BR
BrillioData Specialist - R01569581
LocationChennai, Tamil Nadu, India
Work modehybrid
Typefull-time
SenioritySenior
Experience5–8 yrs
DepartmentAI & Data Engineering, AI & Data Engineering : Data Engineering
Company size5,001–10,000 people
PostedAug 12, 2026 · 2mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
5–8 years of experience in data engineering
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
Strong expertise in DBT (Data Build Tool)
Experience developing reusable transformation models in DBT
Understanding of DBT testing, documentation, and deployment practices
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
Strong Python programming skills for data processing and automation
Experience with data engineering frameworks and scripting in Python
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
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field
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
Snowflake SnowPro Certification
DBT Certification
AWS/Azure/GCP Data Engineering Certifications
Databricks or Cloud Data Platform Certifications
Skills
Snowflake
DBT
SQL
Python
Airflow
AWS
Azure
GCP
Power BI
Tableau
Looker
Snowpipe
Zero Copy Cloning
Time Travel
Fail Safe
SnowSQL
Data Sharing/Data Exchange
Git
CI/CD
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