BR
BrillioSnowflake Developer - R01568220
LocationBangalore, Karnataka, India
Work modehybrid
Typefull-time
SeniorityLead
DepartmentAI & Data Engineering, AI & Data Engineering : Data Engineering
Company size5,001–10,000 people
PostedJul 17, 2026 · 2mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
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
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, Historical Data Migration
Conduct data reconciliation and validation during migration
Optimize transformed workloads for Snowflake architecture
Execute cutover planning and post-migration stabilization
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
Flexibility to shift working is Mandatory
Skills
Snowflake
Airflow
DBT
Oracle
SQL Server
Teradata
Netezza
DB2
SAP HANA
Apache Airflow
Data Specialist
Primary Skills
•
Snowflake, Airflow, DBT
Specialization
•
Snowflake Lead Developer
Job requirements
Key Responsibilities
Project Type: L3 Support
Flexibility 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.