DeHaat is hiring for an FRESHER entry level Data Analyst/Data Engineer Intern role in India

Position: Data Analyst / Data Engineer Intern

Company: DeHaat

Location: Gurugram, Haryana, India

Job type: Full-time Internship

Job mode: On-site

Job requisition id: Not specified in the original JD

Years of experience: 0-3 years (College students can also try)

Company description

• DeHaat stands as one of the most rapidly expanding technology ventures within the Indian agricultural sector, pioneering full-stack solutions tailored specifically for rural farming communities.

• Driven by advanced artificial intelligence and digital innovations, the organization actively restructures conventional agricultural ecosystems, optimizing end-to-end supply chain logistics and boosting farm productivity.

• The company currently maintains an operational footprint across 12 prominent agricultural states, powering a ground-level network of over 15,000 localized DeHaat distribution centers and partnering with 503 Farmer Producer Organizations.

• Through these digital hubs, the platform directly impacts and supports more than 12.8 million farmers across India by offering personalized crop advisories in native languages covering 30 distinct crops.

• Established by visionaries from premier academic institutes such as IIT Delhi, IIT Kharagpur, and IIM Ahmedabad, the venture has built a highly scalable enterprise architecture.

• As a backed startup experiencing exponential year-on-year growth, the firm continuously receives high-profile accolades from global institutions like the Bill Gates Foundation, NITI Aayog, NASSCOM, Forbes, and The Economic Times.

Profile overview

• The Product & Technology group at DeHaat is recruiting a motivated Data Analyst / Data Engineer Intern to directly contribute to building, monitoring, and streamlining core data processing mechanisms.

• In this technical position, the candidate will work closely alongside engineering leads and product managers to develop robust data pipelines, maintain dynamic dashboards, and manage operational reporting workflows.

• The role requires strong foundational capabilities in modern database administration, pipeline infrastructure, and programmatic data transformation techniques.

• A core focus lies in engineering robust data pipelines capable of transferring information across distributed cloud databases, internal platforms, APIs, and business applications.

• The intern will be responsible for crafting, executing, and refining high-performance SQL queries designed for data extraction, operational reconciliation, and standard metric reporting.

• Beyond traditional analytics, the candidate will build production-grade ETL and ELT processes utilizing Python scripts to perform validation routines, automation sequences, and complex data cleanses.

• The selected engineer will monitor continuous automation jobs, identify system alerts, resolve failing workflows, and resolve schema mismatches across operational environments.

• In addition to data infrastructure tasks, a major workload component revolves around developing, customizing, and scaling interactive management dashboards utilizing the Frappe Framework and ERPNext systems.

• The candidate will interface backend database clusters directly into business dashboards, creating structured data models, customized key performance indicators, and dynamic search parameters.

• This role acts as a bridge between pure software development and functional business requirements, granting deep exposure to enterprise product development and cloud architectures.

Qualifications

• Demonstrated academic background or core practical knowledge in Computer Science, Data Engineering, Software Engineering, or related quantitative disciplines.

• High proficiency in writing complex SQL queries involving multi-table joins, subqueries, Common Table Expressions, aggregations, and performance-tuned data manipulations.

• Solid practical coding skills in Python tailored specifically for automation workflows, structural data transformation, and scripting tasks.

• Fundamental mastery of relational database structures, normalized data modeling practices, and database schema organization.

• Practical understanding of ETL/ELT pipeline creation, scheduled script execution, and data flow synchronization.

• Advanced familiarity with spreadsheet tools like Google Sheets or Microsoft Excel for fast data verification and pivot analysis.

• Solid baseline knowledge regarding RESTful API architectures, structural JSON object parsing, and API debugging via client utilities such as Postman.

• Excellent analytical reasoning capabilities combined with systemic problem-solving skills to isolate root causes in failing pipelines.

• Preferential consideration for applicants having hands-on experience or familiarity with the Frappe Framework or ERPNext platform.

• Advantageous exposure to relational cloud database environments such as Amazon Web Services RDS, Amazon Redshift, PostgreSQL, or MySQL engine variants.

• Familiarity with Linux server navigation, task schedulers, cron job management, and Git version control tools.

• Baseline familiarity with web technologies including JavaScript, HTML, and CSS for quick frontend adjustments.

• Active experience incorporating generative AI programming assistants, such as ChatGPT, Claude, or Cursor, into coding and troubleshooting tasks.

Additional info

• The designated internship requires a dedicated on-site commitment duration ranging from 6 to 9 months at the corporate head office located in Gurugram, India.

• Selected candidates must be prepared to join immediately upon receiving an official offer from the talent acquisition team.

• The position operates entirely within an on-site office model, requiring active presence at the technology development facility in Haryana.

• The intern will gain hands-on technical experience working directly on live, large-scale production environments containing real-world agricultural data datasets.

• Excellent candidate growth path offering direct engagement with modern technologies including AWS infrastructure, Frappe application builds, and automated workflow orchestrations.

• Candidates are expected to take complete technical ownership of assigned micro-projects, managing them from initial requirement collection through deployment and rigorous QA testing.

• The role requires continuous cross-functional collaboration alongside engineering teams, business intelligence analysts, field operations, and product designers.

• The company provides a technical environment that encourages developers to leverage AI-assisted tools for rapid prototyping, automated documentation creation, and standard operating procedure development.

Please click here to apply.