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