Snowflake Data Engineer
At Brillio · Bangalore, Karnataka, India; Pune, Maharashtra, India
- Data and ML
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Where you’ll work
Hybrid, based in Bengaluru or Pune
“Bangalore, Karnataka, India”
From the location.
“Pune, Maharashtra, India”
From the location.
The job board lists it as hybrid.
Hybrid means some days in the office. The listing says how many, and where.
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- Posted
- 17 July 2026
- First seen by us
- 3 November 2026
- Last checked
- 8 hours ago
Job description
From Brillio’s job post, as they wrote it.
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.
Read the full description
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.
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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.
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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.
Snowflake Data EngineerBrillio
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