Software Development Engineer

MindBridge • Payroll Services • Business Process Outsourcing (BPO) • Python • SQL • ETL/ELT • Dimensional Modeling • 2 months ago

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Salary

≈ $11k – $31k per year (Estimated)

Location

In office (Bengaluru)

Seniority

Junior · 1+ year exp

Employment

Full-Time

First seen by Alion on Aug 22, 2026.

Overview

Company

Impact

Profile match

MindBridge

MindBridge delivers global shared services, accounting outsourcing, payroll, compliance & finance consulting solutions for growing enterprises.

mindbridge.net.in • HQ: Bengaluru, India • Accounting & Tax Software • Business Process Outsourcing (BPO) • 11-50 employees

Tech stack of MindBridge

We are looking for a Data Engineer with at least 1 year of hands-on experience building solutions on Snowflake. The candidate should be comfortable designing, building, and managing reliable data pipelines that move data from multiple sources into a central data platform.

Responsibilities

Build and maintain data pipelines for ingesting, transforming, and loading data into Snowflake
Design scalable data models, schemas, tables, and views in Snowflake
Develop ETL/ELT workflows using SQL, Python, or data orchestration tools
Integrate data from APIs, databases, files, and third-party platforms
Monitor pipeline performance, failures, data quality, and freshness
Optimize Snowflake queries, warehouses, storage, and compute usage
Implement incremental loads, change data capture, and scheduled workflows
Work with engineering and business teams to understand data requirements
Maintain documentation for pipelines, datasets, and data transformations

Requirements

1+ year of hands-on experience working with Snowflake
Strong SQL skills and experience writing complex queries
Experience building and managing ETL or ELT data pipelines
Knowledge of data warehousing concepts, dimensional modelling, and data quality
Experience with Python or another scripting language
Familiarity with orchestration tools such as Airflow, Dagster, Prefect, dbt, or similar
Understanding of APIs, relational databases, file formats, and cloud storage
Ability to troubleshoot pipeline failures and performance issues
Strong analytical, problem-solving, and communication skills

Good to Have

Experience with dbt and Snowflake Tasks, Streams, Snowpipe, or Dynamic Tables
Knowledge of AWS, Azure, or Google Cloud
Experience with Kafka or other streaming platforms
Familiarity with CI/CD, Git, monitoring, and data governance practices
Experience integrating ERP, finance, or operational systems

Skills

Snow flake schema, snowflake, Data Warehouse (DWH), ETL, Data Pipeline, databricks, Python, SQL, Apache Airflow

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