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About the role
Position Summary This role will be responsible for overseeingthe development, implementation and maintenance ofDatawarehousing 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
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