Data Engineer I, CMT
Technology, Data & Digital · Data, AI & Analytics · Data Engineering · Business Intelligence · Machine Learning
In short
The Data Engineer I position on the Data Platform and Analytics team is responsible for building and maintaining modern data infrastructure for business intelligence and advanced analytics, with a focus on real-time data processing for AI/ML workloads using AWS-native architectures. The role involves delivering data-as-a-product with clear SLAs and managing AWS resources like EC2, Lambda, S3, Redshift, and EMR.
Responsibilities
- Engineer modern data infrastructure supporting real-time data processing for AI/ML inference and training workloads
- Build semantic layers enabling intelligent query routing and context-aware data access
- Develop infrastructure for AI-powered automated workflows and orchestration
- Implement AI-driven data quality, entity resolution, and metadata management solutions
- Own end-to-end accountability for data products from ingestion to consumption
- Deliver data products with clear SLAs, quality metrics, and customer satisfaction measures
- Build self-service platforms with embedded governance, lineage, and discovery capabilities
- Establish data contracts and APIs for reliable, versioned data consumption
- Manage AWS resources including EC2, Lambda, S3, Redshift, and EMR
- Build high-quality data pipelines supporting analysts, data scientists, and downstream consumers
- Implement CDC and event-driven architectures for real-time data availability
- Deploy infrastructure-as-code using CDK
Requirements
- 1+ years of data engineering experience
- Experience with SQL
- 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)
- Bachelor's degree
Desired Qualifications
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
Benefits
- 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.
#Data Engineering#Data Platform#Analytics#Business Intelligence#AI/ML#AWS