Quick Overview
Job Description
Job Title: Data Engineer with AWS Location: Cary, NC (Onsite)
Overview: We are looking for an experienced Data Engineer with strong expertise in AWS cloud technologies to design, build, and optimize scalable data pipelines. This role involves working closely with crossfunctional teams to deliver highquality data solutions that support analytics, reporting, and business intelligence initiatives.
Key Responsibilities:
Develop and maintain ETL/ELT pipelines using Python, PySpark, and SQL.
Design and implement data models and integrations across multiple sources.
Leverage AWS services (S3, Glue, Lambda, Redshift, RDS, EMR, API Gateway) for data engineering solutions.
Ensure data quality, profiling, and governance across platforms.
Collaborate with stakeholders to define requirements and deliver endtoend solutions.
Optimize performance, scalability, and cost efficiency of cloud data platforms.
Required Skills & Experience:
5+ years of experience in data engineering.
Handson expertise with AWS Data Engineering stack (S3, Glue, Redshift, EMR, Lambda, RDS).
Strong proficiency in Python, PySpark, and SQL.
Solid understanding of data modeling, orchestration, and integration.
Experience with CI/CD pipelines, Git, and Agile methodologies.
Excellent problemsolving and communication skills.
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