[Overview]
Looking for an Azure Data Engineer to be a part of one of Capgemini's life insurance customers.
[Designation]
Consultant
[Job Description]
1 Assure that data is cleansed, mapped, transformed, and otherwise optimized for storage and use according to business and technical requirements
2 Develop and maintain innovative Azure solutions
3 Solution design using Microsoft Azure services and other tools
4 The ability to automate tasks and deploy production standard code (with unit testing, continuous integration, versioning etc.)
5 Load transformed data into storage and reporting structures in destinations including data warehouse, high speed indexes, real-time reporting systems and analytics applications
6 Build data pipelines to collectively bring together data
[Required work experience and Skills]
1 Experience as an Azure Data Engineer.
2 Strong analytic skills related to working with unstructured and structured datasets
3 Ability to test the data from source to the presentation layer
4 The ability to design and implement well written code
5 Ability to support/troubleshoot data pipelines
6 Confident and concise communication skills, with the ability to drive alignment, collaboration, and efficiency within teams
[Skill Set]
Azure Data Tech Stack, ADP, Cosmos, RDBMS
[Work style]
Hybrid (work in the office 2-3 times a week *project-based)
