What are the responsibilities and job description for the Google Cloud Platform Data Engineer - Onsite Role position at Pozent?
Role Overview
Senior Data Engineer with 10 years of experience in Google Cloud Platform and pharma domain. Responsible for building scalable data pipelines and supporting analytics, reporting, and ML use cases.
Key Responsibilities
- Build and maintain data pipelines using Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Storage).
- Develop and optimize ETL/ELT workflows.
- Collaborate with analytics and business teams to deliver reliable data.
- Design data models and ensure data quality and performance.
- Support reporting and ML workloads.
Required Skills & Qualifications
- 10 years in data engineering.
- Strong Google Cloud Platform experience (BigQuery, Dataflow, Pub/Sub, Composer).
- Advanced SQL and Python.
- Experience with pharma datasets (clinical, R&D, commercial).
- Strong ETL/ELT, data modeling, and orchestration knowledge.
- Experience with Git and CI/CD.
Preferred Qualifications
- Experience with Vertex AI or ML pipelines.
- Knowledge of CDISC, SDTM, or similar standards.
- Experience with Snowflake or Databricks.
Education
- Bachelor’s or Master’s in a related field.