Time zones: EST (UTC -5) CST (UTC -6) MST (UTC -7) PST (UTC -8) AKST (UTC -9) HST (UTC -10) Data Engineer Analytics (Technical Leadership) Responsibilities
- Proactively drive the vision for data foundation and analytics to accelerate building and improvement of cross platform components across Instagram and define and execute on plan to achieve that vision.
- Conceptualize and own the data architecture for multiple large-scale projects while evaluating design and operational cost-benefit tradeoffs within systems.
- Create and contribute to frameworks that improve the efficacy of logging data while working with data infrastructure to triage issues and resolve.
- Build cross-functional relationships with Data Scientists Product Managers and Software Engineers to understand data needs and deliver on those needs.
- Define and manage SLA for all data sets in allocated areas of ownership.
- Determine and implement the security model based on privacy requirements confirm safeguards are followed address data quality issues and evolve governance processes within allocated areas of ownership.
- Design build and launch collections of sophisticated data models and visualizations that support use cases across different products or domains.
- Solve our most challenging data integrations problems utilizing optimal ETL patterns frameworks query techniques sourcing from structured and unstructured data sources.
- Assist in owning existing processes running in production optimizing complex code through advanced algorithmic concepts.
- Optimize pipelines dashboards frameworks and systems to facilitate easier development of data artifacts.
- Influence product and cross-functional teams to identify data opportunities to drive impact.
- Mentor team members by giving/receiving actionable feedback.
Minimum Qualifications
- Bachelor's degree in Computer Science Computer Engineering relevant technical field or equivalent practical experience.
- 10+ years experience in the data warehouse space.
- 10+ years experience in custom ETL design implementation and maintenance.
- 10+ years experience with object-oriented programming languages.
- 10+ years experience with schema design and dimensional data modeling.
- 10+ years experience in writing SQL statements.
- Experience analyzing data to identify deliverables gaps and inconsistencies.
- Experience managing and communicating data warehouse plans to internal clients.
Preferred Qualifications
- BS/BA in Technical Field Computer Science or Mathematics.
- Experience working with either a MapReduce or an MPP system.
- Knowledge and practical application of Python.
- Experience working autonomously in global teams.
- Experience influencing product decisions with data.