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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
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