# Snowflake Data Engineer - R01568220 at Brillio

Snowflake Data Engineer - R01568220 at Brillio in Bangalore, Karnataka, India and 1 more. Hybrid. Posted July 17, 2026.

- Company: Brillio
- Location: Bangalore, Karnataka, India and 1 more
- Workplace: Hybrid
- Posted: 2026-07-17
- Apply: https://jobs.lever.co/brillio-2/c5f8817d-bf3d-413c-8650-7779412cd495/apply
- Source: https://jobmagic.ai/jobs/snowflake-data-engineer-r01568220-brillio-65qd1p

## Requirements

- Design and develop scalable data pipelines and modern data architectures using Snowflake.
- Lead migration initiatives from legacy databases to Snowflake.
- Build and optimize ELT frameworks using DBT.
- Develop and orchestrate workflows using Apache Airflow.
- Design and implement data models, including Star Schema and Snowflake Schema.
- Develop ingestion pipelines for structured and semi-structured data.
- Create reusable frameworks for data validation, reconciliation, auditing, and monitoring.
- Optimize Snowflake objects, including:
- Virtual Warehouses
- Clustering Keys
- Materialized Views
- Streams & Tasks
- Dynamic Tables
- Develop technical design documents and migration runbooks.
- Perform code reviews and enforce engineering best practices.

## Description

As a Data Engineer at Brillio, you will be at the forefront of building robust, scalable data architectures that power complex business intelligence and AI initiatives. You will work closely with cross-functional teams, including AI/ML engineers and product stakeholders, to transform raw data into reliable, high-quality assets. Your day-to-day will involve architecting sophisticated data pipelines, implementing advanced modeling techniques, and ensuring the seamless flow of information across the enterprise, directly influencing the data-driven decision-making capabilities of our clients.

** **

### Primary Skills

- Snowflake, Airflow, DBT

- SQL

- Python/PySpark

- ETL

- CDC

### Specialization

- Snowflake 

- SnowPro

### Job requirements

**Key ResponsibilitiesProject Type: L3 SupportFlexibility to shift working is Mandatory.Development Responsibilities**

- Design and develop scalable data pipelines and modern data architectures using Snowflake.

- Lead migration initiatives from legacy databases to Snowflake.

- Build and optimize ELT frameworks using DBT.

- Develop and orchestrate workflows using Apache Airflow.

- Design and implement data models, including Star Schema and Snowflake Schema.

- Develop ingestion pipelines for structured and semi-structured data.

- Create reusable frameworks for data validation, reconciliation, auditing, and monitoring.

- Optimize Snowflake objects, including:

- Virtual Warehouses

- Clustering Keys

- Materialized Views

- Streams & Tasks

- Dynamic Tables

- Develop technical design documents and migration runbooks.

- Perform code reviews and enforce engineering best practices.

**Migration Responsibilities**

- Assess and migrate data from legacy platforms, including:

- Oracle

- SQL Server

- Teradata

- Netezza

- DB2

- SAP HANA

- On-Prem Data Warehouses

- Perform source system analysis and database rationalization.

- Design migration strategies, including:

- Full Data Loads

- Incremental Loads

- CDC (Change Data Capture)

- Historical Data Migration

- Conduct data reconciliation and validation during migration.

- Optimize transformed workloads for Snowflake architecture.

- Execute cutover planning and post-migration stabilization.

 

**Good to have:AMS / Production Support Responsibilities**

- Provide L3 support for Snowflake data platforms and pipelines.

- Monitor and manage production data workloads.

- Troubleshoot data failures, performance issues, and pipeline disruptions.

- Perform root cause analysis (RCA) and implement permanent fixes.

- Support incident, problem, change, and release management activities.

- Work closely with business users and stakeholders to resolve production issues.

- Ensure adherence to SLA and operational support commitments.

- Participate in production releases and deployment activities.