At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, innovative and driven leaders. If you'd like to help us build the place to find and buy anything on-line, this is your chance to make history and be intimately involved in growing our business by leading and supporting hourly staffing initiatives. As a Data Engineer, you should be an expert in the architecture of DW solutions for the Enterprise using multiple platforms. You should excel in the design, creation, management, and business use of extremely large datasets. You should have excellent business and communication skills to be able to work with business analysts and engineers to determine how best to design the data warehouse for reporting and analytics. You will be responsible for designing and implementing scalable ETL processes in the data warehouse platform to support the rapidly growing and dynamic business demand for data, and use it to deliver the data as service which will have an immediate influence on day-to-day decision making. You should have the ability to develop and tune SQL to provide optimized solutions to the business.
Amazon is an Equal Opportunity-Affirmative Action Employer - Female/Minority/Disability/Veteran/Gender Identity/Sexual Orientation
· A desire to work in a collaborative, intellectually curious environment. · Degree in Computer Science, Engineering, Mathematics, or a related field or 5+ years industry experience · Demonstrated strength in data modeling, ETL development, and data warehousing. · Data Warehousing Experience with Oracle, Redshift, PostgreSQL, etc. · Query performance tuning skills · Coding proficiency in at least one modern programming language (Python, Ruby, Java, etc)
· Industry experience as a Data Engineer or related specialty (e.g., Software Engineer, Business Intelligence Engineer, Data Scientist) with a track record of manipulating, processing, and extracting value from large datasets. · Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets · Experience building data products incrementally and integrating and managing datasets from multiple sources · Experience leading large-scale data warehousing and analytics projects, including using AWS technologies – Redshift, S3, EC2, etc. · Experience providing technical leadership and mentor other engineers for the best practices on the data engineering space · Linux/UNIX. · Experience with AWS