My Notice Period

Job description

Twitter serves the public conversation because conversation is a force for good in the world. The opportunity to help the world connect, debate, learn, and solve problems is what draws us to careers at Twitter, and it’s what keeps us here.

Who We Are: 

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. 

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 empower dozens of engineering teams, hundreds of co-workers, and millions of users to dream of new insights and new possibilities. 

What You’ll Do: 

If this sounds like a team you want to be a part of, fantastic! We are looking for experienced engineers who love writing code, data engineering, understanding our customers, and collaborating with teammates to ship useful software. 

Sample projects we’ve built: 

Real-time aggregations of interactions on tweets at ~5M/sec scale Unify our batch processing pipelines that count and validate user activity Use hidden Markov modeling to categorize users’ tweeting states 

Who You Are: 

You take satisfaction in building resilient, performant, and thoroughly tested distributed systems that can power the most business-critical applications. You get stuff done and thrive in a small group environment. You have a strong sense of ownership and a curiosity to understand how things work, even if they take you outside your area of expertise. You welcome feedback on are constantly looking for ways to improve yourself. 

Qualifications

On our team, we need people who: 

• Have 4+ years of professional experience.
• Have backend development experience with a solid foundation in data pipelines, distributed systems, large-scale data processing.
• Have proficiency with Scala, Java, C/C++ or Python.
• Show deep understanding in at least one data processing framework including Hadoop, Spark, Flink, KafkaStreams, or Dataflow.
• Enjoy working with our internal customers and having empathy for their problems.
• Embrace a growth mindset and want to improve ourselves, the team, our processes, and the products we work on. 

Additionally, it would be nice if you had: 

• Success in developing in a hybrid-cloud environment.
• Experience with Lambda architectures and different ways of implementing them.
• Working knowledge of ETL and a query language.
• Experience with on-call responsibilities 

Engineering hiring process

Step 1: Once your application is received, a recruiter will reach out pending your qualifications are a match for the role.

Step 2: 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.

Step 3: If the phone interviews go well or your work sample is strong, the final step includes interviews with 5-6 people via a video conference call.

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Interested candidates apply through the below link. Apply before the link expires.
( Select Apply Without Registration )

Note: Only shortlisted candidates will receive the call letter for further rounds.