Software Engineer - Big Data Engineering
Who We Are:
Twitter’s globally distributed, real-time communications network generates trillions of events and petabytes of data per day. As engineers on the Data Platform team, our mission is to build the fastest, most reliable, and largest-scale data processing technologies in the world - able to cope with ever-increasing volumes of data in real time - and then apply them to the company’s most critical and fundamental data problems.
What You’ll Do:
As a member of the team, you will be the “source of truth” for Twitter’s most fundamental data - such as Tweet content, engagement data, and user relationships - along with core metrics such as daily and monthly active users. You will surface these datasets in real time to mission-critical products and business applications throughout the company. You will be among the earliest adopters of bleeding-edge data technologies and features, working directly with infrastructure teams to integrate them into your services at scale. You will empower dozens of engineering teams, hundreds of co-workers, and millions of users to dream of new insights and new possibilities.
Data Platform is hiring for the following applications teams:
Data Applications - backend services that surface fundamental data to Twitter’s products in real time
Core Metrics - pipelines that sift through tens of billions of events per day to power Twitter’s most critical business insights
Data Fidelity - advanced, high-performance statistical monitoring, such as time-series anomaly detection, to deliver the cleanest and most reliable data to our users
Who You Are:
You want to be part of a community of the most talented, forward-thinking engineers in the industry. You take satisfaction in building resilient, performant, and thoroughly tested distributed systems that can power the most business-critical applications. You want to learn, work with, and contribute to cutting-edge open-source technologies. The ideal candidate has experience with and/or history of contributions to Hadoop, Spark, Hive, Scalding, Parquet, or similar technologies. You have experience in distributed systems, database internals, or performance analysis.
- MS in computer science or a related field OR BS in computer science and 3 years of experience in software engineering.
- Backend development experience with a solid foundation in data pipelines, distributed systems, large-scale data processing
- Proficiency with Java or Scala
- Experience with Linux/Unix systems
- Working knowledge of MapReduce, Hadoop, HDFS
We are committed to an inclusive and diverse Twitter. Twitter is an equal opportunity employer. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran status, genetic information, marital status or any other legally protected status.
San Francisco applicants: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Engineering Hiring Process
Once your application is received, a recruiter will reach out pending your qualifications are a match for the role.
If your background is a match, you may have 1-2 technical phone interviews or be given the chance to provide a work sample depending on the role.
If the phone interviews go well or your work sample is strong, the final step includes interviews with 5-6 people held onsite in our office.
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