Data Engineering Manager, Analytics
Description For Data Engineering Manager, Analytics
Meta is seeking a Data Engineering Manager for Analytics to drive the vision for BI and Data Warehousing across a product vertical. The role involves defining and executing plans to achieve operational excellence, building high-quality teams, managing data warehouse plans, and driving the design and launch of new data models and pipelines. Key responsibilities include managing the delivery of impactful dashboards, ensuring data quality, and defining SLAs for data sets and processes. The ideal candidate should have a Bachelor's degree in a relevant field and 24 months of experience in BI, Data Warehousing, team management, data architecture, and programming languages like SQL, Python, or Perl. This position offers an opportunity to shape the future of data analytics at one of the world's leading tech companies, working on cutting-edge technologies that impact billions of users globally.
Responsibilities For Data Engineering Manager, Analytics
- Drive the vision for BI and Data Warehousing across a product vertical
- Define processes for operational excellence in project management and system reliability
- Build and scale a high-quality BI and Data Warehousing team
- Develop cross-functional relationships to understand and deliver on data needs
- Manage data warehouse plans across a product vertical
- Design, build, and launch new data models and data pipelines in production
- Manage development of data resources and support new product launches
- Drive data quality across the product vertical and related business areas
- Manage the delivery of high impact dashboards and data visualizations
- Define and manage SLAs for all data sets and processes running in production
Requirements For Data Engineering Manager, Analytics
- Bachelor's degree in Computer Science, Engineering, Information Technology, Analytics, or related field
- 24 months of experience in BI and Data Warehousing
- Experience in scaling and managing Engineering teams
- Strong communication and leadership skills
- Experience in data architecture
- Proficiency in SQL or similar languages
- Development skills in Python or Perl
Benefits For Data Engineering Manager, Analytics
- 401k
- Equity
- Medical Insurance
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