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Urgent! Data Engineer, Analytics Job Opening In Trenton – Now Hiring Meta
**Summary:**
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.
To apply, click “Apply to Job” online on this web page.
**Required Skills:**
Data Engineer, Analytics Responsibilities:
1.
Design, model, and implement data warehousing activities to deliver the data foundation that drives impact through informed decision making.
2.
Design, build and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.
3.
Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights visually in a meaningful way.
4.
Define and manage SLA for all data sets in allocated areas of ownership.
5.
Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve.
6.
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.
7.
Solve challenging data integration problems utilizing optimal ETL patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources.
8.
Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.
9.
Influence product and cross-functional teams to identify data opportunities to drive impact.
10.
Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
11.
Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
12.
Project management leveraging Agile or Kanban methodologies.
13.
Create detailed design reviews to represent architectural design options.
14.
Telecommute from anywhere in the US permitted.
**Minimum Qualifications:**
Minimum Qualifications:
15.
Bachelor's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Data Analytics, Applied Sciences, or a related field, followed by five years of progressive, post-baccalaureate work experience in the job offered or in a computer-related occupation.
Requires two years of experience in the following:
16.
Data ETL (Extract, Transform, Load) design, implementation, and maintenance on a large scale
17.
Programming in Python, Perl, Java, or PHP
18.
Writing SQL statements
19.
Analyzing large volumes of data to provide data driven insights, gaps, and inconsistencies
20.
Data warehousing architecture and plans
21.
Informatica, Talend, Pentaho, dimensional data modeling, or schema design
22.
Map Reduce or MPP system
23.
LAMP stack development and
24.
Hadoop, HBase, or Hive
**Public Compensation:**
$216,571/year to $240,240/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.
Meta participates in the E-Verify program in certain locations, as required by law.
Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process.
If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
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Unlock Your Data Engineer Potential: Insight & Career Growth Guide
Real-time Data Engineer Jobs Trends in Trenton, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Data Engineer in Trenton, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 207092 jobs in United States and 763 jobs in Trenton. This comprehensive analysis highlights market share and opportunities for professionals in Data Engineer roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Meta is currently hiring and seeking a Data Engineer, Analytics to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Data Engineer, Analytics Jobs Trenton.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Meta adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Data Engineer, Analytics Jobs United States varies, but the pay scale is rated "Standard" in Trenton. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Data Engineer, Analytics typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Data Engineer, Analytics interview at Meta, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Meta's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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