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 robust 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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