About The Company

DeHaat is a leading agritech platform dedicated to transforming the agricultural landscape by providing comprehensive solutions to farmers, agribusinesses, and stakeholders across the agricultural value chain. With a focus on leveraging technology and data-driven insights, DeHaat aims to enhance productivity, improve income levels for farmers, and promote sustainable farming practices. The company integrates cutting-edge digital tools, supply chain management, and innovative financial services to create a holistic ecosystem that empowers rural communities and fosters inclusive growth.

About The Role

We are seeking a motivated and detail-oriented Data Analyst / Data Engineer Intern to join our Product & Technology team. This role offers an excellent opportunity to work on building and maintaining robust data pipelines, developing operational dashboards, and supporting data-driven decision-making processes within a rapid-paced environment. The ideal candidate will have a strong technical foundation, a passion for data management, and an eagerness to learn about how data powers our core business functions.

This internship is designed to provide practical experience in managing data workflows, working with cloud-based databases, and developing internal tools using Frappe Framework / ERPNext. The role involves close collaboration with cross-functional teams to translate business needs into technical solutions, ensuring data accuracy, quality, and accessibility across the organization.

Participants will gain exposure to a variety of technologies including AWS databases, SQL, Python scripting, API integrations, and dashboard development, making this an ideal platform for aspiring data professionals to develop their skills and contribute meaningfully to DeHaat’s digital transformation initiatives.

Qualifications The ideal candidate should possess a strong foundation in computer science principles, with proficiency in data management and scripting. Basic understanding of relational databases, data modeling, and ETL/ELT processes is essential. Candidates should have experience working with SQL and Python,



along with familiarity with REST APIs and JSON formats.

Strong analytical thinking, problem-solving skills, and attention to detail are critical for success in this role. Knowledge of cloud databases such as AWS RDS or Amazon Redshift, as well as experience with dashboard tools or internal reporting platforms, will be advantageous. The ability to learn new technologies quickly and work independently on technical projects is highly valued.

Responsibilities

Data Engineering & Data Pipelines:

- Design, develop, and troubleshoot data pipelines connecting multiple sources such as AWS RDS, Amazon Redshift, application databases, APIs, Google Sheets, and other internal systems.
- Write optimized SQL queries for data extraction, transformation, and reporting purposes.
- Create Python scripts to automate ETL/ELT workflows, validate data, and perform data transformations.
- Monitor scheduled data workflows and manage cron jobs to ensure smooth operations.
- Identify and resolve data pipeline failures, missing data, duplicates, and schema inconsistencies.
- Implement data validation and reconciliation checks to ensure data integrity across systems.
- Work with APIs and JSON-based data exchanges to facilitate seamless data movement between applications.
- Document data sources, schemas, transformation logic, and dependencies to maintain comprehensive data documentation.

Dashboarding & Frappe-Based Applications

- Develop and maintain operational dashboards, reports, DocTypes, forms, and workflows within the Frappe Framework / ERPNext environment.
- Integrate Frappe applications with databases, APIs, and internal data pipelines for real-time data access.
- Create dashboards tailored for Product, Technology, Field,



and Business teams to support operational decision-making.
- Translate complex business requirements into structured datasets, KPIs, filters, and visual components.
- Debug and resolve data discrepancies between backend databases and dashboard outputs.
- Enhance dashboard usability, performance, and data freshness through iterative improvements.
- Support frontend customization using JavaScript, HTML, CSS, and Frappe scripting as needed.

Additional Responsibilities

- Utilize tools like Postman for API testing, debugging, and validation.
- Work with REST APIs, JSON payloads, authentication mechanisms, and webhook integrations.
- Conduct quality assurance testing for products and data before deployment.
- Assist in workflow automation to streamline internal processes.
- Leverage AI tools such as ChatGPT, Claude, or similar LLMs for coding, documentation, debugging, and workflow automation.
- Prepare comprehensive technical documentation, data dictionaries, SOPs, and implementation notes.
- Quickly adapt to new systems and work across multiple technology platforms to meet project needs.

Benefits Joining DeHaat as an intern offers a rich learning environment with exposure to real-world data ecosystems, cloud databases, and internal application development. Interns will work closely with experienced professionals, gaining hands-on experience in data pipeline management, dashboard creation, and workflow automation. The role provides an excellent platform to develop technical skills in SQL, Python, API integrations, and Frappe Framework, all within a mission-driven organization committed to agricultural innovation. Additionally, interns will have opportunities to participate in cross-functional projects, contribute to impactful solutions, and build a professional network in the technology and agritech sectors. DeHaat supports continuous learning and offers a collaborative work environment that encourages innovation, problem-solving, and growth.

Equal Opportunity

DeHaat is an equal opportunity employer committed to fostering an inclusive environment for all employees and interns. We

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