About the Role
Role: Senior Data Platform Engineer.
Scope of Work and Responsibilities:
Design, build, and maintain scalable and secure data pipelines and data lake/warehouse architectures.
Optimize data workflows for performance and cost-efficiency in cloud environments (e.g., Azure)
Lead the adoption of modern data engineering tools and frameworks (e.g., Databricks, Azure Data Factory).
Monitor and troubleshoot data platform performance and reliability issues.
Collaborate with the product delivery team and business stakeholders to understand data requirements and deliver meaningful insights.
Participate in Agile development processes including Scrum and Kanban events.
Prepare high-level and detailed technical designs for data solutions.
Apply best practices in coding, testing, and deployment including CI/CD pipelines.
Stay updated with the latest trends in analytics engineering and suggest process improvements.
Perform other relevant tasks as assigned.
Requiremen...
Scope of Work and Responsibilities:
Design, build, and maintain scalable and secure data pipelines and data lake/warehouse architectures.
Optimize data workflows for performance and cost-efficiency in cloud environments (e.g., Azure)
Lead the adoption of modern data engineering tools and frameworks (e.g., Databricks, Azure Data Factory).
Monitor and troubleshoot data platform performance and reliability issues.
Collaborate with the product delivery team and business stakeholders to understand data requirements and deliver meaningful insights.
Participate in Agile development processes including Scrum and Kanban events.
Prepare high-level and detailed technical designs for data solutions.
Apply best practices in coding, testing, and deployment including CI/CD pipelines.
Stay updated with the latest trends in analytics engineering and suggest process improvements.
Perform other relevant tasks as assigned.
Requiremen...
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