3+ years of experience as a Data Engineer, working with large-scale data systems.
Proficient in AWS: Hands-on experience with core Amazon Web Services for data processing and storage.
Python expertise: Strong proficiency in Python for data engineering tasks and workflow automation.
SQL proficiency: Advanced skills in writing and optimizing complex SQL queries, particularly for data migration into Snowflake.
SDLC knowledge: Familiarity with the Software Development Life Cycle, especially within Python-dominated ecosystems.
Communication: Excellent verbal and written communication skills; able to translate business requirements into scalable technical solutions.
Slang Infrastructure: Prior experience with or interest in learning Slang, a proprietary programming language.
Airflow (MWAA): Familiarity with Amazon MWAA (Managed Workflows for Apache Airflow) for orchestrating and monitoring data workflows in the cloud.
Data system,AWS,Python,SQL,SDLC

Keyskills: python sql queries web services workflow data processing verbal communication data migration storage data engineering sql cloud software development life cycle system apache automation workflow automation written communication aws sdlc programming communication skills