Meta Recruiting Data Engineer | New Opportunity for Graduates | Off Campus Drive 2023
Meta Company, previously known as Facebook, is a global technology conglomerate that has garnered immense attention and influence in the digital landscape. Founded by Mark Zuckerberg and his colleagues in 2004, Meta has revolutionized social networking and expanded its scope to encompass various technological domains.
At its core, Meta aims to connect people and build communities through its diverse range of platforms and services. Initially starting as a platform to connect friends and share personal updates, it has evolved into a multi-faceted company that owns and operates several prominent digital platforms, including Facebook, Instagram, WhatsApp, and Oculus.
Meta’s flagship platform, Facebook, has become one of the most widely used social networking sites worldwide, boasting billions of users. It offers a space for individuals to connect, share content, and engage in virtual communities. Facebook’s extensive reach and influence have transformed the way people communicate, disseminate information, and interact with each other.
In 2012, Meta acquired Instagram, a popular photo-sharing platform, and subsequently WhatsApp, a messaging application, in 2014. These acquisitions expanded Meta’s user base and allowed it to tap into different demographics and modes of communication. Instagram, known for its visual-centric approach, has become a hub for creative expression and influencer culture. WhatsApp, on the other hand, provides a secure and convenient messaging platform that enables private conversations and group communication.
it’s acquisition of Oculus in 2014 marked its entry into the realm of virtual reality (VR). Oculus develops and manufactures VR headsets, allowing users to immerse themselves in interactive digital environments. Meta envisions a future where VR and augmented reality (AR) technologies will transform how people connect, work, and experience the world.
Furthermore, Meta’s research and development initiatives explore cutting-edge technologies such as artificial intelligence (AI), machine learning, and natural language processing. These endeavors fuel Meta’s ambition to create more personalized and engaging user experiences, tailor content recommendations, and enhance the overall user interface.
As it continues to expand its global presence and diversify its offerings, it faces numerous challenges, including concerns over privacy, content moderation, and ethical considerations. The company has taken steps to address these issues, implementing policies and tools to mitigate potential risks and promote user safety.
In summary, Meta Company, formerly Facebook, has become a dominant force in the digital landscape, connecting billions of people through its social networking platforms and driving innovation in areas such as virtual reality and artificial intelligence. With its continued expansion and commitment to technological advancements, Meta is poised to shape the future of communication and digital experiences.
About Job Role
Meta Platforms, Inc., 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, WhatsApp, and Novi 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.
- 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 moderate scope where analysis of situations or data requires a review of a variety of factors
- Exercise judgment within defined procedures and practices to determine appropriate action
- In connection with these duties, may apply knowledge of the following: Features, design, and use-case scenarios across a big data ecosystem, Custom ETL design, implementation, and maintenance, Object-oriented programming languages, Schema design and dimensional data modeling, Writing SQL statements, Analyzing data to identify deliverables, gaps and inconsistencies, Managing and communicating data warehouse plans to internal clients, MapReduce or MPP system, and Python
- $190,120.00/year to $224,000.00/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: https://www.metacareers.com/facebook-life/benefits
- Requires a Bachelor’s degree in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Data Analytics, Applied Sciences, or a related field and two years of work experience in the job offered or in a computer-related occupation. Requires two years of experience in the following:
- Data ETL (Extract, Transform, Load) design, implementation, and maintenance on a large scale
- Programming in Python, Perl, Java, or PHP
- Writing SQL statements
- Analyzing large volumes of data to provide data driven insights, gaps, and inconsistencies
- Data warehousing architecture and plans
- Informatica, Talend, Pentaho, dimensional data modeling, or schema design
- MapReduce or MPP system
- Hadoop, HBase, or Hive
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