Data Specialist - R01569581

Brillio; Chennai District; Hybrid; INR 1,200,000 - 2,200,000; Full time

Job summary

Brillio is seeking a Lead Data Engineer to design and maintain scalable data pipelines and advanced data warehouse solutions using Snowflake, DBT, SQL, and Python. You will build robust data models, optimize transformations, and ensure data quality to enable analytic insights across business teams.

The role covers end‑to‑end data engineering, including ingestion, transformation, governance, and collaboration with analytics and engineering peers in multiple delivery centers across India,

Qualifications

• Proven experience with Snowflake Data Warehouse.
• Experience building DBT models and ETL/ELT pipelines.
• Strong SQL skills and Python programming.
• Hands-on data warehousing and analytics delivery.
• Familiarity with data governance and quality practices.

Responsibilities

• Design, build, and maintain scalable ETL/ELT data pipelines using DBT, SQL, and Python.
• Develop Snowflake-based data warehouse solutions for analytics and reporting.
• Create robust data models and transformation frameworks to meet business requirements.
• Implement data ingestion, cleansing, transformation, and validation processes.
• Monitor data quality and optimize performance across platforms.
• Collaborate with stakeholders to translate requirements into technical solutions.

Skills

Snowflake

DBT

SQL

Python

Airflow

Cloud platforms

Power BI/Tableau/Looker

Data Modeling

ETL/ELT

Education

Bachelor's degree in Computer Science/IT/Engineering

Tools

Snowpipe

Zero Copy Cloning

Time Travel

Fail Safe

SnowSQL

Data Sharing/Data Exchange

Job 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 & SQL

Experience

5–8 Years

Location

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 Skills

Snowflake

• 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 Skills

Snowflake, DBT, SQL, Python

Secondary Skills

Data Modeling, ETL/ELT, Airflow, AWS/Azure/GCP, Power BI/Tableau, Data Warehousing