Data Engineer (German-speaking)

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For our client from the telecommunications industry in Zurich , we are looking for a very experienced, motivated and open-minded Data Engineer - CMDB
Your tasks:


Design, develop, and maintain data pipelines and workflows using Apache Airflow for efficient data ingestion, transformation, and loading into the CMDB

Develop and optimize PL/SQL queries and stored procedures for data manipulation and retrieval within the CMDB environment

Utilize NoSQL databases for handling and processing large volumes of configuration data

Integrate data from various sources into the CMDB using MuleSoft and other integration platforms

Conduct data reconciliation activities to ensure data accuracy and consistency across multiple systems and sources

Develop and implement inventory data models based on the Common Information Model (CIM) to accurately represent IT assets and their relationships

Design and implement Extract, Transform, and Load (ETL) processes to populate and update the CMDB with accurate and up-to-date information

Collaborate with cross-functional teams to understand data requirements and ensure the CMDB meets business needs

Troubleshoot and resolve data-related issues, ensuring data integrity and availability

Document data processes, data models, and configurations to maintain knowledge and facilitate collaboration

Your profile:


Proven experience in data engineering and data modeling

Scripting languages such as Python, Perl and Others

Strong understanding of Service Asset and Configuration Management (SACM) principles and best practices using Systems such as Microfocus Asset Manager, Peregrine Asset Center or similar (not the ITSM part)

In-depth knowledge of the Common Information Model (CIM) from DMTF.org.

Proficiency in Apache Airflow for workflow orchestration and automation

Knowledge of Container Solutions such as iKube 2.0 (preferred), Kubernetes or others

Extensive experience with PL/SQL for database operations and data manipulation

Experience working with NoSQL databases (e.g., MongoDB)

Hands-on experience with MuleSoft or other integration platforms

Strong data reconciliation and data quality management skills

Expertise in inventory data modeling and implementation

Solid understanding of Extract, Transform, and Load (ETL) processes using different Tooling

Basic Anchor Modelling Skills

Excellent problem-solving and analytical skills and strong collaboration abilities

Fluency in English is mandatory, knowledge of German is an advantage

Proven experience in data engineering and data modeling

Scripting languages such as Python, Perl and Others

Strong understanding of Service Asset and Configuration Management (SACM) principles and best practices using Systems such as Microfocus Asset Manager, Peregrine Asset Center or similar (not the ITSM part)

In-depth knowledge of the Common Information Model (CIM) from DMTF.org.

Proficiency in Apache Airflow for workflow orchestration and automation

Building Web Frontends and Front- as well as Backend Loading Mechanism

Knowledge of Container Solutions such as iKube 2.0 (preferred), Kubernetes or others

Extensive experience with PL/SQL for database operations and data manipulation

Experience working with NoSQL databases (e.g., MongoDB)

Hands-on experience with MuleSoft or other integration platforms

Strong data reconciliation and data quality management skills

Expertise in inventory data modeling and implementation

Solid understanding of Extract, Transform, and Load (ETL) processes using different Tooling

Basic Anchor Modelling Skills