Google Cloud Data Engineer

As a GCP data engineer you are responsible to deliver end-to-end data solutions, enabling your clients to make data-driven decisions based on your solution by collecting, transforming and publishing data.

You enjoy designing, developing, and maintaining robust data pipelines and data architectures on Google Cloud Platform (GCP).

By designing and implementing scalable data pipelines, ensuring efficient data flow and processing, you will optimize data storage, enable real-time analytics, and enhance data security. Leveraging GCP's advanced tools, you facilitate data-driven decision-making, improve operational efficiency, and support business growth through insightful analytics and streamlined data management.

Your expertise drives impactful data solutions.

• Design, develop, maintain and optimize data pipelines on GCP
• Build and manage data warehouses and data lakes using GCP services like Big Query, Cloud Storage, and Dataflow.
• Proficiency in GCP services such as Big Query, Cloud Dataflow, Cloud Pub/Sub, Cloud Storage, and Cloud Composer.
• Expertise in SQL and experience with relational and No
  
  SQL databases.
• Proficiency in programming languages such as Python, Spark, or Scala.
• Experience with ETL tools and frameworks.

• Strong proficiency with GCP services (Big Query, Dataflow, Pub/Sub, Composer, etc.)
• Expertise in SQL and database design.
• Programming experience with Python, Spark, or Scala.
• Experience building and maintaining data pipelines and data warehouses.
• Knowledge of ETL methodologies and tools.

• Work with cutting-edge technology in the field of data engineering
• Stay current with the latest developments and best practices on GCP
• Engage in continuous (peer) learning
• Participate on a tactical level within our company
• Enjoy an open and informal company culture
• Collaborate with talented colleagues

We are a team of about 50 people, all interested in data and analytics. Fun, informal and open communication define us. We value a collaborative culture and knowledge sharing.

Axel’s role as a Data Engineer covers gathering and analyzing business requirements, extracting, storing, cleaning, transforming, and modeling data. He also provides training and coaching sessions to ensure end users can fully utilize the data solutions.

Apply now:
Submit your application through the company website.

Agiliz needs the contact information you provide to us to contact you about our careers. You may unsubscribe from these communications at any time. For information on how to unsubscribe, as well as our privacy practices and commitment to protecting your privacy, check out our Privacy Policy .