AWS Engineer and Senior Engineer
Core
Designing and building end-to-end cloud-based data engineering systems and automating data pipelines for Fortune 500 enterprise clients.
Role type
Senior AWS Data Engineer
Builds
Scaled data engineering solutions, automation build-outs, and cloud-based system architectures.
Domain
Enterprise AI, Data Engineering, Cloud Infrastructure
Deliverable
production ML models | infrastructure
Required skills
AWS Glue, Apache Spark (PySpark), AWS Managed Kafka, Java application decomposition, MuleSoft integration, Python, AWS Athena, AWS EMR, AWS DynamoDB, AWS S3, AWS Redshift, AWS Kinesis, AWS Lambda, Databricks, Snowflake, Software Engineering principles
Preferred skills
Experience with operational data squads, client business development engagement
Technologies
AWS Glue, Apache Spark, AWS Managed Kafka, MuleSoft, Python, Java, AWS Athena, AWS EMR, AWS DynamoDB, AWS S3, AWS Redshift, AWS Kinesis, AWS Lambda, Databricks, Snowflake
Responsibilities
Architect advanced cloud-based solutions, decompose existing Java applications for replacement with Mule or Lambda services, administer AWS Managed Kafka configurations, build scaled solutions across SDLC phases, support large-scale client business development and delivery engagements
Seniority
Senior, hands-on IC
