Senior Data Engineer with Google Cloud (GCP)

Purpose

The senior data engineer develops, constructs, tests and maintains architectures, such as databases and large-scale processing systems, and ensures that architecture fully supports requirements of the business. Plays a collaborative role where he/she works closely with the business’s Data and Analytics teams, gathering technical requirements for exceptional data governance.

Team description

To strengthen our team MusGKteers in Data value Stream B2B Analytics we are looking for a Data-Engineer.

Our mission is to implement a future-proof data warehouse (DWH) landscape within the One Data Ecosystem (ODE). To achieve this, we need to migrate the current architecture (ODW and ODL) to the Google Cloud Platform (GCP). In addition, new products and KPIs continuously generate additional requirements from the organization to ensure that our B2B data remains up to date. The scope of work is extensive, demanding, and highly exciting.

If you are interested in working in this future-oriented and agile environment, then you’ve come to the right place. 
You just need the following skills … but be assured: we ourselves are still in the learning phase for the new cloud environment.

So there is nothing you cannot learn as well.

WHAT WILL YOU DO?

• Analyses complex data elements and systems, data flow, dependencies, and relationships in order to contribute to conceptual physical and logical data models.
• Designs, builds, implementation and maintain the database structures to support business needs including integration of vendor database solutions into data environment.
• Contributes to the development of the capacity planning function to properly identify needed hardware, software, database configuration / architecture to support application / business needs.
• Manages the life cycle of multiple database tools by enabling smooth upgrades and/or installation and support of new capabilities.
• Data munging, manipulation, cleansing and blending from multiple data sources and exposure to various data types and storage paradigms including data mining.
• Works with data to solve business problems and build and maintain the infrastructure to answer questions with data.
• Develops and manages scalable data processing platforms used for exploratory data analysis and real-time analytics.
• Oversees activities of the junior data engineers, ensuring proper execution of their duties and alignment with business vision and objectives.