Software Development Engineer - Big Data, AWS Athena, AWS Athena Service

Software Development Engineer - Big Data, AWS Athena, AWS Athena Service

04 Apr 2022
California, Eastpaloalto, 94301 Eastpaloalto USA

Software Development Engineer - Big Data, AWS Athena, AWS Athena Service

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DESCRIPTION

Job summary
Amazon Athena is an analytics service that makes it easy to get insights from Amazon S3 based data lakes using open standards like SQL Parquet, Apache Iceberg and others. Athena is serverless, so there is no infrastructure to set up or manage as the service scales automatically for any arbitrary large datasets and complex query. Creating a simple, rich and performant experience for customers requires solving challenging engineering problems.

We are working on our own container and scale out infrastructure (forecasting, scheduling, containers, admission control, infrastructure deployment) and making significant changes to our Open Source based engine to make it behave more like a traditional warehouse (updates. secondary indices, materialized views, better scripting support) while improving its performance and reliability (memory management, micro-optimizations, CBO, vectorization, etc.). We are a relatively small team by planning to grow by 2x in the next year which means there are a lot of opportunities to make an impact and drive large initiatives.

We value highly technical, hands-on, data driven leaders who know their subject matters deeply, either in Control Plane, Infrastructure or Query Engine internals and is willing to learn new areas. A successful engineer is hardwired towards engineering excellence and understands what it takes to run a production service. We look for individuals who will set aside meaningful time to develop themselves as we continually learn from customers.

Work/Life Balance
Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

BASIC QUALIFICATIONS

  • Programming experience with at least one software programming language.
  • 1+ years of experience in software development

  • 3+ years of non-internship professional software development experience
  • Programming experience with at least one modern language such as Java, C, or C# including object-oriented design
  • Proven track record of building complex software in high performing engineering teams


PREFERRED QUALIFICATIONS

  • Bachelors in Computer Science or Engineering, or equivalent experience
  • Experience in operating distributed systems or applications at large scale
  • Experience delivering performance optimization and reliability features;
  • For Data Plane: query optimization, compilers, query runtime, etc is a huge plus
  • For Control Plane: distributed scheduling, admission control, several 9 on a high QPS environment is a huge plus
  • Any expose to working with open source software such as Presto, Spark, or Hive
  • Masters or PhD in Computer Science or Engineering
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

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