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Tier-1 employer, mid-level data engineer title, metro location, and generalist AWS skillset increase applicant competition.
Core ETL, SQL, and data warehousing skills are highly transferable across industries.
Explicit 3+ years plus mandatory data engineering and SQL skills, with preferred AWS tools not strictly required.
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Lead architecture, design, and development of the data, metrics, and reporting platform for Amazon Prime.
Own end-to-end project design and execution, managing WW Prime core services data infrastructure.
Implement automated operational and quality control processes to deliver accurate, timely data and reporting meeting SLAs, and provide technical leadership to Data Engineers.
3+ years of data engineering experience.
Experience with data modeling, warehousing, and building ETL pipelines.
Proficiency in SQL.
Work Experience Required: 3+ years of data engineering experience.
Experienced in managing large-scale data infrastructure with emphasis on BI and analytics for cross-functional teams.
Proficient in AWS data technologies like Redshift, S3, Glue, EMR, Kinesis, Lambda, IAM as preferred skill set.
Capable of partner engagement across business units and mentoring technical teams.