Big Data Support Engineer, SMGS Ops - DP&I - Data Platform

Amazon • Seattle, WA

34d • Onsite

About The Position

AWS is seeking a Big Data Support Engineer for the Galaxi Data Platform Team in the AWS Sales, Marketing, & Global Services (SMGS) org. The Galaxi Data Platform Team helps customers securely, conveniently, and quickly manage and gain insights into the organization’s Sales and Marketing data at scale. They are looking for a driven and results-oriented engineer to 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, enjoys working with big data technologies, and embraces the challenge of complex business contexts that are often defined in real-time. The ideal candidate will be motivated, have strong attention to detail, and will model Amazon Leadership Principles. Familiarity with AWS technologies including S3, Glue, LakeFormation, Redshift, and other no-SQL solutions is an asset.

Requirements

• Experience troubleshooting and debugging technical systems
• Bachelor's degree or foreign equivalent in computer science, engineering, mathematics or equivalent
• 1+ years of progressive experience in support engineering or software development or a related field
• 1+ year of experience with at least one scripting language such as JavaScript, Python, Ruby or similar
• 1+ year of experience writing SQL queries including but not limited to using joins, aggregate functions and window functions

Nice To Haves

• Experience in systems patching and maintenance
• Experience with ETL processes
• Experience with AWS services and Linux operating systems
• Experience in automation with CI/CD, Data Quality Management and Operations
• Good understanding of systems monitoring, debugging and troubleshooting
• Excellent technical knowledge in building and deploying cloud applications
• 1+ year of experience/understanding of AWS technologies such as S3, Glue, LakeFormation, Redshift or similar big data technologies

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.

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave
• sign-on payments
• restricted stock units (RSUs)

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level