PharmSight Research and Analytics

!! Experience in Pharma/Healthcare is mandatory for this role - Immediate joiners preferred !!

 

About PharmSight

PharmSight is a rapidly growing strategic consulting firm dedicated to advancing bio-pharmaceutical innovation. We deliver bespoke solutions that address critical business challenges, with a focus on competitive intelligence, forecasting, launch strategy, and marketing analytics. As we continue to expand our advanced analytics and data engineering capabilities, we are seeking a Data Engineer (4–8 years) to support the development of next-generation commercial data platforms for global pharma clients.

 

Why join PharmSight?

* Competitive Compensation: Best-in-class salary with structured career progression
* Flexible Work Environment: Option to work from anywhere, at any time
* Global Client Exposure: Collaborate with leading pharmaceutical companies on impactful projects
* Career Growth & Recognition: A flat hierarchy with ample opportunities for leadership and professional development

 

Role Overview

As a Data Engineer, you will play a key role in building scalable commercial data and analytics platforms that streamline operations and enable advanced analytics and AI use cases. This role is suited for hands-on engineers who thrive in high-ownership environments and enjoy designing modern, cloud-native data solutions.

 

Key Responsibilities

* Build Scalable Data Platforms: Design and develop high-performance ELT pipelines ingesting CRM, sales, claims, and commercial datasets into modern cloud data warehouses
* Architect Analytics-Ready Models: Develop dimensional models (star/snowflake schemas) to support KPI frameworks and advanced analytics use cases
* Drive Cloud-Native Engineering: Build and optimize data platforms on AWS/Azure/GCP using tools such as Snowflake (should be experienced in dbt Orchestration Components, Tasks, Snowpark, Cortex AI, Intelligence, Fivetran / CDC tools), Redshift, BigQuery, Spark, Airflow.
* Ensure Data Reliability: Implement automated testing, monitoring, and data quality frameworks to enable trusted analytics at scale
* Optimize for Performance & Scale: Tune queries, optimize compute costs, data warehouse performance using clustering, query tuning and design scalable workflows to support high-volume commercial datasets
* Design and Automate: Develop End-to-end ELT pipelines orchestration frameworks, ensuring data quality, idempotency, and fault tolerance across workflows.

 

Requirements

* Experience: 4–8 years of experience in Data Engineering or Analytics
* Programming & Querying: Strong Python skills and advanced SQL proficiency
* Data Engineering Stack: Hands-on experience with Spark, Airflow, dbt (preferred), Snowflake (mandatory) and Databricks (good to have)
* Cloud Platforms: Experience building and managing data pipelines on AWS, Azure, or GCP
* Engineering Practices: Familiarity with CI/CD pipelines, Docker, and Git-based workflows
* Build and deploy Snowflake Cortex Intelligence applications using Snowflake Notebooks, Streamlit in Snowflake, and Snowpark Python for interactive analytics and model inference
* Data Modeling: Understanding of dimensional modeling and data modeling best practices
* Domain Exposure: Experience working with structured and semi-structured datasets in the Pharma or Healthcare domain

 

Join Us

Join PharmSight and contribute to building modern commercial data platforms that power advanced analytics and AI-driven decision-making for global pharma organizations. If you are a hands-on engineer passionate about scalable data solutions and real-world impact, we’d love to hear from you. Interested?

 

Apply now and our team will get back to you soon!

Data

Data analytics

Amazon

Python

Azure

Support

Apache Spark

Project management

Cloud

Testing

Data Engineering

Docker

Data warehouse

Data modeling

Continuous Integration

Automation

Innovation

Operations

Forecasting

Marketing strategies

Marketing campaign

Growth

Data Pipelines

SkySpark

Airflow

Snowflake

Databricks

Google Cloud Platform

Amazon Redshift

Google BigQuery

Streamlit

CI/CD

Data Engineer