You will own the data engineering and availability approach for the Robotic Storage Analytics team spearheading the transition to a more effective data platform. Youll 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 critical metrics and KPIs for software hardware solutions engineers and stakeholder teams. Youll partner closely with data scientists and business intelligence engineers to enhance reporting and inspection processes with a focus on automation and selfservice help. Youll establish and enforce data governance policies implement quality controls and set up monitoring mechanisms. Your expertise will be crucial in designing and building data integration pipelines to consolidate information from various sources into a unified platform. Youll optimize the performance of businesscritical queries resolve ETL jobrelated issues and develop automation solutions using programming languages for data ingestion publishing and analytics. Youll build automated solutions to bridge the gap between new product development and generally available tools.
We are seeking an experienced Data Engineer to join our team at Amazon Robotics. The ideal candidate will have experience with AWS technologies including Redshift Athena S3 AWS Glue EMR Kinesis FireHose and Lambda. You should be comfortable working singularly on endtoend projects and possess highlevel proficiency in SQL ETL processes version control and general data wrangling. Strong communication skills are essential as youll be interacting with various teams and stakeholders. Were looking for a selfstarter who thrives in a fastpaced ambiguous environment capable of thinking big while maintaining attention to detail. A successful candidate will demonstrate an excellent grasp of efficient and scalable data mining techniques and the ability to apply data in financial and statistical modeling. Strong organizational skills scholarly curiosity and the capacity to manage multiple projects simultaneously are crucial. In this role youll be own designing developing and maintaining data pipelines data models and warehousing solutions ensuring data integrity and availability across the storage organization. Youll guide our transition to a more effective data platform serve as the SME for software data integration and metric implementation and partner with various teams to define and scale metrics. Your expertise will be vital in building automated solutions for new products at Amazon Robotics.
Key job responsibilities
As a key member of the team youll oversee the development of technical strategies for actionable data insights and partner with stakeholders to translate data requirements into optimized structures. Youll also play a vital role in mentoring and developing other data roles across the organization. Staying current with big data technologies and conducting pilots for new data architecture designs will be part of your ongoing remit. Throughout all these tasks youll create and maintain comprehensive technical documentation ensuring knowledge transfer and continuity within the team.
A day in the life
Amazon offers a full range of benefits that support you and eligible family members including domestic partners and their children. Benefits can vary by location the number of regularly scheduled hours you work length of employment and job status such as seasonal or temporary employment. The benefits that generally apply to regular fulltime employees include:
1. Medical Dental and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly wed still love to hear from you! At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply!
About the team
The Amazon Robotics Storage Analytics team discovers insights in vast and varied robotic data to help our research and engineering teams understand how ARs technologies operate across Amazons network of fulfillment warehouses. We partner with designers software and hardware engineers product managers and operations teams to interpret product requirements make feature tradeoffs design and operate new applications of Amazon Robotics Storage technology. We conduct relevant insightful inspections and communicate the results through white papers and presentations. Our methods include design of experiments statistical modeling machine learning financial evaluation and data visualization.
3 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 working on and delivering end to end projects independently
Experience programming with at least one modern language such as C C# Java Python Golang PowerShell Ruby
Experience with Redshift Oracle NoSQL etc.
Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
Experience with nonrelational databases / data stores (object storage document or keyvalue stores graph databases columnfamily databases)
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