





Metro location, common data engineer title, and broad skill requirements increase applicant competition.
Data engineering skills are broadly transferable across industries despite AWS-specific Glue experience.
Requires specific AWS Glue, SQL, Python and DevOps skills, enforcing moderate filtering.
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Develop and maintain ETL workflows and data transformation processes using Amazon Glue.
Write complex SQL queries and build scalable Python scripts for data processing and automation.
Implement and manage DevOps solutions for deployment, monitoring, and maintenance of data pipelines.
Proficiency in Amazon Glue for ETL workflows and data processing.
Strong SQL skills for querying and data manipulation.
Advanced Python programming skills for scripting and automation.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in designing and optimizing data pipelines in a collaborative team setting.
Familiar with integrating DevOps practices in data engineering workflows for continuous integration and deployment.
Knowledgeable about data modeling, data warehousing, and data lake concepts relevant to scalable data solutions.