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 optimizing pipelines, influencing product teams, and working on diverse scope problems. The ideal candidate should have a Master's degree in a relevant field and experience with ETL design, object-oriented programming, schema design, SQL, MapReduce or MPP systems, and Python. Meta offers a competitive salary range of $174,129 to $196,900 per year, plus bonus, equity, and benefits. The company 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 cross-functional teams to understand data needs
- Define and manage SLAs for data sets
- 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
Requirements For Data Engineer (Analytics)
- Master's degree in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Data Analytics, Applied Sciences, or a related field
- Experience with custom ETL design, implementation, and maintenance
- Knowledge of object-oriented programming languages
- Experience with schema design and dimensional data modeling
- Proficiency in writing SQL statements
- Experience with MapReduce or MPP system
- Python programming skills
Benefits For Data Engineer (Analytics)
- Bonus
- Equity
- Medical Insurance
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