Description
As a Data Engineer at Capgemini, you will be responsible for acquiring, curating, and publishing data both on-prem and in the cloud for analytical or operational uses. You will ensure the data is in a ready-to-use form that creates a single version of the truth across all data consumers.
Key responsibilities include:
- Consulting on data projects of intermediate complexity to understand design requirements and existing business processes
- Leading in the design, development, and implementation of data products
- Producing data building blocks, data models, and data flows for varying client requests
- Creating business user access methods to structured and unstructured data
- Utilizing techniques such as mapping data to a common data model, natural language processing, and transforming data as necessary to satisfy business rules
- Translating business data stories into a technical story breakdown structure and work estimates for a schedule or planned agile sprint
- Developing and maintaining moderately complex scalable data pipelines for both streaming and batch requirements
- Building out new API integrations to support increased demands of data volume and complexity
Requirements:
- SQL - Advanced
- DBT/ Informatica - Advanced
- Python/ PySpark - Intermediate
- Power BI - Intermediate
- Shell Scripting - Intermediate
- Snowflake - Intermediate (4-6 Years)
- DBT - Intermediate (4-6 Years)
- Power BI - Entry Level (1-3 Years)
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