Snowflake Developer

Company Overview:

Brillio Technologies is a global digital technology services and solutions company that enables businesses to thrive in a digital-first world. By leveraging deep expertise in data, analytics, and cloud engineering, Brillio helps enterprises across the retail, banking, and healthcare sectors modernize their operations and unlock actionable insights. With a focus on agile innovation and engineering excellence, the company operates at a significant scale, delivering high-impact digital transformation projects for Fortune 500 clients worldwide.

Role Overview:

As a Data Engineer at Brillio, you will be at the forefront of building robust, scalable data architectures that power complex business intelligence and AI initiatives. You will work closely with cross-functional teams, including AI/ML engineers and product stakeholders, to transform raw data into reliable, high-quality assets. Your day-to-day will involve architecting sophisticated data pipelines, implementing advanced modeling techniques, and ensuring the seamless flow of information across the enterprise, directly influencing the data-driven decision-making capabilities of our clients.

Key Responsibilities:

- Design and build scalable data pipelines for ingestion, transformation, and delivery across source and target systems to ensure high data availability for downstream consumers.

- Implement and maintain Data Vault 2.0 models, including Hubs, Links, Satellites, and PIT/Bridge tables on Snowflake to support complex analytical requirements.

- Author dbt models and Airflow DAGs for pipeline orchestration, scheduling, and dependency management to maintain efficient and reliable data workflows.

- Develop and enforce comprehensive data quality frameworks, including test cases, validation SQL, and monitoring, to ensure data integrity across the entire pipeline.

- Manage CI/CD for data pipeline deployments, maintaining rigorous code repository and version control standards to ensure stable and reproducible releases.

- Build and maintain metadata stores, data catalogs, and lineage tracking to provide transparency and governance across the data platform.

- Collaborate with AI/ML engineers to validate and productionise machine-generated code and pipeline artefacts, ensuring seamless integration between data engineering and data science workflows.

Required Skillset:

- Demonstrated expertise in designing and managing data architectures on Snowflake, with a deep understanding of Data Vault 2.0 methodologies.

- Proficiency in Python for data manipulation and automation, combined with hands-on experience in orchestrating complex workflows using Apache Airflow.

- Advanced skills in dbt for modular data transformation and building maintainable SQL-based data models.

- Ability to translate complex business requirements into technical specifications while communicating effectively with stakeholders and technical team members.

- Strong analytical mindset with a focus on building automated testing and monitoring frameworks to ensure high data reliability.

- Proven experience in managing CI/CD pipelines and version control systems to support agile development cycles.

- Minimum of 5 to 7 years of professional experience in data engineering roles, with a strong preference for candidates who thrive in collaborative, hybrid work environments in Bangalore or Pune.

Why Join

• Opportunity to architect highimpact solutions for global clients.
• Work at the most innovative, cutting-edge technology.
• Influence Data standards, architecture decisions, and analytics strategy.

Project Type – L3 Support

Shift – Rotational shift (including night)