Snowflake Data Engineer - R01568220

Location: Bangalore, Karnataka, India; Pune, Maharashtra, India
Department: AI & Data Engineering

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 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.