Data Engineer, Analytics (Technical Leadership)

last updated October 2, 2024 1:20 UTC

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.
Apply info ->

To apply for this job, please visit www.metacareers.com

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