with Frappe Framework, ERPNext, or cloud databases like AWS RDS or Redshift is a plus. A proactive attitude and the ability to work independently on technical projects are important traits for success in this role.

Responsibilities

- Manage and optimize data pipelines across multiple sources including AWS RDS, Amazon Redshift, application databases, APIs, and internal systems such as Google Sheets.
- Write complex SQL queries for data extraction, transformation, reconciliation, and reporting purposes.
- Develop Python scripts to automate ETL/ELT workflows, perform data validation, and handle data transformations.
- Monitor and troubleshoot scheduled data workflows, identify pipeline failures, and resolve data quality issues such as duplicates or schema mismatches.
- Implement data validation and reconciliation checks to ensure data integrity between source systems and dashboards.
- Work with APIs and JSON payloads to facilitate seamless data exchange between different applications.
- Create comprehensive documentation for data sources, schemas, transformations, and dependencies to ensure transparency and maintainability.
- Design and maintain operational dashboards and internal tools using Frappe Framework / ERPNext, translating business requirements into functional components.
- Connect Frappe applications with databases, APIs, and internal data pipelines to support real-time data visualization and reporting.
- Debug data discrepancies, enhance dashboard usability, and improve data refresh rates to ensure timely insights.
- Support frontend customization using JavaScript, HTML, CSS,



and Frappe scripting languages as needed.
- Utilize tools such as Postman for API testing, debugging, and validation of integrations.
- Perform quality assurance checks on product releases, ensuring data accuracy and system stability.
- Assist in workflow automation and optimize internal processes using AI tools like ChatGPT, Claude, or similar LLMs for coding, documentation, and troubleshooting.
- Prepare technical documentation, data dictionaries, SOPs, and implementation notes to facilitate team understanding and onboarding.
- Quickly adapt to new systems and collaborate across engineering, product, and business teams to meet project objectives.

Benefits Joining DeHaat as a Data Intern offers a dynamic setting focused on innovation and impact. You will gain valuable hands-on experience working with real-world data pipelines, cloud databases, and enterprise applications. The internship provides exposure to cutting-edge technologies, including AWS cloud services, Frappe Framework, and AI-powered tools, fostering your technical growth. Additionally, you will have the opportunity to work closely with experienced professionals, develop your problem-solving skills, and contribute directly to the company's mission of empowering farmers and transforming agriculture.

We offer a collaborative work culture that encourages learning, creativity, and ownership, along with competitive stipends and potential for future opportunities within the organization.

Equal Opportunity

DeHaat is an equal opportunity employer committed to fostering an inclusive environment for all employees and interns. We value diversity and do not discriminate based on race, gender, religion, age, disability, or any other characteristic protected by law. We believe in providing equal access to opportunities and creating a workplace where everyone can thrive and contribute to our mission of transforming agriculture through technology and innovation.

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