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AmerisourceBergen Corporation Data Engineer in BOISE, Idaho

Title: Data Engineer Location: United States-Idaho-Boise Job Number: 000028HU The candidate will work in a team with other engineers and researchers to develop innovative data driven solutions that integrate distributed sources of data, perform large scale learning and reasoning, and integrate results in collaborative environments to support the business analytics and data provisioning needs of the enterprise. This role will be responsible for technical leadership of junior engineers and will also be responsible for hands on design and coding of solutions. The ideal candidate will be well-versed in state of the art data management and processing technologies and experienced in applying them to large scale commercial, scientific or industrial applications. The candidate should be comfortable working with cloud and hybrid solutions. Participates in planning process including technical design, development, testing and delivery of analytics solutions. Acts as senior developer in larger scrum team. Ensures a consistent and coherent technical delivery of solutions Participates in testing design and execution, peer code reviews, etc. Identifies opportunities to drive down service costs though technology or process enhancements. Optimizes platform performance. Keeps abreast of new technologies in the Big Data arena. Adheres to development and governance standards. Provides guidance, training, and problem solving assistance to other team members. Leads small project teams or work streams. Participate on weekly on call rotation. Qualifications: Bachelor’s degree in Programming/Systems, Computer Science, Statistics, Electrical Engineering or equivalent work experience. >5 years of related technical experience. Experience with Cloud based analytic, data management and visualization technologies Demonstrated knowledge of data management concepts as well as an outstanding command of the SQL standard. Knowledge and exposures to Azure SQL DataWarehouse or other cloud or on premises MPP data warehousing systems (MS APS, Teradata, Snowflake) Solid knowledge on how SQL server internal works and how to tune/optimize a query for faster access of data. Knowledge of Kimball’s Datawarehouse design Principles. Experience in using and tuning relational databases (MS SQL Server, Oracle, MySql). Knowledge and experience with Azure Data Factory, SSIS or another ETL environment Experience with Lambda and Kappa architecture implementations is a plus Experience with DataLake implementations and design patterns is a plus Knowledge of Test-Driven Development, Continuous Integration, Agile/Scrum Experience with code versioning tools and a command of configuration management concepts and tools. Demonstrated ability to quickly learn and adapt to new technologies and coding techniques. Experience designing, developing and testing applications using proven or emerging technologies, in a variety of technologies and environments. Knowledge in cloud resource provisioning and management on Azure and/or AWS is a plus. Familiar with Streaming and with streaming concepts and patterns is a plus Scientific computing experience (R, Matlab, Python, etc.) is a plus. Knowledge of NoSql data management systems (MongoDB, HBase, Cassandra) is a plus. Theoretical and practical background in data mining and machine learning is a plus Self-driven, ability to work on multiple tasks and adapt to change Outstanding interpersonal and communication (written & verbal) skills Strong collaboration skills and ability to thrive in a fast-paced environment Ability to lead other Data Engineers on small projects initiatives Successful candidate must be able to work with controlled technology in accordance with US export control law. Job: Information Technology

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