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

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

Skills:

📌 Project Leader (C)
🏢 Axtria
📍 C