Position Summary
This role will be responsible for overseeing the development, implementation and maintenance of Datawarehousing systems and processes using ETL technologies and troubleshooting any potential issues
Job Responsibilities
Technical
- Advanced SQL and Python with strong coding and optimization skills
- Deep Snowflake expertise — data engineering, pipelines, performance tuning, and Cortex / AI capabilities
- Hands-on experience with Streamlit
- Knowledge of data modeling, modern data architectures, and exposure to agentic AI frameworks
Core Skills
- Structured problem-solving and analytical thinking with business context
- Domain understanding in pharma / life sciences
- Team leadership and mentoring capabilities
- Effective communication across technical and business stakeholders, with client-facing ownership of deliverables
Education
BE/B.Tech
Master of Computer Application
Work Experience
- Overall, 4-6 years of rich experience in the Pharmaceutical / Life Sciences Domain.
- Independently he/she should be able to create ETL design, implement, deliver complex ETL code for simple to complex Data Integration/ Data Warehousing project assignments.
- Should have expertise and working experience in at least 1 ETL tool like Snowflake, Databricks, Informatica, Matillion, IICS
- Should have expertise and working experience in at least 1 DBMS/appliances among Redshift, Netezza, SQL Server, Oracle, Snowflake, HIVE/Bigdata, AzureSQL
- Experience of working on AWS or Azure cloud
Behavioural Competencies
Ownership
Teamwork & Leadership
Cultural Fit
Motivation to Learn and Grow
Technical Competencies
Problem Solving
Lifescience Knowledge
Communication
Snowflake
PL/SQL
Python
