ph3Ready to build scalable cloud data platforms that power analytics and business intelligence?? /h3 pJoin our expert team to work on a bData Analytics /b project, contributing to the development of scalable cloud data platforms and modern data pipelines. You will apply your knowledge of bAWS /b, bSnowflake /b, bdbt /b, bApache Airflow /b, bPython /b, and bSQL /b to deliver reliable, high quality data solutions that support analytics initiatives. /p pAt ERNI, you are never just a number. Even if you work on an external project, you will feel part of the team and always supported. /p h3How do we make this happen? /h3 pWith people. Besides your team and manager, you will have several support figures like a godparent, who will help you with the practical and administrative aspects of daily life during your first 6 months. /p pAnd the second most important person after you, your mentor, who will guide you through your entire onboarding and career at ERNI. 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. /p pAt ERNI, we highly value experience and technical knowledge. As a senior profile, you will have the space to continue growing, whether by deepening your technical skills or having greater influence on project decisions, with autonomy and the opportunity to share knowledge with other experts. /p pAnd if you are interested in mentoring, there is also space for that: supporting other ERNIans while still focusing on the technical excellence that sets us apart.



/p h3What you will bring /h3 ul liStrong experience with Python and SQL. /li liHands on experience with AWS data services, Snowflake, dbt, and Apache Airflow. /li liKnowledge of data warehousing, data modeling, and cloud based architectures. /li liExperience working with Git and CI/CD practices. /li liExperience building and maintaining ETL/ELT pipelines. /li /ul pYou will be responsible for designing, developing, and maintaining scalable ETL and ELT pipelines using AWS services while building reliable workflows with Apache Airflow. You will optimize data models in Snowflake and dbt, implement data quality and monitoring practices, and collaborate with analysts and data teams to deliver trusted datasets for analytics and business intelligence. /p h3What if the project ends? /h3 pWe work on a wide variety of projects, technologies, and sectors, allowing you to keep growing in different environments. If a project ends or you feel ready for a new challenge, we will find another one that aligns with your professional development. /p pWe ask you to be available for key meetings. Need to leave for a doctor's appointment or to pick up your child from school? No problem. We trust you to deliver quality work within your 40-hour workweek. /p pOur model is hybrid: we usually go to the office 2 days a week, though this depends on the project and team, but we love seeing each other's faces; the best stories always happen in the office! /p pYou will also enjoy: /p h3And the salary? /h3 pWe will discuss it during the first call. If it is important to you, feel free to ask! /p /p #J-18808-Ljbffr

📌 Data Engineer - AWS & Snowflake - Pharma sector (Bellprat)
🏢 Erni Swiss Software Engineering
📍 Bellprat