Intern - Business Transformation

Thoughtspot; Bengaluru; On-site; INR 167,000 - 446,000; Part time

Benefits offered by this job

Competitive internship compensation

Job summary

Thoughtspot is seeking a motivated Data Engineering Integrations Intern to join our Data Analytics team in Bengaluru. You will work with experienced engineers on real-world data pipelines, system integrations, and analytics platforms, taking ownership from Day 1 and growing your technical capabilities.

You’ll collaborate across Finance, GTM, Product, IT, and HR to deliver analytics-ready datasets, with mentorship and opportunities to transition to a full-time role based on impact.

Qualifications

• Must have Python/Java/JS and SQL skills.
• REST API concepts and data integration basics required.
• Experience with APIs, data pipelines, and system integrations advantageous.
• Familiarity with cloud data platforms and iPaaS tools is a plus.

Responsibilities

• Build and maintain data pipelines and ETL/ELT workflows.
• Support end-to-end data integrations connecting applications, APIs, and data platforms.
• Design integration workflows using iPaaS tools and custom connectors.
• Contribute to data modeling and cloud data platform work.
• Debug pipelines and take ownership of issues and fixes.
• Collaborate with cross-functional teams to deliver analytics-ready datasets.

Skills

Python

Java

JavaScript

SQL

APIs

Data integration concepts

Tools

Snowflake

Databricks

Apache Airflow

Boomi

iPaaS

Dimensional Modeling

Job description

About the Role

We are looking for a motivated Data Engineering Integrations Intern to join our Data Analytics team. We dont expect you to arrive knowing everything - we expect you to arrive hungry to learn. Youll work alongside experienced engineers on real-world data pipelines, system integrations, and analytics platforms, with full ownership of your work from Day 1.

If you have a strong engineering foundation and the drive to build and deliver, well invest in your growth.

What Youll Do

• Build and maintain data pipelines and ETL/ELT workflows
• Support end-to-end data integrations connecting applications, APIs, and data platforms
• Design and implement integration workflows using iPaaS tools and custom connectors
• Contribute to data modeling and cloud data platform work
• Debug pipeline and integration failures and take ownership of resolution
• Collaborate with cross-functional teams (Finance, GTM, Product, IT,HR) to deliver analytics-ready datasets

Technical Requirements

Must Have:

• Programming - Python, Java, or JavaScript (at least one)
• SQL - querying, transformations, aggregations
• APIs - REST API concepts, request/response patterns, authentication basics
• Data Integration Concepts - pipelines, batch vs. streaming, data quality, system integrations

Good to Have:

• PySpark - distributed data processing
• Snowflake - cloud data warehouse
• Databricks - unified data AI platform
• Apache Airflow - workflow orchestration
• Boomi - iPaaS for building integration processes and connectors
• Dimensional Modeling - star/snowflake schema, facts dimensions
• iPaaS / Integration Patterns - middleware, event-driven architecture

What Were Really Looking For

Beyond technical skills, we care about who you are:

• Curiosity Learning Agility - Pick up new tools and frameworks fast
• Ownership Accountability - See tasks through, flag blockers early
• Builders Mindset - Get your hands dirty, build from scratch
• Team Player - Collaborate openly, communicate clearly
• Growth Orientation - Take feedback well, iterate fast

Our Culture

Were a fast-moving, high-ownership team. We value transparency, directness, and results. Youll have a dedicated mentor, exposure to real production systems from Day 1, and a clear path to a full-time data engineering or integrations role based on your impact.

We hire for attitude and train for skill.

Nice to Know

• Prior projects involving data pipelines, APIs, or system integrations are a bonus
• Competitive internship compensation with performance review milestones