As a Data Platform Engineer, you will assist with the data platform blueprint and design, collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. You will play a crucial role in the development and maintenance of the data platform components, contributing to the overall success of the project.

Responsibilities :

- Expected to be an SME, collaborate and manage the team to perform.

- Responsible for team decisions.

- Engage with multiple teams and contribute to key decisions.

- Provide solutions to problems for their immediate team and across multiple teams.

- Assist with the data platform blueprint and design.

- Collaborate with Integration Architects and Data Architects to ensure cohesive integration between systems and data models.

- Develop and maintain data platform components.

- Contribute to the overall success of the project.

Requirements :

- Proficiency in Databricks Unified Data Analytics Platform.

- Strong understanding of statistical analysis and machine learning algorithms.

- Experience with data visualization tools such as Tableau or Power BI.

- Hands-on implementation of various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.

- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity.