Amazon Web Services, Inc.
Technology
BigDataSupportEngineer,SMGSOps-DP&I-DataPlatform
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Big Data Support Engineer, SMGS Ops - DP&I - Data Platform at Amazon Web Services, Inc.. Skills: Cloud Support, Data Platform, Linux Administration. Provide technical support for data platform services. Troubleshoot and resolve issues related to data pipelines”
What You'll Achieve.
Maintain high system availability; Reduce incident resolution time; Improve system performance; Enhance system reliability
Industry & Context.
Root cause analysis; System troubleshooting; Performance optimization
On-call rotation
What They're Looking For.
Must Have
Bachelor's degree or equivalent practical experience, 5+ years of experience in a technical support role, Experience with Linux/Unix operating systems, Experience with cloud computing platforms (AWS, Azure, GCP), Experience with scripting languages (Python, Bash)
Nice to Have
Master's degree in a related field, Experience with containerization technologies (Docker, Kubernetes), Experience with monitoring and logging tools, Experience with network protocols, Experience with database administration
What You'll Do.
Provide technical support for data platform services
Troubleshoot and resolve issues related to data pipelines
Monitor system performance and availability
Implement and maintain monitoring and alerting systems
Automate operational tasks using scripting
Collaborate with engineering teams to improve system reliability
Document technical procedures and solutions
Participate in on-call rotation
How You'll Work.
Team & Collaboration
Cross-functional teams; Engineering teams; Product teams
Communication Scope
Technical documentation; Incident communication
Process & Methodology
Agile methodologies
Full Job Description
AWS is seeking a Big Data Support Engineer for the Galaxi Data Platform Team in the AWS Sales, Marketing, & Global Services (SMGS) org. We, the Galaxi Data Platform Team, are in the business of helping our customers securely, conveniently, and quickly manage and gain insights into the organization’s Sales and Marketing data at scale. We are looking for a driven and results-oriented engineer who can support services, that enable customers to self-serve data access for analytics and transaction systems on a multi-petabyte data lake. The ideal candidate thrives in a fast-paced environment, relishes working with big data technologies, and enjoys the challenge of complex business contexts that are typically being defined in real-time. The ideal candidate will be motivated, have strong attention to detail, and will model Amazon Leadership Principles. A familiarity with AWS technologies including S3, Glue, LakeFormation, Redshift as well as other no-SQL solutions which form the foundation of these systems is an asset. Key job responsibilities * Work closely with multiple data platform teams focused on data engineering, analytics, orchestration and ETL tools, to build highly scalable systems and manage operations. * Interface with globally dispersed data consumers to maintain overall health and stability of systems. * Work closely with multiple engineering teams and product teams to implement automated solutions across a variety of applications and systems. * Possess good technical knowledge in Infrastructure, Operational Excellence, System Tuning, and Monitoring. * Participate in design reviews for complex systems. * Perform root cause analysis and drive process and service improvements as a result. * Document frequently occurring issues and report them to SMEs. * Resolve customer tickets related to access provisioning, account vending and data onboarding. A day in the life As a Big Data Support Engineer, you will work closely with our customer teams focused on data engine
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