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Data Engineer, Analytics - Generative Ai

Company

Meta
Address , Remote
Employment type
Salary $165,000 - $232,000 a year
Expires 2023-06-18
Posted at 1 year ago
Job Description
Generative AI represents a huge opportunity to unleash the creativity of the billions of people globally who use our technologies. For years, teams at Meta have been leading the industry in AI research. We are uniquely positioned to adopt an end-to-end approach to generative AI that few organizations can offer, through building breakthrough product experiences using generative AI, generative AI research across all modalities, world-class applied AI/ML product engineering, scalable, high-performance AI infrastructure and deep experience building tools that enable social connection and expression.As a Data Engineer on the generative AI team at Meta, you can help bring the transformative potential of generative AI to people and businesses around the world as we build a new class of generative AI experiences. As we continue to expand and create, we have a lot of exciting work ahead of us!

Data Engineer, Analytics - Generative AI Responsibilities:

  • Define and manage SLA for all data sets in allocated areas of ownership.
  • Influence product and cross-functional teams to identify data opportunities to drive impact.
  • 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.
  • Solve our most challenging data integration problems, utilizing optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources.
  • Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.
  • Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve.
  • Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts.
  • Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights visually in a meaningful way.
  • Mentor team members by giving/receiving actionable feedback.
  • Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.
  • Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems.


Minimum Qualifications:

  • 7+ years experience with schema design and dimensional data modeling.
  • 5+ years experience in custom ETL design, implementation and maintenance.
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • Experience managing and communicating data warehouse plans to internal clients.
  • 5+ years experience with object-oriented programming languages.
  • 5+ years experience in the data warehouse space.
  • 7+ years experience in writing SQL statements.
  • Experience analyzing data to identify gaps and inconsistencies.


Preferred Qualifications:

  • Knowledge and practical application of Python.
  • Experience influencing product decisions with data.
  • Experience working with either a MapReduce or an MPP system.
  • Experience working autonomously in global teams.



Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. We may use your information to maintain the safety and security of Meta, its employees, and others as required or permitted by law. You may view Meta's Pay Transparency Policy, Equal Employment Opportunity is the Law notice, and Notice to Applicants for Employment and Employees by clicking on their corresponding links. Additionally, Meta participates in the E-Verify program in certain locations, as required by law