Senior Data Analyst - Snowflake & Cloud DW (Hybrid)

Capgemini

Greater London

Híbrido

GBP 60.000 - 90.000

Jornada completa

Hace 3 días
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Descripción de la vacante

Capgemini in London is seeking a Sr Data Analyst to design, develop and optimize data warehouse solutions using Snowflake. You will build and enhance ETL/ELT pipelines, implement star and snowflake schemas, and integrate Snowflake with leading ETL tools across a multi-cloud environment.

You will partner with architects, analytics teams and stakeholders to deliver scalable data platforms, ensure data security and governance, and drive automation with Python, SQL and CI/CD practices.

Formación

  • Hands-on Snowflake data warehouse experience.
  • Strong SQL/database concepts.
  • ETL/ELT development experience.
  • Knowledge of Snowflake Tasks/Streams/Time Travel.
  • Experience with cloud platforms (AWS/Azure/GCP).
  • Familiarity with Python/Shell/Java for automation.
  • Git and CI/CD knowledge.

Responsabilidades

  • Design, develop and maintain data warehouse solutions using Snowflake.
  • Develop and optimize ETL/ELT pipelines for data ingestion and transformation.
  • Create and manage Snowflake databases, schemas, tables, views, tasks and streams.
  • Implement data modelling techniques including Star and Snowflake schemas.
  • Optimize queries, warehouse performance and storage utilization.
  • Integrate Snowflake with ETL tools (Informatica, Matillion, Talend, DBT, Azure Data Factory).
  • Develop data quality validation and monitoring processes.
  • Ensure data security, governance and compliance using Snowflake features.
  • Collaborate with business stakeholders, architects and analytics teams to deliver data solutions.

Conocimientos

Snowflake
SQL
ETL/ELT
Data modelling
Python
Shell scripting
Java
Git
CI/CD
Cloud platforms
Data warehousing

Herramientas

Informatica
Matillion
Talend
DBT
Azure Data Factory

Descripción del empleo

Capgemini in London is seeking a Sr Data Analyst to design, develop and optimize data warehouse solutions using Snowflake. You will build and enhance ETL/ELT pipelines, implement star and snowflake schemas, and integrate Snowflake with leading ETL tools across a multi-cloud environment.

You will partner with architects, analytics teams and stakeholders to deliver scalable data platforms, ensure data security and governance, and drive automation with Python, SQL and CI/CD practices.

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