Can you imagine building scalable data solutions that help transform the pharmaceutical industry? ð§ Join our expert team to work on solutions in the Pharma sector, contributing to the development of scalable data pipelines and cloud-based data platforms. Se pueden requerir diversas habilidades interpersonales y experiencia para el siguiente puesto. Por favor, asegúrese de consultar la descripción a continuación con atención.
You will apply your knowledge of AWS, Python and data engineering to integrate, process and optimize data from different sources, ensuring data quality, security and performance. Even if you work on an external project, you will feel part of the team and always supported.
You will have regular 1:1 meetings with them, and recurrently, you will work on your development plan to define your short-, medium-, and long-term goals.
We strongly encourage growth and continuous training.
We aim for you to learn, experiment, and evolve within an environment where teamwork and support from more senior colleagues are key.
What you will bring ðProven experience in data engineering, including building and maintaining scalable ETL pipelines.
Proficiency in Python, Java or Scala, with familiarity with big data technologies such as Spark or Hadoop.
Hands-on experience with AWS data services such as S3, Glue, Athena and Redshift.
Knowledge of data quality, data integration, security and performance optimization.
Strong communication skills, fluent English and the ability to translate business requirements into technical data solutions.
You will be responsible for designing, developing, and optimizing scalable ETL pipelines and cloud-based data solutions using AWS technologies. You will ensure data quality, security, and performance while leveraging tools such as Databricks, Snowflake, and AWS services. You will also collaborate with cross-functional teams, implement infrastructure as code, troubleshoot data-related issues, and contribute to continuous improvements
📌 Data Engineer (España)
🏢 Erni
📍 España