Data Engineer, GMS

Data Engineer, GMS

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.

Responsibilities

• Design and develop creative and innovative solutions to manipulate and transform data coming from diverse domains and components, such as advertisements and pages, as well as other custom software systems and databases.
• Design, architect, and develop data solutions that help product and business teams make data-driven decisions.
• Lead data solution design efforts from beginning to end, as well as processes for the development and implementation of data integration for external insights, and work on Data Warehouse and Operational Data Store.
• Provide insights that influence the overall strategy and plan for the framework and construction of a scalable data solution and data warehouse environment.
• Leverage a homegrown Extract, Transform, Load (ETL) framework as well as off-the-shelf ETL tools, as appropriate.
• Collaborate with data infrastructure and engineering teams to build and extend cross-platform ETL and reports generation frameworks.
• Provide consultation to business partners including analysts, managers, end users, and developers to clarify work objectives, determine project scope, obtain consensus, identify problems, and recommend solutions.
• Support end users on ad hoc data usage and serve as subject matter experts on functional matters.
• Develop ETL using Python, PHP, or similar technologies.
• Work with ETL techniques and best practices to manage extremely large volumes of data.
• Work with data warehousing architecture and data modeling best practices.
• Hadoop, HBase, and Hive
• File Systems, server architectures, and distributed systems
• and MicroStrategy or other similar Business Intelligence (BI) reporting solutions.
• Work with database programming and performance tuning techniques.

Minimum Qualifications

• Master's degree (or foreign degree equivalent) in Computer Science, Computer Engineering, Information Systems, Mathematics, or a related field and two years of work experience in the job offered or in an operations automation or computer-related occupation.
• Requires two years of experience in the following:
• 1. Data warehouse space, custom ETL design, implementation, and maintenance
• 2. DSQL and development experience in at least one language: Java, C++, Perl, PHP, or Python
• 3. Data architecture, data modeling, schema design, and software development
• 4. Leading data-driven projects from definition through interpretation and execution
• 5. Large data sets, Hadoop, and data visualization tools
• 6. Initiating and driving projects, and communicating data warehouse plans to internal clients/stakeholders

$218,284/year to $235,400/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Meta is proud to be an Equal Employment Opportunity 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.

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