Does the prospect of building large-scale extensible solutions to process Amazon scale data excites you? Do you want to create the next-generation tools for intuitive data access? Amazon's Retail Business Services (RBS) tech team is looking for a Data Engineering to join the RBS Data Engineering team.
Amazon strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices, vast selection, and convenience - Amazon continues to grow and evolve as a world-class e-commerce platform. Amazon RBS team is responsible for many business critical programs in the Retail business to increase the available selections, proactively reduce customer impacting defects, and improve vendor profitability and relationships. Analytic dashboards and reports built on our data and data processing infrastructure are critical for the Business and operations team day to day functioning.
As the senior data engineer, you will build and evolve the next gen data platform to process and report petabyte scale data from RBS systems, our catalog, and various other interfacing systems. You will own end to end projects to plan, design, and execute critical features of this platform. You will develop team operating procedures and coach junior engineers to continuously raise the bar of team operations.
The ideal candidate will have strong experience in heterogeneous technologies in DW space (map/reduce, columnar DBs etc.,). You should be an expert with Data warehouse architectures, data modeling, and data processing using distributed compute solutions. Most importantly, you should be passionate about data and analytic.
Bachelor's degree or higher in a quantitative/technical field (e.g. Computer Science, Statistics, Engineering).
5+ years of relevant experience in building DW/BI systems
Demonstrated ability in data modeling, ETL development, and Data warehousing.
Strong experience with Big Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.)
Proficiency in one or more scripting languages E.g. Python
Expertise in a BI solution like Tableau, Quicksight
Strong technical and analytical aptitude; Excellent oral and written communication skills.
A desire to work in a fast paced, intellectually curious environment
Experience in building large scale DW/BI systems for internet companies
Experience with AWS services including S3, Redshift, EMR and RDS.