Data Engineer

4 weeks ago

Bengaluru Karnataka India, Karnataka Mastek Full time

Job Description: Snowflake Data Engineer – Pharma Domain


Overview

We are seeking a highly skilled Snowflake Data Engineer with hands-on experience in pharmaceutical commercial data environments. The ideal candidate will design, build, and optimize cloud-based data pipelines and warehouses in Snowflake, enabling analytics, reporting, and compliance across pharma sales, marketing, and commercial operations. This role requires a mix of strong data engineering expertise, SQL programming, and domain knowledge of pharma datasets (HCP, HCO, sales, claims, prescription, etc.).


Key Responsibilities


  • Snowflake Development & Optimization
  • Design, build, and maintain Snowflake-based data warehouses to support commercial operations, sales, and marketing analytics.
  • Develop and optimize ETL/ELT pipelines using Snowflake features (Snowpipe, Streams, Tasks, Time Travel, Cloning, etc.).
  • Implement data modeling (3NF, Star, Snowflake schemas) for scalability and performance.
  • Optimize query performance, warehouse sizing, and cost management.
  • Pharma Data Engineering
  • Ingest, transform, and curate pharma datasets such as HCP/HCO master data, prescription/claims data, sales data, alignment/territory data, and patient data.
  • Integrate data from external vendors (IQVIA, Symphony, Veeva, Definitive HC, etc.).
  • Ensure compliance with HIPAA, GDPR, and Sunshine Act requirements in data handling.
  • Integration & Enablement


Qualifications


  • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field.
  • 5+ years of data engineering experience with at least 2+ years in Snowflake (cloud warehouse).
  • Strong SQL programming and performance tuning skills.
  • Hands-on experience with ETL/ELT tools (DBT, Informatica, Talend, Matillion, Fivetran, etc.).
  • Knowledge of pharma commercial data including HCP/HCO, sales, claims, prescription, and patient datasets.
  • Experience with cloud platforms (AWS, Azure, or GCP).
  • Strong understanding of data security and compliance regulations in pharma/life sciences.

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