Responsibilities
- Develop and manage scalable data infrastructure, workflows, and models that support the data platform.
- Construct and oversee enterprise-level data assets used for business intelligence and analytical needs across departments.
- Integrate essential tools, monitor data platform performance, and manage CI/CD pipelines to uphold technical standards.
- Find and execute opportunities to improve code efficiency and operational performance.
- Automate routine data tasks, pipeline oversight, and integration with external data sources.
- Apply industry-standard security practices to safeguard data systems from potential threats.
- Develop and sustain metadata frameworks, data tagging systems, and data lineage tracking.
- Deploy data quality checks and monitoring systems to ensure accuracy and consistency.
- Enhance data pipeline performance to support fast and reliable data transfer.
- Validate that ingested data is correct, complete, and in usable condition, identifying issues like missing entries or formatting inconsistencies.
- Assess data pipeline and database performance to detect and resolve processing bottlenecks.
- Confirm interoperability across data infrastructure components, ensuring seamless data movement from source to application.
Work Arrangement
Hybrid
