Sr. Data Engineer

About the role

As a new company with a long legacy of creating breakthrough solutions for our customers’ toughest challenges, we pioneer game-changing innovations at the intersection of health, material and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best.

What you'll do

• Design, build, and maintain robust ETL/ELT pipelines supporting large, complex datasets with evolving schemas
• Support embedding generation and vector-based data pipelines for AI and GenAI use cases
• Develop scalable batch and streaming data pipelines using cloud-based data platforms (e.g., Snowflake or Databricks)
• Create and evolve semantic data models that transform raw data into analytics-ready, trustworthy datasets
• Build data preprocessing, validation, and quality-assurance tooling to ensure reliability and correctness

What you need

• 10–18 yrs of experience
• Machine learning
• SQL
• ETL
• Python
• Pandas
• Databricks
• Diploma or B.Tech or B.E. or B.Sc or BCA

Good to have

• AWS
• Snowflake
• Azure Data Factory
• Spark
• NoSQL
• Data privacy