Lead Data Engineer - R01571409

Brillio; Bengaluru; On-site; INR 3,000,000 - 4,500,000; Full time

Job summary

Brillio is seeking a Lead Data Engineer in Bengaluru to lead data engineering initiatives across Snowflake, dbt, and AWS cloud services. You will architect and optimize end-to-end data pipelines, implement medallion modeling, and ensure data governance compliance.

The role requires 8-10 years of hands-on experience with data platforms, strong SQL mastery, and proficiency in Python for automation. You will collaborate with analytics, BI, and engineering teams to deliver scalable data solutions

Qualifications

• Advanced SQL skills and performance tuning.
• dbt models, macros, and tests development.
• Snowflake data warehouse administration and time travel features.
• Strong ETL/ELT fundamentals and best practices.
• Python for data engineering and automation tasks.
• AWS services: S3, Lambda, IAM, CloudWatch, Secrets Manager.

Responsibilities

• Develop, maintain, and optimize dbt models, macros, and tests to support scalable ETL/ELT data pipelines.
• Administer and manage Snowflake data warehouses, including databases, schemas, roles, and security configurations.
• Optimize complex SQL queries and warehouse performance; reduce processing times and improve storage utilization.
• Manage and integrate AWS services such as S3, Lambda, Secret Manager, IAM, and CloudWatch for reliable data infrastructure.
• Implement and maintain CI/CD pipelines for automated deployment and release management of data solutions.
• Configure and monitor data quality checks, alerting systems, and performance monitoring.
• Troubleshoot and resolve production issues; perform root cause analysis to minimize downtime.
• Collaborate with analytics, BI, and engineering teams to deliver scalable data solutions.
• Medallion modeling: Bronze → Silver → Gold dbt layers for the domain.
• Governance alignment: work with Data Governance for certification and quality gates.
• Downstream support for dashboards and data products.
• Documentation: data lineage, model logic, and key decisions.

Skills

SQL

dbt models

Snowflake

Python

AWS

CI/CD

Data governance

Data quality

APIs

ETL/ELT

Education

Bachelor’s or Master’s in CS/IT

Job description

Lead Data Engineer

Job requirements

Experience Range: 8- 10 years of experience in data engineering, with hands-on expertise in Snowflake, dbt, and AWS cloud services Key Responsibilities:

• Develop, maintain, and optimize dbt models, macros, and tests to support scalable ETL/ELT data pipelines
• Administer and manage Snowflake data warehouses, including databases, schemas, roles, and security configurations to ensure robust data governance
• Optimize complex SQL queries and warehouse performance, reducing processing times and improving storage utilization
• Manage and integrate AWS services such as S3, Lambda, Secret Manager, IAM, and CloudWatch to build and maintain reliable cloud data infrastructure
• Implement and maintain CI/CD pipelines for automated deployment and release management of data solutions
• Configure and monitor data quality checks, alerting systems, and performance monitoring to ensure high data reliability and integrity
• Troubleshoot and resolve production issues, conducting thorough root cause analysis to minimize downtime and prevent recurrence
• Collaborate closely with analytics, business intelligence, and engineering teams to deliver high-impact, scalable data solutions aligned with business objectives
• Medallion modeling: Design, build, and maintain dbt models across Bronze → Silver → Gold layers for the assigned domain.
• Governance alignment: Partner with the Data Governance team so models meet certification and quality‑gate standards before promotion.
• Downstream support: Support data modeling for downstream analytics platform consumers (dashboards and data products)
• Troubleshooting & support: Diagnose and resolve pipeline issues; participate in on‑call/support rotation as needed.
• Documentation: Document data lineage, model logic, and key technical decisions so the work is maintainable by the internal team.
• Maintain and Develop APIs

Required Skills:

• Advanced proficiency in SQL (basic and advanced)
• Expertise in developing and managing dbt models, macros, and tests
• Hands‑on experience with Snowflake data warehousing, including Time Travel and Fail Safe features
• Strong understanding of ETL/ELT fundamentals and best practices
• Proficiency in Python for data engineering and automation tasks
• Administration of Snowflake warehouses, databases, schemas, and role‑based security
• Management of AWS services such as S3, Lambda, Secret Manager, IAM, and CloudWatch
• Implementation and maintenance of CI/CD pipelines for data deployments
• Configuration of monitoring, alerting, and data quality checks in cloud data platforms

Preferred Skills:

• Experience with modern data platform fundamentals and architecture
• Expertise in optimizing large‑scale data pipelines for performance and cost efficiency
• Familiarity with data governance and compliance best practices in cloud environments
• Knowledge of infrastructure‑as‑code tools for cloud resource management
• Exposure to advanced Snowflake features such as data sharing and secure data exchange

Desired Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field
• Relevant industry certifications in AWS, Snowflake, or dbt are highly desirable