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About the role
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 Skills
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