Job Description
Benefits Experience and Technology (BXT) builds a workplace for Amazonians to invent and deliver on behalf of customers by supporting employees’ financial, education, health, and wellness needs with benefits that optimize value and are easy to discover, enroll, and access.As a member of the BXT Support Tools and Automation (STA) team, you will work to build tools to help improve our benefits administration process that will look to make the benefits experience more seamless for Amazonians. 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.Support Engineer 3 in the BXT STA team will contribute as the first line of engineering support team working in close collaboration with product support and software engineering teams owning business critical services. You will own issues to resolution on behalf of the Amazonians, including coordination, customer communication, and tracking tasks to complete resolution. Support Engineer 3 will contribute to development of processes and mechanisms in support of incoming tickets, including extensive troubleshooting tasks, with responsibilities covering multiple products, features and services driving employee benefits experience. A successful Support Engineer 3 will have broad array of technical and functional skills, take initiative to identify areas of improvement, implement best practices in providing technical support, and think big to proactively mitigate issues using innovative solutions. As a Support Engineer 3 you will have opportunity to work with senior engineers in a multi functional team and advance your career to next level and ownership of critical software systems. 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. Basic qualifications- Experience troubleshooting and debugging technical systems- Bachelor's degree or foreign equivalent in computer science, engineering, mathematics or equivalent- 2+ years of progressive experience in support engineering or software development or a related field- 2+ year of experience with at least one scripting language such as JavaScript, Python, Ruby or similar- 2+ year of experience writing SQL queries including but not limited to using joins, aggregate functions and window functionsPreferred qualifications- 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- 2+ year of experience/understanding of AWS technologies such as S3, Glue, LakeFormation, Redshift or similar big data technologies
