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
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