Amazon

Software Development Engineer - Big Data, Aws Elastic Mapreduce (Emr)

3+ months agoSeattle, WA

DESCRIPTION

Want to change the world with Big Data and Analytics? Want to build new micro-services? Come join us on the Amazon EMR team in Amazon Web Services!

Amazon EMR is a big data platform which enables customers to run massive clusters with distributed big data frameworks like Apache Hadoop, Spark, HBase, Hive, Presto and more, with the ability to effortlessly scale up and down as needed. We run large number of customer clusters, enabling processing on vast datasets.

We are developing innovative new features and building new micro-services. Here are few sample features that we've delivered recently:
• 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/
• New Apache Hudi features on EMR: https://aws.amazon.com/blogs/big-data/new-features-from-apache-hudi-available-in-amazon-emr/
• Support EC2 instances powered by AWS Graviton2 processors with EMR: https://aws.amazon.com/about-aws/whats-new/2020/12/amazon-emr-now-provides-up-to-30-lower-cost-and-up-to-15-improved-performance/
Your responsibilities will include:
- Translation of complex functional and technical requirements into detailed architecture and design
- Deliver systems and features with top-notch quality, on time
- Own the software development process end-to-end, including: working with engineers and product managers to develop requirements; designing, architecting, planning, implementing, and testing new systems and features; deploying, and operating the production EMR systems.

For more information:
• AWS Big Data Blog: https://aws.amazon.com/blogs/big-data/
• AWS EMR: https://aws.amazon.com/emr/
• AWS re:Invent 2020 Keynote - Andy Jassy: https://www.youtube.com/watch?v=xZ3k7Fd6_eU

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.

BASIC QUALIFICATIONS

• 2+ 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
• 1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.
• 3+ years of experience with Master's degree in Computer Science or equivalent OR 5+ years experience with Bachelor's Degree in Computer Science or equivalent, in: software development, including design, implementation, debugging, and support
• Very strong Computer Science fundamentals in algorithm design, data structures, problem solving, and complexity analysis
• Strong proficiency in developing objected-oriented software, with deep experience in one or more relevant languages (Java, C, C++, C#)

PREFERRED QUALIFICATIONS

• Very strong Computer Science fundamentals in algorithm design, data structures, problem solving, and complexity analysis
• Experience designing and building highly-scaled distributed systems and web services
• Thorough understanding of parallel algorithms, concurrency, asynchronous architectures
• Experience working in an agile software development organization
• Experience building with SOA using Java on Linux
• Proficiency in high-performance, multi-threaded programming
• Knowledge of and contribution to Hadoop ecosystem
• Experience with distributed systems architecture
• Experience with one or more of Ruby, Python, Perl
• Proven ability to effectively drive cross-team solutions that may have complex dependencies
• Masters in Computer Science with emphasis on distributed systems and Big Data architectures is a plus.

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.

Job ID: Amazon-1406393