Amazon Data Engineer Amazon Robotics - Robotic Storage Tech 

United States, Massachusetts 

97865642

You will support data engineering and availability approach for the Robotic Storage Analytics team, contributing to the transition to a more effective data platform. You'll help design and implement scalable data architectures using AWS technologies to handle increasing data volumes, while developing robust data models and efficient ETL/ELT processes. Your role will involve creating and maintaining pipelines for critical metrics and KPIs for software, hardware, solutions engineers, and stakeholder teams. You'll partner closely with other data engineers, data scientists and business intelligence engineers to enhance reporting and inspection processes, with a focus on automation and self-service help. You'll optimize the performance of business-critical queries, resolve ETL job-related issues, and help develop automation solutions using programming languages for data ingestion, publishing, and analytics. You'll build automated solutions to bridge the gap between new product development and generally available tools.Key job responsibilities
As a key member of the team, you'll contribute to the development of tools, pipelines, and architecture for actionable data insights and partner with team members to translate data requirements into optimized structures. Throughout all these tasks, you'll create and maintain comprehensive technical documentation, ensuring knowledge transfer and continuity within the team.A day in the life
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

- Bachelor's degree in a quantitative/technical field such as computer science, engineering, statistics
- 1+ years of data engineering experience
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Knowledge of distributed systems as it pertains to data storage and computing
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting language (e.g., Python, KornShell)

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.