Job Description - Snowflake Data Engineer (Healthcare / Life Sciences)
Position: Snowflake Data Engineer
Experience: 5-6 Years
Domain: Healthcare / Life Sciences
Joining: Immediate
Job Summary
Key Responsibilities
- Design, develop, and optimize data pipelines using Snowflake.
- Leverage Snowflake best practices, including query optimization and native Snowflake features.
- Build and maintain CI/CD pipelines and manage code through version control repositories.
- Perform data quality validation, anomaly detection, and create comprehensive test scenarios to ensure data integrity.
- Collaborate with country stakeholders for data discovery, issue analysis, and remediation.
- Support data integration, transformation, and reporting initiatives related to healthcare market sales and patient data.
- Participate in Agile ceremonies and contribute to sprint planning, development, and delivery.
- Work effectively in a matrix organization, collaborating with cross-functional and global teams.
Required Skills & Qualifications
- 5-6 years of experience in Data Engineering or a related role.
- Strong experience with Snowflake, including:
- Query and code optimization
- Performance tuning
- Knowledge of the latest Snowflake native capabilities and features
- Experience with CI/CD pipelines and source code management tools (e.g., Git, Azure DevOps, GitHub).
- Strong understanding of Data Quality, data validation, anomaly detection, and testing methodologies.
- Experience working with Healthcare/Life Sciences data, particularly market sales and patient data.
- Familiarity with Agile/Scrum methodologies.
- Excellent communication and stakeholder management skills.
- Ability to work independently and effectively in a global matrix organization.
Preferred Qualifications
- Experience working with global healthcare or pharmaceutical organizations.
- Strong analytical and problem-solving skills.
- Ability to manage multiple priorities in a fast-paced workplace.