Software Development Engineer, Open Data Analytics Engines
About The Position
Amazon Analytics offers fully managed cloud data warehouse and data lake capabilities. Tens of thousands of enterprise customers rely on Analytics services to process exabytes of data every day, powering the business-critical decisions that drive their organizations forward. To stay ahead in such a high-stakes environment, we continuously reinvent ourselves on behalf of customers — and we're looking for innovative engineers to help shape the future of Analytics. We push the boundaries of what's possible by contributing to and leveraging the latest technologies and relentlessly optimizing every layer of the stack within the query engine from query compilation, planning, optimization and execution. If a query can run faster, we find the way. The Open Data Analytics Engines (ODAE) Runtime Team owns the massively parallel query execution engine at the heart of the Analytics data plane. Our singular obsession: performance. We are building the world's fastest query engine — one that powers multiple AWS services and processes data at scale. An ideal candidate would have a background (or deep interest) in distributed systems, databases, or query engines such as Apache Spark and understands how queries are optimized, planned, and executed end-to-end. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services.
Requirements
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
Nice To Haves
- Bachelor's degree in computer science or equivalent
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience in Hive/Spark/Hbase/Yarn, or experience demonstrating software engineering skills in a previous intership, work experience, coding competitions, or publications and experience in any Bigdata architecture
- Knowledge of query processing fundamentals including parsing, logical planning, and physical execution is a nice to have
- Understanding of various storage/OTF formats (Parquet, ORC) and their impact on query performance is beneficial but not necessary
Responsibilities
- Build systems that benefit Analytics customers across the world.
- Take significant ownership on the overall product vision by defining new features and architecture.
- Distill complex and ambiguous requirements, converting them into meaningful projects that provide immense customer value.
- Own and code end-to-end deliverables from design, development, deployment, monitoring, and operations.
- Lead engineers on substantial projects and help develop a flourishing team through active mentoring and hiring.
Benefits
- health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
- 401(k) matching
- paid time off
- parental leave
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Associate degree
