We are looking for an experienced Senior Data Engineer with a strong background in Snowflake and cloud-based data integration.

The ideal candidate will have hands-on experience in designing and building scalable data solutions, managing data pipelines, and performing administrative tasks within Snowflake environments.

Key Responsibilities :

- Design, develop, and maintain scalable ETL/ELT pipelines and data integration solutions using Snowflake.

- Lead data migration initiatives from legacy systems to Snowflake, ensuring data accuracy, performance, and reliability.

- Apply deep understanding of data warehousing concepts, best practices, and architecture design.

Perform Snowflake administrative tasks, including :

- Data security and access governance

- Performance optimization

- Role-based access control

- CI/CD pipeline implementation

- Collaborate with cross-functional teams to define data requirements and implement reliable, efficient solutions.

- Write efficient, well-structured, and reusable code using Python for data processing and automation tasks.

- Leverage SQL expertise for data analysis, transformation, and validation.

- Work with version control systems like GitHub or GitLab to manage codebase and deployment workflows.

- Utilize AWS services (e.g., Lambda, S3, etc.) to support data solutions in a cloud-native environment.

- Communicate effectively with stakeholders and team members across different geographies.

Required Qualifications :

- 10+ years of total IT experience, with a strong focus on data engineering and cloud platforms.

- 5+ years of hands-on experience with Snowflake, including end-to-end data migration and data pipeline development.

- At least 2 years of experience in Snowflake administration, including security, performance tuning, and governance.

- 3+ years of programming experience in Python, particularly in data engineering contexts.

- Strong SQL proficiency, with experience in writing complex queries and optimizing performance.

- Familiarity with version control tools such as GitHub or GitLab.

- Working knowledge of AWS cloud services, especially Lambda, S3, and related data tools.

- Excellent communication and interpersonal skills