Key job responsibilities
This role requires an Engineer with 4+ years experience in building data solutions, combined with both consulting and hands-on expertise. The position involves helping to build new and maintain existing data warehouse implementations, developing tools to facilitate data integration, identifying and architecting appropriate storage technologies, executing projects to deliver high-quality data pipelines on time, defining continuous improvement processes, driving technology direction, and effectively leading the data engineering team.You will work with multiple internal teams who need support in managing backend data solutions. Using your deep technical expertise, strong relationship-building skills, and documentation abilities, you will create technical content, provide consultation to customers, and gather feedback to drive the AWS analytic support offering. As the voice of the customer, you will work closely with data product managers and engineering teams to help design and deliver new features and product improvements that address critical customer challenges.A day in the life
You'll be part of a world-class team in an inclusive environment that maintains the entrepreneurial feel of a startup. This is an opportunity to operate and engineer systems on a massive scale and to gain top-notch experience in database storage technologies
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby
- Knowledge of batch and streaming data architectures like Kafka, Kinesis, Flink, Storm, Beam
- Knowledge of distributed systems as it pertains to data storage and computing
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