Software Development Engineer – Big Data, AWS Elastic MapReduce (EMR), EMR on EKS
AmazonShanghaiUpdate time: June 27,2022
Job Description
Job summary
Want to change the world with Big Data and Analytics? Come join us on the Amazon EMR team in Amazon Web Services!

Amazon EMR is a cloud big data platform for running large-scale distributed data processing jobs, interactive SQL queries, and machine learning applications using open-source analytics frameworks such as Apache Spark, Hadoop, HBase, Hudi, Flink and more. We run large number of customer clusters, enabling processing on vast datasets.

We are developing innovative new features including our next-generation cluster management system, improvements for real-time processing of big data, ways to process more data faster, and to enable customers to more easily interact with their data. We’re looking for top engineers to build them from the ground up.

Here are sample features that we have delivered:

New features from Apache Hudi 0.7.0 and 0.8.0 available on Amazon EMR: https://aws.amazon.com/blogs/big-data/new-features-from-apache-hudi-0-7-0-and-0-8-0-available-on-amazon-emr/

Support improved Apache HBase performance on Amazon S3 with persistent HFile tracking, and Apache Hive ACID transactions on HDFS and Amazon S3: https://aws.amazon.com/about-aws/whats-new/2020/12/amazon-emr-release-6-2-supports-apache-hbase-on-amazon-s3-apache-hive-acid-transactions-on-hfds-and-amazon-s3/

Key job responsibilities
This is a hands-on position where you will be do everything from designing and building extremely stable components and cutting-edge features for the savviest customers in the business to help them get the best results. You will have the opportunities to work with the open source community and contribute significant portions of software to open source projects including Apache HBase and Hudi.

About the team
In joining our team, you will get to work with a minimum of technical supervision, while playing a variety of roles as needed to respond efficiently to multiple program priorities. You will get to collaborate with some of the best and brightest minds in the industry. You'll enjoy a competitive salary, great benefits, a creative and agile work environment, and the exciting opportunity to be part of a fast-paced and growing team and one of the most innovative technology companies - but most of all, you will get the satisfaction of making products that millions use everyday to great effect!

For more information:

AWS Big Data Blog: https://aws.amazon.com/blogs/big-data/

AWS EMR: https://aws.amazon.com/emr/

AWS re:Invent 2021 - Keynote with Adam Selipsky: https://www.youtube.com/watch?v=WGA2P_oH5Xc

Inclusive Team Culture
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.

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.

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