Job Summary

Turn scattered operational data into something the business can actually make decisions with. You will build the pipelines, models and warehouse layers that our analytics and client reporting sit on top of.

This is a build role. The foundations exist but there is a outstanding deal still to design, and you will have a real say in how it is done.

Responsibilities
Batch and streaming pipelines feeding a cloud data warehouse
Dimensional models and transformation logic, ideally in dbt
Data quality checks, lineage and the alerting that catches a broken feed before a client does
Working with analysts and product managers to understand what a number is supposed to mean

Requirements
Three or more years in data engineering or a strongly data-focused backend role
Advanced SQL, including window functions and query tuning




Python for pipeline work, and orchestration experience with Airflow or similar
Exposure to Snowflake, BigQuery or Redshift
Healthy scepticism about any dataset handed to you without documentation

Bring curiosity about the business, not only the tooling. The hard part of this job is rarely the code.

Skills
SQL
Python
Airflow
dbt
Snowflake
BigQuery
Spark
ETL
Data Modelling

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Data Engineer Bengaluru
🏢 Moonfire
📍 Bengaluru