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As a highly collaborative organization, our data engineers work cross-functionally with software engineering, data science, and product management to optimize growth, strategy, and experience for our 3 billion plus users, as well as our internal employee community.
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Experience with one or more of the following: data processing automation, data quality, data warehousing, data governance, business intelligence, data visualization, data privacy.
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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.
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Solve our most challenging data integration problems, utilizing optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources. Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.
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Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve.
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Experience managing and communicating data warehouse plans to internal clients. Beyond this, you will work with some of the brightest minds in the industry, and you'll have a unique opportunity to solve some of the most interesting data challenges with efficiency and integrity, at a scale few companies can match.
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5+ years experience in the data warehouse space. Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems.
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7+ years experience with schema design and dimensional data modeling. Influence product and cross-functional teams to identify data opportunities to drive impact. Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.
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4+ years of work experience in data engineering (a minimum of 2+ years with a Ph. D) Experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C.
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Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights visually in a meaningful way. Define and manage SLA for all data sets in allocated areas of ownership.
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Experience working with terabyte to petabyte scale data. Experience analyzing data to identify gaps and inconsistencies. Experience influencing product decisions with data. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
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Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process.
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Meta participates in the E-Verify program in certain locations, as required by law. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
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Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way. C#, Scala, etc.) Master's or Ph. D degree in a STEM field.
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5+ years experience in custom ETL design, implementation and maintenance. Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts. Mentor team members by giving/receiving actionable feedback.
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software engineering management data quality jobs Company: Meta
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