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Key job responsibilities
- Develop and maintain ETL pipelines in Spark to transform and load FBA metrics into the Data Lakehouse.
- Optimize SQL queries for fast, cost-efficient access by AI systems.
- Support dbt semantic models and automate metadata enrichment with Glue.
- Write automated tests to ensure data quality and freshness.
- 1+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting language (e.g., Python, KornShell)
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
- Proficiency in dbt, Airflow/MWAA, AWS Glue, Kinesis.
- Experience building semantic layers or BI models.
- Familiarity with prompt-driven SQL generation and AI-assisted query validation.
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Designing API-based services in NAWS that enable scalable platforms for both internal and external partners.Key job responsibilities
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 3+ years of Video Games Industry (supporting title Development, Release, or Live Ops) experience
- Experience programming with at least one software programming language
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
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Sales, Marketing and Global Services (SMGS)
We are looking for technical builders who love the idea of working with early stage startups to help them as they grow. In this role, you’ll work directly with a variety of interesting customers and help them make the best (and sometimes the most pragmatic) technical decisions along the way. You’ll have a chance to build enduring relationships with these companies and establish yourself as a trusted advisor.As well as spending time working directly with customers, you’ll also get plenty of time to “sharpen the saw” and keep your skills fresh. We have more than 175 services across a range of different categories and it’s important that we can help startups take advantages of the right ones. You’ll also play an important role as an advocate with our product teams to make sure we are building the right products for the startups you work with. And for the customers you don’t get to work with on a 1:1 basis you’ll get the chance to share your knowledge more broadly by working on technical content and presenting at events.A day in the life
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred 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
Work/Life BalanceMentorship and 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.
- 4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 2+ years of design, implementation, or consulting in applications and infrastructures experience
- 7+ years of IT development or implementation/consulting in the software or Internet industries experience
- Experience working within software development or Internet-related industries
- Experience in technology/software sales, pre-sales, or consulting
- Knowledge of AWS services
- Knowledge of cloud architecture
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Key job responsibilities
- Push the technical bar, take the initiative to learn and experiment with emerging technologies in areas of Generative AI, Machine Learning, Blockchain, AR/VR, IoT, etc. in an enterprise context.Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred 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
Work/Life BalanceMentorship and 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.
- 10+ years of IT development or implementation/consulting in the software or Internet industries experience
- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Deep knowledge of software development tools, agile methodologies, active, hands-on coding, and application design experience. Proficiency developing in one or more modern programming language; Full-Stack development skills: Java, Python, Javascript, GoLang, React, AngularJS, CSS, etc.). Ensure technical output, such as code and other artifacts, are packaged in an easily consumable and repeatable way for customers and internal teams including marketing, solutions architecture, and support.
- Must be able to drive discovery discussions, clearly scope out problems, whiteboard technical architectures and quickly go hands-on keyboard implementing them.
- Knowledge of AWS services, market segments, customer base and industry verticals
- 6+ years as a technical leader. Ability to lead in-depth architectural discussions with the customer, partners, and other AWS teams.
- Experience working with Machine Learning and GenAI tools, including coding assistants
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Key job responsibilities
As Enterprise Support Manager, you will lead a team of Technical Account Managers who are the primary operational point of contact for your customer, helping to plan, review, and oversee ongoing operations of business critical applications. You will leverage your broad experience to work closely with sales leadership to plan and ensure successful launch and operations of AWS’s largest application workloads. You will lead operations reviews, both internally and with your customers, while constantly seeking ways to improve your customer’s AWS experience. In this role, you will also act as the voice of the customer within AWS to escalate problems and to drive prioritization of business needs for our customers.Every day will bring new and exciting challenges on the job while you:* Champion and advocate for Enterprise customers within Amazon Web Services (be their voice)
* Develop the team responsible for solving technical issues and working directly with AWS engineers to ensure that customer issues are resolved as expediently as possible
* Participate in deep architectural discussions to ensure solutions are designed for successful deployment in the cloud
* Help Enterprise customers define IT and business processes that work well with cloud deployments
* Engage with Director and C-Level executives to translate business needs into technical and operational plans
* Work with AWS executive leadership to influence the product roadmap
* Provide detailed reviews of service disruptions, metrics, detailed pre-launch planningAbout the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred 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?Inclusive Team CultureMentorship & 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
- Bachelor’s degree with 15+ years of related experience
- 5+ years of managing technical teams
- Past experience as a leader managing Start-ups or Public Sector customers
These jobs might be a good fit

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Key job responsibilities
- Develop and maintain ETL pipelines in Spark to transform and load FBA metrics into the Data Lakehouse.
- Optimize SQL queries for fast, cost-efficient access by AI systems.
- Support dbt semantic models and automate metadata enrichment with Glue.
- Write automated tests to ensure data quality and freshness.
- 1+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting language (e.g., Python, KornShell)
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
- Proficiency in dbt, Airflow/MWAA, AWS Glue, Kinesis.
- Experience building semantic layers or BI models.
- Familiarity with prompt-driven SQL generation and AI-assisted query validation.
These jobs might be a good fit