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Key job responsibilities
This position requires superior analytical thinking, ability to quickly approach large, ambiguous problems, and apply analytics, technical, and engineering expertise to rapidly analyze, validate, visualize, prototype, and deliver solutions. It also requires significant cross-functional work and integration with AFT, Finance, Process Engineering, and Program Management. You will also lead the implementation of another large-scale project to support the science team in improving inbound operations.We are focused on building strong leaders within OPTIMA who can own and support these large-scale initiatives. We deal with data from all Amazon fulfillment centers across all regions, so the infrastructure required to support such large-scale data must be optimal and well-thought-out. If you are interested in learning new technologies and working in truly global and large scale data engineering environment, feel free to setup informational with the hiring manager.
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
- 2+ years experience in building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
משרות נוספות שיכולות לעניין אותך