Data Engineer-Senior II-4

Responsible for designing and implementing data pipelines, ensuring data quality and accessibility, creating data models, managing ETL processes, optimizing databases, collaborating with stakeholders, utilizing big data tools, implementing real-time data processing, ensuring data governance and security, documenting data architecture, and delivering data-driven insights.

1. Design and implement data pipelines to collect, process, and store data efficiently.
2. Ensure data quality, integrity, and accessibility.
3. Create data models to support business analytics and reporting.
4. Work with data scientists, analysts, and other stakeholders to understand data needs, and design schemas.
5. Build and manage ETL (Extract, Transform, Load) processes for data integration and automate data ingestion and transformation tasks.
6.Administer and optimize databases (both SQL and NoSQL). Monitor database performance and troubleshoot issues.
7. Collaborate with s...