# Data Specialist - R01569581 at Brillio

Data Specialist - R01569581 at Brillio in Chennai, Tamil Nadu, India. Hybrid. Posted August 12, 2026.

- Company: Brillio
- Location: Chennai, Tamil Nadu, India
- Workplace: Hybrid
- Experience: 5+ years
- Posted: 2026-08-12
- Apply: https://jobs.lever.co/brillio-2/aea4d164-85a0-4ead-9778-8bbeecaa2f2e/apply
- Source: https://jobmagic.ai/jobs/data-specialist-r01569581-brillio-9mfwqx

## Requirements

- 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.
- Strong hands-on experience with Snowflake Data Warehouse.
- Experience with:
- Snowpipe
- Zero Copy Cloning

## Description

**Lead Data Engineer**

### Primary Skills

- BigTable, Cloud Functions, Cloud Spanner, GKE

### Specialization

- GCP Data Engineer Advanced: Senior Data Engineer

### Job requirements

**Job Title: Data Engineer – Snowflake, DBT, Python & SQLExperience5–8 YearsLocation**

Bangalore / Hyderabad / Pune / Chennai / Gurgaon

**Job Summary**

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.

**Key Responsibilities**

- 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.

**Required SkillsSnowflake**

- Strong hands-on experience with **Snowflake Data Warehouse**.

- Experience with:

- Snowpipe

- Zero Copy Cloning

- Time Travel

- Fail Safe

- SnowSQL

- Data Sharing/Data Exchange

- Performance tuning and optimization of Snowflake workloads.

**DBT**

- Strong expertise in **DBT (Data Build Tool)**.

- Experience developing reusable transformation models.

- Understanding of DBT testing, documentation, and deployment practices.

**SQL**

- Advanced SQL skills with experience handling large-scale datasets.

- Expertise in query optimization, joins, analytical functions, and performance tuning.

- Experience with stored procedures and database development.

**Python**

- Strong Python programming skills for data processing and automation.

- Experience with data engineering frameworks and scripting.

**Data Engineering**

- Strong understanding of ETL/ELT concepts and modern data architectures.

- Experience in data warehousing and dimensional modeling.

- Knowledge of data governance, data quality, and metadata management.

**Preferred Skills**

- Experience with orchestration tools such as **Airflow**.

- Exposure to cloud platforms such as **AWS, Azure, or GCP**.

- Knowledge of CI/CD practices and Git-based version control.

- Experience with reporting and visualization tools such as **Power BI, Tableau, or Looker**.

- Exposure to AI/GenAI capabilities within data engineering solutions.

**Educational Qualifications**

- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.

**Preferred Certifications**

- Snowflake SnowPro Certification

- DBT Certification

- AWS/Azure/GCP Data Engineering Certifications

- Databricks or Cloud Data Platform Certifications

**Primary SkillsSnowflake, DBT, SQL, PythonSecondary SkillsData Modeling, ETL/ELT, Airflow, AWS/Azure/GCP, Power BI/Tableau, Data Warehousing**