Data Engineer, Deal Intelligence & Automation, AWS GDSP

Description

GDSP is seeking a Data Engineer to own the data infrastructure that unlocks deal intelligence and automation capabilities across the organization. The role is responsible for designing, building, and maintaining the pipelines, data models, and platforms that enable deal teams to access precise, reliable insights from broad data sets (deal telemetry, pricing models, customer usage, pipeline signals) at scale, with speed and accuracy that hold as volume grows.

• Build and maintain backend data infrastructure for analytical and visualization platforms, ensuring data is clean, fresh, and optimized for downstream consumption
• Translate business problem statements into technical data requirements, partnering with product management and stakeholders to define what data products to build
• Automate and optimize reporting processes to enable self‑service analytics at scale, reducing manual effort and improving speed to insight
• Develop measurement frameworks and metrics that quantify deal execution performance and operational health
• Ensure data quality through monitoring, validation, auditing, and documentation of pipelines and data sources
• Leverage AWS services and generative AI to build next‑generation data solutions that improve efficiency and unlock new analytical capabilities

• 5+ years of data engineering experience
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with SQL
• Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
• Experience mentoring team members on best practices

• Experience with big data technologies such as Hadoop, Hive, Spark, EMR
• Experience operating large data warehouses

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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