Snowflake Data Engineer – R01568220
- Category
- AI & Data Engineering
- Required Skills
- See official employer job description
- Experience
- Mid
- Openings
- 1
- Apply by
- November 30, 2026
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Check my fit & prepare →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
- 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 (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.
- 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.
Key Responsibilities
Project Type: L3 Support
Flexibility to shift working is Mandatory.
Development Responsibilities
Migration Responsibilities
Good to have:
AMS / Production Support Responsibilities
Candidate Skill Fit Analysis
Sign in to check profile matchRequired competencies and technical background for this position:
Estimated In-Hand Salary
New Tax Regime (AY 2026–27)Editable what-if calculation; when employer pay is not disclosed, the starting amount is an example, not a salary offer. Indicative estimate using standard assumptions for EPF, professional tax and Section 87A. Actual payroll, benefits and deductions vary by employer and individual.
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