Data engineer in pharma

NextLink Group; United States; A distancia; USD 72.000 - 82.000; Jornada completa

Descripción de la vacante

NextLink Group ищет опытного Senior Data Engineer для крупного проекта в области данных в фармацевтике. Вы будете работать с AWS, Snowflake, Python/PySpark и SnapLogic, проектируя и оптимизируя масштабируемые облачные решения для обеспечения качества и производительности данных.

Требуется более 5 лет опыта в Data Engineering, знание ETL/ELT, Git и CI/CD, а также владение английским языком. Преимуществом будет опыт в регуляторной
активности и сферах Pharmaceutical/Regulatory Affairs.

Formación

• 5+ лет в Data Engineering/Analytics Engineering с практическим опытом в продакшн.
• Экспертиза Python/PySpark и SQL, трансформации данных.
• Опыт AWS (S3, Lambda, Glue) и Snowflake.
• Умение работать с SnapLogic, Git, CI/CD, тестированием и мониторингом.
• Знание качества данных, управления метаданными и lineage.

Responsabilidades

• Проектирование и поддержка ETL/ELT пайплайнов на Python/PySpark и SQL.
• Разработка и оптимизация решений в AWS и Snowflake.
• Интеграционные workflows, включая SnapLogic.
• Обеспечение качества данных, управления данными и lineage.
• Внедрение Git, CI/CD, автоматического тестирования и мониторинга.

Conocimientos

Python/PySpark

SQL

AWS S3

AWS Lambda

AWS Glue

Snowflake

SnapLogic

Git

CI/CD

Automated testing

Production monitoring

Data quality

Metadata management

Data lineage

English

Regulatory Affairs

Pharma domain

Spanish

Herramientas

SnapLogic

Descripción del empleo

Описание:

NextLink Group is seeking an experienced Senior Data Engineer to support a major data engineering project for a leading global pharmaceutical client. Working across the Regulatory Affairs and Quality Medicine data domains, you will design, develop, and optimize scalable cloud-based data solutions, leveraging AWS, Snowflake, Python/PySpark, and SnapLogic to ensure reliable data integration, quality, and performance.

Задачи:

• Design, develop, and maintain scalable ETL/ELT pipelines using Python/PySpark and SQL.
• Build and optimize data solutions using AWS services (S3, Lambda, Glue) and Snowflake.
• Develop and support enterprise data integration workflows, including SnapLogic.
• Ensure data quality, governance, lineage, and metadata management.
• Implement coding best practices, Git, CI/CD, automated testing, and production monitoring.
• Troubleshoot and optimize cloud-based data pipelines while taking ownership of end-to-end delivery.

Требования:

• 5+ years in Data Engineering, Analytics Engineering, or similar roles, with hands‑on production experience.
• Strong expertise in Python/PySpark and SQL, including data transformation and optimization.
• Practical experience with AWS services, particularly S3, Lambda, and Glue.
• Hands‑on Snowflake experience covering data ingestion, modelling, warehousing, and performance optimization.
• Strong understanding of ETL/ELT, Git, CI/CD, automated testing, and production monitoring.
• Familiarity with data quality, metadata management, and data lineage.
• Fluent English with excellent communication skills.
• Будет плюсом: SnapLogic, Collibra, Spanish language skills, and previous experience in Pharmaceutical, Regulatory Affairs, or Quality Medicine domains

Условия:

Duration: 6-12 Months Payrate: €350-400 per day (All-inclusive)