Description

You will own the data engineering lifecycle for life science projects, focusing on ETL/ELT optimization and data modeling.

Responsibilities

• Develop and optimize ETL/ELT workflows using DBT and SQL.
• Design and implement scalable data models in Snowflake.
• Ensure data quality, integrity, and security across all platforms.
• Collaborate with analytics and BI teams to support reporting requirements.
• Participate in Agile Scrum ceremonies, sprint planning, and reviews.

Required Skills

• 8-10 years overall experience with 4-6 years in data engineering.
• Strong SQL programming and query optimization skills.
• Hands-on experience with Snowflake and DBT.
• Proficiency in Git version control and CI/CD pipelines.
• Deep understanding of data warehousing concepts and performance tuning.
• Working knowledge of Agile Scrum methodology.
• Mandatory experience in the life sciences industry.

Key Skills

Education

Any Graduate