Data Engineer - Bellevue, United States - META PLATFORMS, INC.(f/k/a Facebook, Inc.)

META PLATFORMS, INC.(f/k/a Facebook, Inc.) Bellevue, United States

6 days ago

Description

Employer:
META PLATFORMS, INC.(f/k/a Facebook, Inc.)

Job Title:
Data Engineer (Analytics)

Job Code:

REQ

Job Location:
Bellevue, Washington

Job Type:
Full-time, 9am 6pm, 40 hours a week, Monday Friday

Salary:
$171,116/year to $196,900/year + bonus + equity + benefits.

Individual pay is determined by skills, qualifications, experience, and location.

Compensation details listed in this posting reflect the base salary only, and do not include bonus or equity or sales incentives, if applicable.

In addition to base salary, Meta offers benefits.

Learn more about benefits at Meta at this link:

Duties:
Design, model, and implement data warehousing activities to deliver the data foundation that drives impact through informed decision making.

Design, build and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.

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.

Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve.

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 challenging data integration problems utilizing optimal ETL patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources.

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. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.

Requirements:

Requires Master's degree in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Data Analytics, Applied Sciences, or a related field and 12 months of experience in data engineering-related occupation.

Requires 12 months of experience in data engineering-related occupation.

Data ETL (Extract, Transform, Load) design, implementation, and maintenance on a large scale;
Python;
Writing SQL statements;
Analyzing large volumes of data to provide data-driven insights, gaps, and inconsistencies;
Data warehousing architecture and plans;
Dimensional data modeling;
Schema Design; and
PowerShell and Version Control.

To apply, please send resume to the following email address & include the job order number visible to you above in the subject line of the email.

It is important to include the job order number in the subject line of the email.

Also include the Ref code number:

REQ

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