Data Engineer(GCP)

Cognizant; Greater London; On-site; GBP 70,000 - 90,000; Full time

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

Excellent opportunity for Data Engineer to be part Cognizant’s Intelligent Process Automation practice, It combines advisory services with deep vendor partnerships and integrated solutions to create and execute strategic roadmaps.

Key responsibilities :

• Developing ETL solutions in GCP including Python and SQL as well as SQL Server including SSIS & 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.

Technical Skills:

• Development background with exposure to Data Warehousing at scale on both cloud and on-premise
• Experience developing ETL solutions in GCP including Python and SQL as well as SQL Server including SSIS & T-SQL
• Exposure to DW development practices (code & configuration management, build processes)
• Strong understanding of enterprise level data warehouse architectures, data modelling concepts, and ETL/ELT best practices
• Ability to take business requirements and work with other team members to estimate and design end-to-end solutions
• Experience working in Agile delivery models with CI/CD pipelines for automated deployments across data platforms.

Nice to haves:

• Insurance industry experience
• Exposure to BI reporting toolsets – ideally Power BI
• Demonstrable experience in mentoring or supporting the development of junior team members
• Capability to architect highly scalable distributed systems, using different tools