---
title: "Lead Data Engineer - R01571409"
company: "Brillio"
company_url: "https://www.remjobs.works/companies/brillio"
url: "https://www.remjobs.works/job/brillio-lead-data-engineer-r01571409-0bb252a5-9042-4434-855d-bd34c8db0c25"
apply_url: "https://jobs.lever.co/brillio-2/74b72ad5-8232-4530-a543-eaa8a26818a5"
workplace: onsite
location: "Bangalore, Karnataka, India"
employment_type: full-time
seniority: lead
role: data
region: india
skills: ["aws", "dbt", "python", "snowflake", "sql"]
date_posted: 2026-09-22T09:39:57.087Z
first_seen_by_remjobs: 2026-09-22T09:46:53.381Z
---

# Lead Data Engineer - R01571409

**Brillio** · Bangalore, Karnataka, India

Apply: https://jobs.lever.co/brillio-2/74b72ad5-8232-4530-a543-eaa8a26818a5

## About the role

$2

##### 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

---

Source: Brillio's own career page, read by RemJobs. Canonical HTML version: https://www.remjobs.works/job/brillio-lead-data-engineer-r01571409-0bb252a5-9042-4434-855d-bd34c8db0c25
