Role Summary :

We are seeking a skilled Snowflake Developer with 5 to 10 years of experience in data engineering and cloud data warehousing.

The ideal candidate will have strong expertise in Snowflake, DBT (Data Build Tool), Python, and Advanced SQL.

The role involves designing, developing, and optimizing scalable data pipelines, data models, and analytics solutions to support business intelligence and data-driven decision-making initiatives.

Key Responsibilities :

- Design, develop, and maintain scalable data pipelines and transformation workflows using DBT and Snowflake.

- Build, optimize, and manage data models to support reporting, analytics, and business intelligence requirements.

- Develop reusable and maintainable DBT models, macros, tests, and documentation.

- Write and optimize complex SQL queries for large-scale data processing and analytics workloads.

- Implement data quality checks, validation rules, and monitoring processes to ensure data accuracy and consistency.

- Develop Python-based solutions for data integration, automation, and orchestration requirements.

- Collaborate with business stakeholders, analysts, and engineering teams to understand data requirements and deliver effective solutions.

- Perform performance tuning and optimization of Snowflake databases, queries, and workloads.

- Support data migration, data transformation, and modernization initiatives.

- Participate in code reviews, testing, deployment, and production support activities.

- Ensure adherence to data governance, security, and best-practice standards.

Required Skills & Experience :

- 5 to 10 years of experience in Data Engineering, Data Warehousing, or related fields.

- Strong hands-on experience with Snowflake Data Cloud.

- Extensive experience developing data transformation pipelines using DBT (Data Build Tool).

- Strong proficiency in Python for data processing, automation, and scripting.

- Advanced SQL expertise including complex queries, stored procedures, performance tuning, and query optimization.

- Experience designing dimensional data models and data warehouse solutions.

- Strong understanding of ETL/ELT concepts and modern data engineering practices.

- Experience working with large-scale datasets and cloud-based data platforms.

- Knowledge of data quality, data validation, and data governance principles.

- Strong analytical, troubleshooting, and problem-solving skills.

- Excellent communication and collaboration abilities.