Data Engineer II

Are you interested in guiding key business decisions around one of Amazons most significant customer facing teams Do you want to build a cuttingedge highly scalable analytics big data platform using AWS technologies such as Redshift, RDS, S3, EMR, Glue, ADP, Hive, Kinesis, SNSSQS, and NAWS supported streaming services Do you want to collaborate with Business Intelligence Engineers BIE and Data Scientists DS to build MLLLM models to support our major customer facing features and initiatives to drive team efficiency We are seeking an experienced, selfdriven, analytical, and strategic Sr. Data Engineer. In this role, you will be working in one of the worlds largest and most complex data warehouse environments. You should be passionate about working with huge datasets and be someone who loves to bring data together to answer business questions. You should have deep expertise in creation and management of data lake and the proven ability to guide continuous enhancement of data architecture by identifying efficiency gaining solutions and leveraging evolving new technologies. In this role, you will have ownership of endtoend development of data engineering solutions to complex questions and youll play an integral role in strategic decisionmaking.The right candidate will possess excellent business and communication skills, be able to work with business owners to tackle ambiguous business questions with creative datascience solution designs, and be able to collaborate with BIEs and DSs to build those solutions or answer business questions. You should have a solid understanding of how to build efficient and scalable data infrastructure and data models, and have the capability or the desire to learn and implement Elastic MapReduce EMRbased solutions where appropriate.Key job responsibilitiesIn this role, you will have the opportunity to display your skills in the following areas: Design, implement, and support an analytical data infrastructure providing ad hoc access to large datasets and computing power Managing AWS resources including EC2, RDS, Redshift, etc. Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency Collaborate with BIEs to recognize and help adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation Collaborate with DS to implement advanced analytics algorithms that exploit our rich data sets for statistical analysis, prediction, clustering and machine learning Help continually improve ongoing reporting and analysis processes, automating or simplifying selfservice support for customers