Big Data Support Engineer, SMGS Ops - DP&I - Data Platform
Amazon - Dallas, Texas, USA
Posted May 11, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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- 401(k) match
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Big Data Support Engineer, SMGS Ops - DP&I - Data Platform Dallas, Texas, USA 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
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