What are the responsibilities and job description for the Big Data Support Engineer, SMGS Ops - DP&I - Data Platform position at Amazon Web Services (AWS)?
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
As a Big Data Support Engineer, you will work closely with our customer teams focused on data engineering, analytics, orchestration and ETL tools, to build highly scalable systems and manage operations of the Data Platform including monitoring its overall health and stability. The perfect candidate will be a customer obsessed engineer who possesses good technical knowledge in Infrastructure, System Tuning, Troubleshooting, Debugging and Monitoring. You will have the opportunity to implement automated solutions across a variety of applications and systems.
About The Team
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.
Basic Qualifications
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, TX, Dallas - 74,700.00 - 130,700.00 USD annually
USA, WA, Seattle - 80,200.00 - 130,700.00 USD annually
Company - Amazon Web Services, Inc.
Job ID: A10416399
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.
As a Big Data Support Engineer, you will work closely with our customer teams focused on data engineering, analytics, orchestration and ETL tools, to build highly scalable systems and manage operations of the Data Platform including monitoring its overall health and stability. The perfect candidate will be a customer obsessed engineer who possesses good technical knowledge in Infrastructure, System Tuning, Troubleshooting, Debugging and Monitoring. You will have the opportunity to implement automated solutions across a variety of applications and systems.
About The Team
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.
Basic Qualifications
- 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
- 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
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, TX, Dallas - 74,700.00 - 130,700.00 USD annually
USA, WA, Seattle - 80,200.00 - 130,700.00 USD annually
Company - Amazon Web Services, Inc.
Job ID: A10416399