{"company":" 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

Positive 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 current tools and frameworks quick
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

📌 Intern Business Transformation Bengaluru (India)
🏢 ThoughtSpot
📍 India