Описание
Accountabilities
- Design, develop, test, deploy, and operate end-to-end data processing systems that meet enterprise performance, scalability, and reliability requirements.
- Build and optimize big data solutions using Apache Spark, Spark SQL, and related technologies across databases, streaming platforms, and data warehouses.
- Apply object-oriented design principles and sound software engineering practices to develop maintainable, efficient, and scalable applications.
- Build and maintain enterprise data platforms, including data ingestion pipelines, data lakes, ETL processes, and data warehouses.
- Design and implement efficient production deployments for data engineering projects using cloud-native services and best practices.
- Identify opportunities to improve data processing performance, system reliability, operational efficiency, and deployment workflows.
- Track project progress using lean, efficient processes, proactively identify delivery blockers, and collaborate with team members to resolve issues.
- Lead and mentor engineering teams, provide technical guidance, and promote high standards of coding, debugging, testing, and delivery.
- Work closely with clients and stakeholders to understand business requirements, communicate technical solutions clearly, and ensure successful project outcomes.
- Contribute to multi-cloud data engineering initiatives and help deliver solutions tailored to different cloud environments and business domains.
- Requirements: Strong ex
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