01 Zakres zadań
- Designing and implementing scalable, production-grade data pipelines, data models, and data processing frameworks in cloud environments.
- Leading the technical design of cloud data architectures, contributing to standards, guidelines, and long-term platform strategy.
- Driving best practices in data engineering: quality assurance, lineage, observability, testing, automation, documentation.
- Optimizing data workflows for performance, cost efficiency, and reliability across distributed systems.
- Collaborating closely with clients and senior stakeholders to understand requirements, propose solutions, and communicate technical decisions.
- Working with CI/CD pipelines, infrastructure-as-code, and automation (DataOps) to streamline deployments and operations.
- Integrating data solutions with BI, ML, and application layers across diverse client environments.
- Mentoring mid-level engineers, supporting them in technical growth (without formal line management).
- Staying up-to-date with emerging technologies and proposing innovations to enhance platform capabilities.
