Meta isn’t just another tech company; it’s a global community of innovators, dreamers, and visionaries striving to make a difference in the world. Here are some compelling reasons to consider a career at Meta.
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In the ever-evolving landscape of technology and innovation, Meta, formerly known as Facebook, continues to lead the charge. As we step into 2024, the company’s vision extends far beyond social networking, encompassing the realms of virtual reality (VR), augmented reality (AR), artificial intelligence (AI), and beyond. With this expansive vision comes a myriad of opportunities for individuals looking to embark on a career journey within Meta.
Meta’s expansion into various tech domains has catalyzed substantial job growth, particularly in entry-level positions. Whether you’re passionate about software engineering, product management, design, or data analysis, Meta offers a diverse array of entry-level roles to kickstart your career.
Meta Careers Interview Opportunities for Entry Level Graduate in 2024
Hiring For Software Engineer
Qualifications: Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field
Job Responsibilities:
Develop a strong understanding of relevant product area, codebase, and/or systems
Demonstrate proficiency in data analysis, programming and software engineering
Produce high quality code with good test coverage, using modern abstractions and frameworks
Work independently, use available resources to get unblocked, and complete tasks on-schedule by exercising strong judgement and problem solving skills
Actively seek and give feedback in alignment with Meta’s Performance Philosophy Preferred qualifications
Qualifications: Master’s degree in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Data Analytics, Applied Sciences, or a related field and requires completion of a graduate-level course
Job Responsibilities:
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.
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