AWS- Senior Data Engineer
Core
Designing and building end-to-end cloud-based data systems and automating integration for enterprise clients.
Role type
Senior IC AWS Data Engineer
Builds
Scaled data solutions, automation pipelines, and cloud architectures for Fortune 500 clients
Domain
Enterprise AI, Cloud Data Engineering, Big Data
Deliverable
production ML models | product features | infrastructure
Required skills
AWS Glue, Apache Spark (PySpark), AWS Lambda, Java development, AWS Athena, AWS EMR, AWS DynamoDB, AWS S3, AWS Redshift, AWS Kinesis, Databricks, Snowflake, Kafka administration
Preferred skills
MuleSoft service architecture, Python, system decomposition
Technologies
AWS Glue, Apache Spark, AWS Lambda, Java, MuleSoft, Python, AWS Athena, AWS EMR, AWS DynamoDB, AWS S3, AWS Redshift, AWS Kinesis, Databricks, Snowflake, Kafka
Responsibilities
Architect advanced cloud-based solutions and launch system build-outs; Administer AWS Managed Kafka configuration; Decompose existing Java applications into Mule services or Lambda functions; Build scaled solutions using Software Engineering principles across SDLC phases; Participate in large-scale client business development and delivery engagements.
Seniority
Senior, hands-on IC
