Job Summary: The ideal candidate will have expertise in SQL data modelling, data pipelines and …. The role involves building and maintaining a real-time data flow supporting life science research at one of the Top 10 Pharma companies. Life science background is beneficial.
Key Responsibilities:
•    Develop and maintain SQL-based business logic
•    Design and implement life science use cases leveraging a data orchestration tool
•    Develop and implement monitoring tools for SQL data pipelines
•    Optimize SQL-performance and ensure data integrity
•    Design and Develop conceptual and logical data model
•    Contribute to testing strategy for data pipeline
•    Create documentation for infrastructure setup, configuration, and maintenance.
•    Collaborate with interdisciplinary product teams, help translate life science research requirements into implementation specifications

Qualifications:
•    Bachelor's or Master's degree in Engineering, or related field.
•    Background or experience in pharma or life science is beneficial
•    Proficiency in SQL
•    Basic knowledge of cloud services (e.g., AWS, Snowflake).

Skills & experience
•    At lest two years of experience in SQL data modelling and database management.
•    Experience with automated software testing.
•    Strong knowledge of data modeling tools and methodologies.
•    Experience with data warehousing and data integration processes.
•    Excellent problem-solving skills and a passion for learning.
•    Strong communication and teamwork skills.
•    Independent and proactive way of working