Descripción de la oferta
Job Description We are looking for a skilled Junior Data Engineer 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, and Operations of the data products on ODE.
Your Task
We are looking for a skilled Junior Data Engineer 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, and Operations of the data products on ODE.
Responsibilities
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.
Your Profile
We are looking for a skilled Junior Data Engineer with strong expertise in Google Cloud Platform infrastructure, data processing technologies, and automation tools to join our team in DBIZ.
Must Have Skills
Familiarity with Google Cloud Platform (GCP)
Familiarity with Terraform for infrastructure management
Python programming for application implementation
Familiarity with GitLab CI/CD for automation
Familiarity with network architectures and security implementations
Familiarity with management of core GCP services
Knowledge in employing data processing tools like Hive and PySpark
Knowledge in data orchestration tools like Airflow
Familiarity with managing and integrating diverse data sources
Nice to Have Skills
Certified GCP Cloud Architect
Certified GCP Data Engineer
Qualifications
Skills Required
Familiarity with GCP.
Familiarity with Terraform for infrastructure management.
Python for application implementation.
Familiarity with GitLab CI/CD for automation.
Familiarity with network architectures, security implementations, and management of core GCP services.
Knowledge in employing data processing tools like Hive, PySpark, and data orchestration tools like Airflow.
Familiarity with managing and integrating diverse data sources.
Certified GCP Cloud Architect and Data Engineer would be beneficial.
Additional Information
What do we offer you?
Work environment & flexibility
International, dynamic and collaborative environment.
T-Social: social initiatives (sports, community, health, ...).
Hybrid work model (remote/on-site).
Flexible working hours.
Growth & development
Customized training: access to Coursera to learn whatever you want, whenever you want.
Weekly language classes (English & German).
International Mentoring Sessions & Experience Days.
Compensation & benefits
Flexible compensation plan (health insurance, meal vouchers, childcare, transport).
Telemedicine.
Life and accident insurance.
Social fund.
Wellbeing & time off
26+ working days of vacation per year.
Free access to specialist services (medical, legal, wellness).
100% salary coverage during medical leave.
And many more advantages of being part of T-Systems!
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