Data Engineer Intern

Data Drives How We

• Understand learner behavior (especially Tier 2/3/4 users)
• Improve engagement, retention, and learning outcomes
• Enable product, growth, and leadership decisions
  

What You Will Work On (Hands-on Responsibilities)

• Data Collection & Pipelines
• Assist in building and maintaining ETL/ELT pipelines.
• Help ingest data from:
• App & web product events
• Analytics tools (Mixpanel / Amplitude / GA4)
• Engagement platforms (CleverTap / MoEngage)
• Event Tracking & Analytics Support
• Support event tracking setup and validation.
• Help document event schemas and naming conventions.
• Assist in debugging missing or incorrect data.
• Data Warehouse & SQL
• Work with a central data warehouse (BigQuery / Postgres / similar).
• Write SQL queries to support analysis and reporting.
• Help optimize queries for performance.
• BI & Dashboards (Metabase Exposure)
• Build and maintain dashboards in Metabase.
• Help product & growth teams with ad-hoc data queries.
• Learn how self-serve analytics works in startups.
• Data Quality & Reliability
• Assist in data checks, validation, and monitoring.
• Support backfills and pipeline fixes.
• Learn best practices for data hygiene and reliability.
• Founder-Mindset Learning
  

As Part Of The Founding Team, You Will

• Learn how data influences real product decisions
• Work in ambiguity and fast-paced environments
• Take ownership of tasks end-to-end
• Get feedback directly from founders and leaders
  

• Basic to intermediate SQL knowledge.
• Familiarity with Python (for data handling).
• Understanding of data concepts (ETL, events, schemas, pipelines).
• Willingness to learn and work on real production data.
  

• Exposure to analytics tools: Mixpanel, Amplitude, GA4
• Familiarity with BI tools like Metabase
• Knowledge of product metrics (DAU, funnels, retention)
• Experience with cloud platforms (GCP / AWS) — optional
  

• Curious and analytical
• Comfortable learning fast
• Ownership-oriented
• Interested in startups and real-world data problems
  

• Hands-on experience with real production data
• Exposure to full data stack: ingestion → warehouse → dashboards
• Direct mentorship from founder & senior team
• Certificate + Letter of Recommendation
• Performance-based PPO opportunity
• Strong foundation for Data Engineer / Analytics roles
  

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