Data Engineer

Overview

Data Engineer (Walk-in Interview) | Own the Data Backbone of Learnyst

Experience: 2 to 4 Years

Location: Bangalore

Company: Learnyst

Walk-in Interview date: Saturday, March 7 2026

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Why This Role Matters

At Learnyst, we do not treat data as reporting.

We treat it as infrastructure.

We are building a high-velocity SaaS platform. Decisions must move fast. Experiments must ship fast. Feedback loops must collapse.

We are looking for a Data Engineer who thinks like a system builder, not a report generator.

If you want to maintain dashboards, this role is not for you.

If you want to own the entire data foundation of a scaling SaaS company, read on.

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What You Will Own

You will be the first data hire, No existing stack, no legacy constraints. You choose the tools.

You will own the end-to-end data backbone of Learnyst.

From event capture to pipelines to warehouse to modeling to metric definitions to BI enablement.

No silos. No handoffs. Full ownership.

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Responsibilities

1. Build the Pipes. Make Them Unbreakable.

• Design and build reliable data pipelines from application systems

• Capture product events across:

• Buyer and admin actions such as course creation and learner management

• Engagement and content usage

• Payments, subscriptions, renewals, and churn

• Ensure automated, real-time or near real-time data flows

• Eliminate manual Excel workflows

If data breaks, you fix it before anyone notices.

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2. Design the Single Source of Truth

• Architect and manage our centralized data warehouse

• Structure data so it is clean, logical, and future-proof

• Define and standardize core SaaS metrics:

• Activation

• Retention

• Engagement

• Revenue

• Churn

• Ensure every team refers to the same numbers consistently

No metric ambiguity. No number conflicts.

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3. Make Data Reliable by Default

• Build validation checks and monitoring systems

• Detect anomalies automatically

• Fix root causes, not symptoms

• Improve data observability continuously

Your goal is zero trust issues in data.

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4. Enable High-Speed Teams

• Partner directly with Product, Marketing, Sales, Customer Success, and Leadership

• Translate business questions into structured, reusable datasets

• Reduce turnaround time for data requests

• Build reusable data layers for dashboards

Your work should reduce friction across the company.

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5. Think Beyond Reporting

• Help analyze the full buyer journey: Signup to Activation to Engagement to Revenue to Retention

• Enable cohort, funnel, and lifecycle analysis

• Support experimentation and growth initiatives

• Continuously improve our KPI framework

We do not want static dashboards.

We want decision velocity.

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What We Expect From You

• 2 to 4 years building data pipelines and working with production data

• Strong SQL skills with the ability to transform messy data into structured models

• Experience with data warehouses such as Snowflake, BigQuery, Redshift, or similar

• Experience building pipelines using custom scripts or tools such as Airflow or dbt

• Experience preparing datasets for BI tools such as Power BI, Zoho Analytics, or Tableau

• Strong understanding of SaaS metrics and product analytics

• High ownership mindset

• Comfort working in ambiguity

• Ability to explain data clearly to non-technical stakeholders

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Good to Have

• Experience with GA4 or event-based tracking systems

• Experience in SaaS, EdTech, or LMS products

• Familiarity with cohort, funnel, and lifecycle analysis

• Exposure to experimentation frameworks

• Understanding of modern data stack practices

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Who Will Thrive Here

• Someone who hates broken pipelines

• Someone who gets uncomfortable when metrics do not reconcile

• Someone who prefers fixing systems over answering one-off queries

• Someone who wants to build, not just maintain

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What Success Looks Like

• Data flows automatically and reliably

• Teams trust numbers without second-guessing

• Data request turnaround time drops significantly

• Leadership makes faster and sharper decisions

• Data becomes a competitive advantage, not a support function

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Why Join Learnyst?

• Exposure to understand market opportunities and contribute directly to the growth of company
• Opportunity to work with fastest growing EdTech startup
• Competitive compensation
• Consistent performers will get stock options
• Gain hands on experience in serving direct customers
• Learning 10X times more than what you know now
• We will provide a great work environment and challenging work that helps you take your career to the next level
• Food and Snacks: You’ll never have to worry about your hunger pangs. We provide food & snacks at all times of the day.

Interview Process

1. Walk-in interview on Saturday, 7th March 2026. Please note that all interview rounds will be complted within a single visit at company office.

At Learnyst, we are building for speed and scale.

If you want comfort, this is not the role.

If you want ownership, impact, and the chance to build the data foundation of a growing SaaS company, let’s talk.