In this role you will design, build, and optimize scalable data pipelines and cloud-based data platforms to support pharmaceutical data needs. You will collaborate with cross-functional teams and mentors to deliver high-quality, secure, and performant data solutions on AWS and related technologies. The position offers a strong growth culture with ongoing learning, mentoring, and hands-on experimentation. This opportunity lets you shape data-driven capabilities in a supportive, team-oriented environment.
Compensaciones / Ventajas
- certifications covered
- private health insurance
- full sick leave
- emotional, legal and family support
- gym discounts
- flexible remuneration
Responsabilidades
- Design, develop, and optimize scalable ETL pipelines on cloud platforms
- Ensure data quality, security, and performance across data flows
- Collaborate with cross-functional teams to translate business requirements into technical solutions
- Implement infrastructure as code and troubleshoot data-related issues
- Leverage tools like Databricks and Snowflake alongside AWS services
- Contribute to continuous improvements in data engineering practices
Requisitos principales
- Proven experience in data engineering with scalable ETL pipelines
- Proficiency in Python, Java, or Scala
- Familiarity with big data technologies such as Spark or Hadoop
- Hands-on experience with AWS data services (S3, Glue, Athena, Redshift)
- Knowledge of data quality, data integration, security and performance optimization
- Strong communication skills and fluent English
- Ability to translate business requirements into technical data solutions
- Experience with Databricks and Snowflake is a plus