Data Engineer, Analytics
Description For Data Engineer, Analytics
Meta is seeking a Data Engineer, Analytics to design, model, and implement data warehousing activities that drive informed decision-making. The role involves creating sophisticated data models and visualizations, collaborating with cross-functional teams, managing SLAs, and solving challenging data integration problems. Key responsibilities include designing and implementing ETL processes, optimizing pipelines and dashboards, and influencing product teams to identify data opportunities. The ideal candidate should have a Master's degree in a relevant field and extensive experience in big data ecosystems, ETL design, object-oriented programming, and data analysis. This position offers a competitive salary range of $205,000 to $235,400 per year, plus bonus, equity, and benefits. Meta is committed to providing reasonable accommodations and equal employment opportunities.
Responsibilities For Data Engineer, Analytics
- Design, model, and implement data warehousing activities
- Create sophisticated data models and visualizations
- Collaborate with engineers, product managers, and data scientists
- Define and manage SLAs for data sets
- Create and contribute to frameworks for logging data
- Implement security models based on privacy requirements
- Solve challenging data integration problems
- Optimize pipelines, dashboards, frameworks, and systems
- Influence product and cross-functional teams to identify data opportunities
- Work on problems of diverse scope requiring evaluation of identifiable factors
Requirements For Data Engineer, Analytics
- Master's degree in Computer Science, Engineering, Management Information Systems, Mathematics, Statistics, Data Analytics, Applied Sciences, or a related field
- Three years of work experience in the job offered or in a computer-related occupation
- Experience with features, design, and use-case scenarios across a big data ecosystem
- Experience in custom ETL design, implementation, and maintenance
- Knowledge of object-oriented programming languages
- Experience in schema design and dimensional data modeling
- Proficiency in writing SQL statements
- Ability to analyze data to identify deliverables, gaps, and inconsistencies
- Experience in managing and communicating data warehouse plans to internal clients
- Knowledge of MapReduce or MPP system
- Proficiency in Python
Benefits For Data Engineer, Analytics
- 401k
- Equity
- Medical Insurance
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