As a Software Development Engineer with Amazon Redshift, you will have the opportunity to design and implement system architecture of AWS Redshift at Amazon scale. You will contribute to overall strategy by working on impactful product features, system architecture, and best practices that enable a quality product. You will work on the Redshift cloud platform to improve the technologies that orchestrate and manage Redshift clusters globally. You will build out automation of critical operational functions that ensure thousands of servers across all AWS regions worldwide operating at massive scale.
In this role you will have the growth opportunity to work on ambiguous problem spaces and enumerate design choices, trade-offs, and priorities. You demonstrate exceptional technical expertise and a sound understanding of the fundamentals of Computer Science. You are data and metric driven, and obsessively concerned about performance under resource constrained environments. You will mentor junior engineers, participate in defining our technical culture, and help to build a fast-growing team.
This is a unique and rare opportunity to get in on the ground floor within a fast-growing business and help shape the technology, product and the business. You will bring deep technical, networking and coding expertise with the ability to work within a fast moving, startup environment in the industry leading cloud company to deliver a broad business impact.
BASIC QUALIFICATIONS
· Bachelor’s Degree in Computer Science/Engineering, Informatics, Mathematics, or a related technical discipline
· 5+ years of industry experience in data engineering, data science, business intelligence or related field
· Knowledge of data management fundamentals and data storage principles
· Demonstrated strength in data modelling, ETL development, and data warehousing/lakes
· Database design and administration experience with various RDBMS, such as MS SQL Server, PostgreSQL, MySQL, etc.
· Experience architecting data solutions with AWS products including Big Data Technologies (Redshift, RDS, S3, Glue, Athena, EMR, Spark, Hive, etc.) and/or Microsoft Database Software Stack (SQL Server/SSIS/SSAS)
· Advanced SQL and query performance tuning skills.
· Experience building data products incrementally, integrating and managing large data sets from multiple sources
· 2+ year of coding experience with modern programming or scripting language (Python, Scala, Java, etc.).
PREFERRED QUALIFICATIONS
· Master’s Degree in Data Engineering, Applied Data Science, Data and Web Science, or related certification
· Knowledge of systems engineering to optimize integration of data service/software solutions with data infrastructure
· Proven track record of applying data engineering for enabling business analytics (Engineering, Operations, Finance, etc.)
· Experience providing technical leadership and mentoring other engineers for the best practices on data engineering
· Experience using business intelligence reporting tools (AWS QuickSight, Power BI, Tableau, etc.)
· Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
