Google Cloud Senior Data Consultant

Posted Date:4 months ago
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Work location
Germany, NA
Rate
85 €/h; 85 €/h (remote)
Workload
Full time
Work type
Onsite
Experience
Start date:ASAP
Duration:4 months

Location

Skills

GOOGLE CLOUD BigQuery .Java Python

Languages

English (Native)

Languages

English (Native)

Skills

GOOGLE CLOUD BigQuery .Java Python

Job Description

1 FTE

Location: currently planned remote

Languages: English

Max. Stundensatz: 85,00 €

 

Project description

*** Senior Data Consultant - Retail Data Platform on Google Cloud ***

 

The Retail Data Platform (RDP) provides a constant collection of all Private Bank‘s relevant data in a central Data Core in the Google Cloud. The RDP will provide data warehouse like functionalities for operational and analytical use cases and ensure neartime Data provisioning for multiple Data consumers.

 The scope of the RDP project includes mainly the design and implementation of data load and transfer pipelines from multiple on-premise data sources to the RDP on Google Cloud including batch or stream based data load processes.

Another important part is the data modeling of this data to store in the RDP following the Data Vault 2.0 approach.

 

The main responsibility of this position is to help the Product Owner and the whole Scrum Team with technical analyses, Data Modeling and writing of Specifications, Epics and user stories in Confluence and Jira in the RDP project. Coordination with the multiple stakeholders from the Data Sources and the Data Consumers of the RDP is also part of this position.

 

In that regards experience in designing and describing such data load processes for batch/ file or for steam based data ingests on the Google Cloud platform is a key to successfull help the RDP team reaching their goals.

 

MUST HAVE Skills:

Experience in working as Data Consultant / Technical Requirements Engineer as part of an agile Development team.

More technical must have skills - see below

 

DESIRED Skills:

Expert in Google Cloud Platform (Area Data Engineering)

 

MUST HAVE TECHNICAL Skills

Google specific:

• BigQuery

• Google Dataflows

• Cloud Composer / Apache Airflow

• Google Cloud Storage

• Google PubSub

• Google Functions

• Cloud SDK (incl. gsutil, bq, …)

 

• Nice to have: Cloud Spanner, Cloud SQL

 

Programming Languages:

• Java and/or Python. (incl. development frameworks/tools like Maven, venv, pip, …),

* testing best practices

• SQL

• Linux Bash / Windows CMD

• YAML

 

IDEs:

• Idea IntelliJ and / or PyCharm or MS Visual Code

CI-CD and version control:

• Github (Actions)

• Git

 

IaaS

• Terraform (Enterprise)

• IaaS testing methods

 

Methods:

• Data Vault Modelling

• Test Driven Development

• Modern CI-CD driven development processes

• Agile mindset, working self-organized and in self-organized teams

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