Snowflake Data Engineer - R01568220

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

F lexibility 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.