GCP Data Engineer – Modern DWH & ETL

Cognizant

Greater London

On-site

GBP 70,000 - 90,000

Full time

5 days ago
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Job summary

Cognizant’s Intelligent Process Automation practice is seeking a Data Engineer to join a team delivering end-to-end data integration and analytics. You will develop scalable ETL solutions in GCP using Python and SQL, and contribute to DW architectures across cloud and on-premise environments.

The role involves collaborating with colleagues to translate business requirements into designs, applying best practices in data modelling, and embracing Agile delivery with CI/CD pipelines for automated

Qualifications

  • Experience developing ETL solutions in GCP with Python and SQL.
  • Experience with SQL Server including SSIS and T-SQL.
  • Exposure to data warehouse development practices, code/configuration management, and build processes.
  • Strong understanding of enterprise data warehouse architectures and data modelling concepts.
  • Ability to translate business requirements into end-to-end design and estimates with team collaboration.
  • Experience delivering in Agile environments with CI/CD pipelines for automated deployments.

Responsibilities

  • Develop ETL solutions in GCP including Python and SQL as well as SQL Server including SSIS and T-SQL.
  • DW development practices (code & configuration management, build processes).
  • Enterprise level data warehouse architectures, data modelling concepts, and ETL/ELT best practices.
  • Take business requirements and work with other team members to estimate and design end-to-end solutions.
  • Working in Agile delivery models with CI/CD pipelines for automated deployments across data platforms.

Skills

Data warehousing concepts
GCP
Python
SQL
CI/CD pipelines
Agile delivery
ETL/ELT

Tools

GCP
Python
SQL
SSIS
T-SQL
Power BI

Job description

Cognizant’s Intelligent Process Automation practice is seeking a Data Engineer to join a team delivering end-to-end data integration and analytics. You will develop scalable ETL solutions in GCP using Python and SQL, and contribute to DW architectures across cloud and on-premise environments.

The role involves collaborating with colleagues to translate business requirements into designs, applying best practices in data modelling, and embracing Agile delivery with CI/CD pipelines for automated

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