Meta · 5 days ago
Data Engineer
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Comp. & Benefits
Insider Connection @Meta
Responsibilities
Partner with leadership, engineers, program managers, and data scientists to understand data needs
Act as a subject matter expert in a specific domain or class of data engineering challenges, leading by example and mentoring others.
Influence short- and long-term strategy with cross-functional teams to drive impact.
Apply proven expertise and build high-performance scalable data warehouses
Design, build, and launch efficient & reliable data pipelines to move and transform data (both large and small amounts)
Securely source external data from numerous partners
Intelligently design data models for optimal storage and retrieval
Deploy inclusive data quality checks to ensure high quality of data
Optimize existing pipelines and maintain all domain-related data pipelines
Ownership of the end-to-end data engineering component of the solution
Support on-call shift as needed to support the team
Design and develop new systems in partnership with software engineers to enable quick and easy consumption of data
Actively mentor and identify rising talent, and serve as a positive leader across the scope of the organization.
Qualification
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Required
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
7+ years of Python or other modern programming language development experience.
7+ years of SQL and relational databases experience
7+ years experience in custom ETL design, implementation and maintenance.
5+ years of experience with workflow management engines (i.e. Airflow, Luigi, Prefect, Dagster, digdag.io, Google Cloud Composer, AWS Step Functions, Azure Data Factory, UC4, Control-M).
5+ years experience with Data Modeling.
Experience working with cloud or on-prem Big Data/MPP analytics platform(i.e. Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar).
5+ years experience working with enterprise DE tools and experience learning in-house DE tools
Preferred
BS/MS in Computer Science or a related technical field
Experience with more than one coding language.
Designing and implementing real-time pipelines.
Experience with data quality and validation.
Experience with SQL performance tuning and e2e process optimization.
Experience with anomaly/outlier detection.
Experience with notebook-based Data Science workflow.
Experience with Airflow.
Experience querying massive datasets using Spark, Presto, Hive, Impala, etc.
Company
Meta
Meta builds technologies that help people connect, find communities, and grow businesses.
H1B Sponsorship
Meta has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (2750)
2022 (5507)
2021 (798)
Funding
Current Stage
Late StageRecent News
2024-05-14
Android Authority
2024-05-14
Company data provided by crunchbase