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Open nowPosted 103 days ago

AI Data Engineering Intern

Datastraw16 open roles

Where
Mumbai
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Your applicationOpen nowAI Data Engineering InternDatastraw · Mumbai

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Datastraw's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 103 days ago

The posting

Location: Ghatkopar West, Mumbai

Work Schedule: Monday to Saturday

Work Model: Hybrid (4 Days Work From Office + 2 Days Work From Home)

Shift Timings: 10:00 AM - 7:00 PM IST

About Datastraw

We started Datastraw to solve a real problem, growing D2C and e-commerce brands struggling with operational chaos while scaling. We work closely with brands to manage customer support, streamline backend operations, and implement AI solutions that improve efficiency and create real business impact.

About the Role

If you like building things like AI tools, automations, workflows, data-driven systems, or products that solve real problems, you’ll probably enjoy this role.

We’re looking for an AI + Data Engineering Intern for a 6-month internship who wants to learn fast, take ownership, and work on real projects instead of just doing routine intern tasks. You’ll work on full-stack features, AI agents, automations, internal tools, and data workflows that help improve real business operations. From idea to deployment, you’ll get hands-on experience with modern AI tools, automation platforms, product building, and data-driven problem solving in a fast-moving team.

What You’ll Do

  • Build AI agents, automations, and connected systems using n8n, APIs, webhooks, and third-party tools to streamline real business workflows.
  • Create ETL pipelines and AI-powered workflows to clean, process, and enhance data efficiently.
  • Build modern full-stack applications, internal tools, and dashboards using React/Vue and Supabase to solve real operational challenges.
  • Analyze data, identify improvement opportunities, and turn insights into smarter products and automations.
  • Take ownership of projects from idea to deployment, including planning, development, testing, and launch.

Must Have Skills

  • Familiarity with at least one programming language such as JavaScript or Python, along with a strong willingness to learn and adapt quickly.
  • Good understanding of databases, APIs, and how modern web applications work.
  • Strong learning attitude with the ability to adapt quickly, think independently, and solve problems proactively.
  • Knows how to use AI tools like ChatGPT and Claude effectively to learn faster, solve problems, and build better solutions
  • Someone who takes ownership, works proactively, and can independently drive tasks and projects forward.

Good to Have

  • Experience with React, Vue, or similar frontend frameworks, along with familiarity with tools like Supabase, Firebase, or PostgreSQL.
  • Exposure to automation platforms like n8n, Make, Zapier, or similar tools for building workflows and automations.
  • Built side projects, experiments, or contributed to open-source projects that showcase your interest in technology and problem-solving.
  • Basic understanding of data analysis, dashboards, or reporting tools like Looker Studio or Power BI.
  • Familiarity with D2C or e-commerce operations, metrics, and growth KPIs is a plus.

Tech Stack & Tools

Supabase, React/Vue, n8n, PostgreSQL, REST APIs, Webhooks, Looker Studio, Google Sheets, Claude API,

ETL Pipelines, AI tools (Claude, ChatGPT, etc.).

Why Join Datastraw?

  • Work on real-world AI, automation, and product projects while learning modern tools and technologies
  • Grow in a fast-paced, collaborative environment with direct exposure to impactful work
  • Opportunity to earn a Pre-Placement Offer (PPO) based on your performance and contribution
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