GCP Senior Data Modeller/Architect/GCP Data Analyst/SME

GCP Senior Data Modeller/Architect/GCP Data Analyst/SME

Posted Today by Project Recruit on JobServe

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Negotiable
Undetermined
Hybrid
City of London, UK
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Agile Methodology Apache Kafka BigQuery Cloud Computing Cloud Technology Data Ingestion Datamodel Data Modeling Data Warehousing Google Cloud Google Cloud Platform (GCP) Logical Data Models Mapping Software Python (Programming Language) Solution Design SQL (Programming Language)

Summary: The role of GCP Senior Data Modeller/Business Architect/GCP Data Analyst/SME involves working with a leading global IT services supplier to facilitate the migration and reimagining of on-prem applications and data models into Google Cloud Platform (GCP) data products. The position requires expertise in data modeling and analysis, with responsibilities split between creating data models and analyzing existing database jobs. This is a hybrid role based in London or Edinburgh, offering a temporary contract for six months. The ideal candidate will possess strong technical skills in GCP and data modeling techniques.

Key Responsibilities:

  • Drive and ensure that data modelling aspects of solution design meet the business requirements
  • Create conceptual data models and align to Enterprise Data Model
  • Create logical data models and schemas
  • Create physical data models and schemas that support performance and access requirements
  • Define the mappings between physical and logical data models
  • Help the designed Data Models take through the governance process
  • Register the GCP Data Products in Collibra
  • Back trace the Database or Data Warehouse jobs and prepare STTM (Source-To-Target Mapping) sheets
  • Identify the source and downstream systems corresponding to system in scope of migration/re-imagination
  • Identify the data ingestion and data consumption patterns and define the target state requirements
  • Help the Data Modeler in designing Enterprise Data Products

Key Skills:

  • Knowledge in ER Studio
  • Knowledge of Google Cloud Platform (including components such as GCS buckets, BigQuery, Kafka etc)
  • Knowledge of enterprise data modelling techniques such as de-normalised views, star schemas etc
  • Knowledge of Data de-normalization and normalization techniques
  • Knowledge in Advanced SQL, SSIS packages, Python and Shell Scripting
  • Should understand the Data Model terminology (Conceptual Data Model, Logical Data Model, Physical Data Model)
  • Experience in Agile Methodology
  • Client facing and team member skills

Salary (Rate): undetermined

City: London

Country: UK

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

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