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Query Processing Engineer - Amazon Kinesis Analytics

Query Processing Engineer - Amazon Kinesis Analytics

Job ID 
462178
Location 
US-WA-Seattle
Posted Date 
9/29/2017
Company 
Amazon Corporate LLC
Position Category 
Software Development
Recruiting Team 
..

Job Description

Are you interested in building world class services with a focus on processing streaming data using SQL? On the Amazon Kinesis Analytics team, we build and operate a fully managed service for real-time analytics over streaming data, (https://aws.amazon.com/kinesis/analytics/). Using Kinesis Analytics, our customers can run continually executing SQL queries over streaming data to extract and act on insights before they lose their value. Kinesis Analytics applications will power a new class of real-time dashboards, perform streaming ETL, detect anomalies in real-time, generate alerts, and drive real-time business decisions such as changing pricing and advertising strategies.

At Amazon Web Services, stream processing is a strategically important area and working on Kinesis Analytics puts you right in the forefront of this leading technology.

We are seeking talented senior engineers interested in learning and developing the “Core Query Processing Engine” that is at the heart of the Kinesis Analytics service. As an engineer on this team you will be working with other senior engineers to:

· Identify and implement novel query execution algorithms
· Implement SQL extensions that open up more use cases for our customers
· Build and optimize components for distributed query processing
· Identify and eliminate any performance and scalability bottlenecks
· Support query engine in production environment by troubleshooting issues, building tools, code instrumentation etc.

Basic Qualifications

Basic Qualifications:
  • 3 to 5 year's overall software development experience
  • Solid understanding of Computer science fundamentals
  • Strong coding skills in Java, C++ (preferred language) or C
  • Multi-threaded, high concurrency programming experience

Preferred Qualifications

  • Background in SQL engine internals or large scale data processing systems (like Hadoop, Spark) especially query processing and/or optimization
  • Strong database fundamentals including SQL, performance, multi-threading, and schema design
  • Experience building highly available systems and operating 24x7 services
  • Experience with distributed systems, consistent hashing, distributed locking, replication, and load balancing
  • Master’s degree or PhD in Computer Science
For more information on Amazon Web Services please visit: http://aws.amazon.com/

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