- Design, model, or implement data warehousing activities in order to contribute to the design and development of Meta products.
- Manage and execute data warehouse plans for a productor a group of products to solve well-scoped problems.
- Identify the data needed for a business problem and implement logging required to ensure availability of data, while working with datainfrastructure to triage issues and resolve.
- Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights visually in ameaningful way.
- Build data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and operations for allocated areas of ownership.
- Design, build andlaunch new data models and visualizations in production, leveraging common development toolkits.
- Independently design, build and launch new data extraction, transformation and loadingprocesses in production, mentoring others around creating efficient queries.
- Support existing processes running in production and implement optimized solutions with limited guidance.
- Define and manage SLA for data sets in allocated areas of ownership.
- Work on problems of moderate scope where analysis of situations or data requires a review of a variety of factors.
- Exercise judgment within defined procedures and practices to determine appropriate action.
- Requires a Bachelor’s degree in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Analytics, or a related field. Position requires completion of a undergraduate-level course, research project, or internship, involving each of the following:
- 1. Custom ETL design, implementation, and maintenance
- 2. Object-oriented programming languages
- 3. Schema design and dimensional data modeling
- 4. Writing SQL statements
- 5. Analyzing data to identify deliverables, gaps and inconsistencies
- 6. Managing and communicating data warehouse plans
- 7. Python.
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