Data Engineer GCP

At T-Systems, you will find groundbreaking projects that contribute to social and ecological well-being. We want to welcome new talents like you, who bring fresh ideas, different perspectives, embrace challenges, and are committed to continuous learning in order to grow and make an impact on society... all in a fun way

It doesn't matter when or where you work. It's about doing meaningful work that advances society. For this reason, we will do everything possible to ensure that you have all the development opportunities by providing a support network, excellent technology, a new work environment, and the freedom to work autonomously. We support you in growing both personally and professionally so that you can make a notable impact on society.

T-Systems is a team of around 28,000 employees worldwide, making us one of the leading global providers of end-to-end integrated solutions. We develop hybrid cloud solutions, artificial intelligence, and drive the digital transformation of companies, industries, the public sector, and ultimately, society as a whole.

Job Description

Project Description :

We are looking for highly skilled Data Engineers to join our team in DBIZ. The Technik Value Stream teams are responsible for Data Ingest on ODE, development of the relevant data products on ODE, Operations of the data products on ODE

Activity description and concrete tasks :

• Infrastructure Deployment & Management : Efficiently deploy and manage infrastructure on Google Cloud Platform (GCP) including network architectures (Shared VPC, Hub-and-Spoke), security implementations (IAM, Secret Manager, firewalls, Identity-Aware Proxy), DNS configuration, VPN, and Load Balancing.
• Data Processing & Transformation : Utilize Hadoop cluster with Hive for querying data, and PySpark for data transformations. Implement job orchestration using Airflow.
• Core GCP Services Management : Work extensively with services like Google Kubernetes Engine (GKE), Cloud Run, BigQuery, Compute Engine, and Composer, all managed through Terraform.
• Application Implementation : Develop and implement Python applications for various GCP services.
• CI / CD Pipelines : Integrate and manage GitLab Magenta CI / CD pipelines for automating cloud deployment, testing, and configuration of diverse data pipelines.
• Security & Compliance : Implement comprehensive security measures, manage IAM policies, secrets using Secret Manager, and enforce identity-aware policies.
• Data Integration : Handle integration of data sources from CDI, Datendrehscheibe (FTP servers), TARDIS API´s and Google Cloud Storage (GCS).
• Multi-environment Deployment : Create and deploy workloads across Development (DEV), Testing (TEST), and Production (PROD) environments.
• AI Solutions : Implement AI solutions using Google's Vertex AI for building and deploying machine learning models.
• Certification Desired : Must be a certified GCP Cloud Architect or Data Engineer.

Qualifications

Skills Required :

Additional Information

What do we offer you?

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