Data Specialist
at Brillio 2
Chennai, Tamil Nadu, India, mid, 5–8 years
posted 12 Aug 2026
- Airflow
- Azure
- Fail Safe
- Power BI
- SnowSQL
- Tableau
- Snowpipe
- Looker
- ELT
- Data Exchange
- Zero Copy Cloning
- SQL
- Git
- GCP
- Snowflake
- DBT
- Data Sharing
- Data Modeling
- Data Warehousing
- Time Travel
- ETL
- AWS
- Python
About the role
We are seeking a skilled Data Engineer with strong expertise in Snowflake, DBT, SQL, and Python to design, develop, and maintain scalable data solutions. The ideal candidate will have hands-on experience building modern data pipelines, implementing data warehouse solutions, and enabling analytics through efficient data modeling and transformation practices.
What you would do
- Design, build, and maintain scalable ETL/ELT data pipelines using DBT, SQL, and Python.
- Develop and optimize Snowflake-based data warehouse solutions for enterprise analytics and reporting.
- Create robust data models and transformation frameworks to support business requirements.
- Implement data ingestion, cleansing, transformation, and validation processes.
- Develop and maintain stored procedures, views, and database objects within cloud data platforms.
- Optimize SQL queries, data models, and pipelines for performance and scalability.
- Work closely with business stakeholders, analysts, and engineering teams to translate requirements into technical solutions.
- Monitor data quality and troubleshoot data-related issues across platforms.
- Leverage Snowflake features such as Snowpipe, Time Travel, Zero Copy Cloning, and Fail Safe.
- Participate in code reviews, testing, deployment, and documentation activities.
- Support data governance, security, and best practices across the data ecosystem.
What they are looking for
- BigTable, Cloud Functions, Cloud Spanner, GKE
Specialization - GCP Data Engineer Advanced: Senior Data Engineer
Job requirements Job Title: Data Engineer – Snowflake, DBT, Python & SQL
5–8 Years
Snowflake
- Strong hands-on experience with Snowflake Data Warehouse.
- Experience with:
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