Data Engineer, Deal Intelligence & Automation, AWS GDSP
Big Data
Bigdata
Cloud Operations
Data
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Integration
Data Integration Tools
Data Pipeline
Data Platform
Data Processing
Data Warehouse
Database
Databases
ETL
Hadoop
Hive
Informatica
Information Technology (IT)
Integration
Java Language
Programming
Reporting and Analytics
Scala
Software Development
Software Engineering
Spark
SQL
Job Description
AWS GDSP builds the products that power how the organization operates, with reporting and tooling designed for clarity, reliability, and scalability. In this Data Engineer role, you will design and maintain backend data infrastructure and pipelines that keep deal intelligence and automation data clean, fresh, accurate, and ready for downstream teams.
What you’ll do
- Design, build, and maintain backend data infrastructure for analytical and visualization platforms, optimizing datasets for downstream consumption.
- Convert business problem statements into technical data requirements by partnering with product management and stakeholders to define the data products to build.
- Automate and optimize reporting processes to support self-service analytics at scale, reducing manual effort and improving speed to insight.
- Create 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.
- Use AWS services and generative AI to deliver next-generation data solutions that improve efficiency and unlock new analytical capabilities.
Basic qualifications
- 5+ years of data engineering experience.
- Experience with data modeling, warehousing, and building ETL pipelines.
- Experience with SQL.
- Experience with at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS.
- Experience mentoring team members on best practices.
Technologies you may work with
- SQL, Python, Java, Scala, NodeJS
- Hadoop, Hive, Spark, EMR
Benefits
- Sign-on payments and restricted stock units (RSUs).
- Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, option for Supplemental life plans), EAP, and Mental Health Support, plus a Medical Advice Line.
- Flexible Spending Accounts.
- Adoption and Surrogacy Reimbursement coverage.
- 401(k) matching.
- Paid time off and parental leave.
Location: Santa Monica, CA (onsite)
Compensation: USD 154,600 - 209,100 per yearly
AWS values diverse experiences. If you do not meet all of the preferred qualifications and skills listed in the job description, you are encouraged to apply.
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