Strong experience in designing, developing, and deploying data pipelines and data products., Proficiency with AWS Data Platform services such as Glue and S3., Experience in translating business problems into data solutions, including BI, analytics, and machine learning., Knowledge of data modeling methodologies like Star Schema and Data Vault..
Key responsibilities:
Develop and maintain conceptual data models related to Financial Services.
Design and implement data schemas and logical models, including Lakehouse architectures.
Collaborate with stakeholders to define analytical questions and translate them into metrics.
Oversee the development of ETL/ELT pipelines ensuring data quality and governance.
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Ci&T
5001 - 10000
Employees
About Ci&T
We are your tech transformation specialists, combining human expertise with AI to create scalable solutions that help you Navigate Change.
With over 6,500 CI&Ters and partnerships with more than 1,000 clients, we have a 30-year history of transformation.