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AWS
Databricks
Python
AWS Glue

Summary

Job Title: Senior AWS Data Engineer

Location: Los Angeles, California,

Job Duration : 6 Months

Senior AWS Data Engineer with 12+ years of overall experience in designing, developing, and optimizing enterprise-scale data platforms.

strong expertise in AWS data services, Databricks, Python, and CI/CD automation, along with domain experience in Finance or Life Sciences/Pharma.

Key Responsibilities Design, develop, and maintain scalable, secure, and high-performance data pipelines on AWS.

Build and optimize ETL/ELT workflows using AWS Glue, Databricks, and Python.

Develop and maintain automated CI/CD pipelines to support efficient deployment and release processes.

Design robust data architectures that support business intelligence, analytics, and reporting needs.

Collaborate with cross-functional stakeholders to understand business requirements and deliver data-driven solutions.

Optimize data processing pipelines for performance, scalability, reliability, and cost efficiency.

Ensure adherence to data governance, security, and compliance standards, particularly within Finance or Life Sciences/Pharma environments.

Participate in architecture discussions and recommend modern data engineering solutions.

Work onsite at the Gilead Santa Monica office three days per week to support team collaboration and project delivery.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10118140
Position Id: 261344
Posted 5 hours ago

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Naren Nandyala

RapidIT, Inc Recruiter @ RapidIT, Inc

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Senior AWS Data Engineer

Skills

Summary

Dice Job Match Score™

Naren Nandyala

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