Data Engineer, Alexa Smart Home
Core
Design and implement scalable data integration and analytical environments to process terabytes of low latency structured and unstructured data for Alexa-enabled smart home devices.
Role type
Senior Data Engineer (Decision Sciences)
Builds
Scalable ETL/ELT pipelines, data models, dashboards, and data access platforms for the Smart Home organization.
Domain
Smart Home / Consumer Electronics / Big Data
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data modeling, ETL/ELT pipeline development, SQL (4+ years), Python, Scala, Java, AWS services (Bedrock, Sagemaker, S3, Redshift, Athena, Kinesis, Lambda, Data Lake), data privacy and compliance design, capacity planning, cost optimization, performance tuning, data lineage, proactive data monitoring.
Preferred skills
Non-relational databases (object storage, document, key-value, graph, column-family), big data technologies (Hadoop, Hive, Spark, EMR), LLMs (prompt engineering, model selection, fine-tuning), API integration with AWS AI services.
Technologies
AWS Bedrock, AWS SageMaker, AWS S3, AWS Redshift, AWS Athena, AWS Kinesis, AWS Lambda, AWS Glue, AWS EMR, Apache Spark, Hadoop, Hive, Elastic Map Reduce, Amazon FireHose, IAM roles.
Responsibilities
Design and implement complex data models and metadata; write scalable SQL queries over billions of rows; build self-service data platforms with data discovery and security monitoring; manage data infrastructure capacity and performance; collaborate with Data Scientists to adopt best practices in data system creation and validation; leverage AI capabilities to enhance data pipeline development.
Seniority
Senior, hands-on IC
