Found Description
AWS Data Engineer Profile Summary
Data Engineer with 2–5 years of experience designing, building, and maintaining cloud-native data platforms on AWS. Background in developing scalable ETL/ELT pipelines, integrating multiple data sources, and supporting enterprise analytics environments. Experienced in delivering reliable, secure, and high-performance data solutions with a focus on automation, scalability, and data quality.
Key Capabilities
Data Engineering
Cloud-native data architectures on AWS, ETL/ELT pipeline development, data modeling, API and database integration, workflow orchestration.
AWS Services (Some)
Amazon S3, AWS Glue, Lambda, Redshift, Athena, EMR, Kinesis, IAM, Cloud Watch, Event Bridge.
Data Platforms & Tools
Apache Spark, Airflow, Snowflake (preferred), Databricks (preferred), Git/Git Hub.
Programming
Python, SQL, REST APIs.
Dev Ops
CI/CD fundamentals, Docker basics, infrastructure automation exposure, version control with ...