Amazon Corporate LLC Data Engineer, AWS Finance Central Economics in Seattle, Washington

Data Engineer, AWS Finance Central Economics Location: US-WA-Seattle Job ID: 760877 Company: : Services, Inc. Position Category: Database Administration Company/Location (search) : Country (Full Name): : United States Job Description The AWS Finance Central Economics team is looking for a Senior Engineer to build data pipelines and be an integral part of our research team. The successful candidate will build a data pipeline and analytics on very large data sets in one of the world's largest and most complex data warehouse environments. The candidate will also be able to stretch their skills in Machine Learning and Data Lake Technologies. Our data warehouse is built on AWS cloud technology like EC2, S3, and Redshift. Our current reporting architecture leverages Microstrategy, AWS QuickSight, Salesforce and internal custom email based flash reporting tools and systems. The role requires strong understanding of large datasets, solid interpersonal and communication skills, a keen attention to detail, ability to work in a fast-paced environment, an entrepreneurial ability to work with minimal direction, and rapid prototyping. As a Data Engineer in AWS Finance: * you will be leading the technical charter on reporting platform for self-service analytics and you will solve complex analytical problems at a global scale. * You will have a direct interaction with AWS businesses and finance to translate their business requirements into technical specifications. * You will partner effectively with the data engineering team on common areas of scaleability, data quality management, data delivery management and performance optimization. * You will work closely with the business and technical teams in analysis on many non-standard and unique business problems and use creative-problem solving to deliver actionable output. * Your work will have a direct impact on the day-to-day decision making and operational planning processes within the AWS Finance organization. Basic Qualifications* Bachelor's degree or higher in Computer Science, MIS, related technical field, or equivalent work experience. * At least 5 years of relevant work experience in analytics, data engineering, business intelligence or related field * At least 5 years of hands-on experience in writing complex, highly-optimized SQL queries across large datasets. * At least 2 years of experience in one languages like Python etc. * Demonstrable ability in data modeling, ETL development, and Data warehousing, or similar skills * Experience building/operating systems for data extraction, ingestion, and processing of large data sets involving petabytes of data * Demonstrable advanced skills and experience using SQL with large data sets (e.g. Oracle, SQL Server, Redshift) * Experience with AWS technologies including Redshift, RDS, S3, EMR and RDS * Proven track record of successful communication of analytical outcomes through written communication, including an ability to effectively communicate with both business and technical teams * Exposure and knowledge of Security, encryption and Data Governance * Experience in working and delivering end-to-end projects independently. Preferred Qualifications * Graduate degree in computer science, business, mathematics, statistics, economics, or other quantitative field * 5+ years prior experience in a Data Engineer role with a technology company or financial institution. * Both technically deep and business savvy enough to interface with all levels and disciplines within the organization * Demonstrated ability to coordinate projects across functional teams, including engineering, IT, product management, finance, and operations * Experience with AWS technologies including