Collinson Group
2 days ago
Description :
- Design, develop and maintain data pipelines for collecting, transforming and loading data into various data stores.
- Build and maintain data warehousing and data lake solutions.
- Develop and deploy data models that support various business requirements.
Responsibilities :
- Design, develop and maintain data pipelines for collecting, transforming and loading data into various data stores.
- Build and maintain data warehousing and data lake solutions.
- Develop and deploy data models that support various business requirements.
- Write efficient and scalable code in languages such as Python, Scala or Java.
Skills :
- Extensive experience leading AWS and cloud data platform transformations.
- Proven track record of delivering large-scale data and analytical solutions in a cloud environment.
- Hands-on experience with end-to-end data pipeline implementation on AWS, including data preparation, extraction, transformation & loading, normalization, aggregation, warehousing, data lakes, and data governance.
- Expertise in developing Data Warehouses.
Desired requirements :
- Strong knowledge of data architecture and data modelling practices.
- Cost-effective management of data pipelines.
- Familiarity with CI/CD driven data pipeline and infrastructure.
- Agile delivery approach using Scrum and Kanban methodologies.
Benefits :
- Ability to scope, estimate, and deliver committed work within deadlines, both independently and as part of an agile team.
- Supporting QA and user acceptance testing processes.
- Innovative problem-solving skills and ability to provide clear recommendations.
- Understanding of the impact of changes to business rules on data processes
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