Senior Cloud Engineer

2 days ago


Iowa, United States Aureon Consulting Full time
Aureon Consulting - Senior Software Engineer

We are seeking a highly skilled and experienced Senior Level Engineering Consultant with expertise in AWS, Python, and AWS Glue to join our team.

Key Responsibilities:
  • Design, develop, and maintain scalable and robust data pipelines and solutions using AWS Glue and Python to support data integration and analytics.
  • Utilize AWS services such as EC2, S3, Lambda, RDS, and Redshift to build scalable and secure cloud-based solutions.
  • Implement data extraction, transformation, and loading (ETL) workflows to manage data from various sources into a centralized data warehouse or data lake.
  • Optimize data processing and storage solutions for performance, cost, and scalability.
  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.
  • Implement monitoring, logging, and alerting mechanisms to ensure the reliability and performance of data pipelines.
  • Ensure data security and compliance with industry standards and best practices.
  • Develop and maintain comprehensive documentation for data pipelines, infrastructure, and processes.
Qualifications:
  • Minimum of 5 years of experience in a similar role with a strong focus on AWS, Python, and AWS Glue.
  • Proficiency in AWS services (EC2, S3, Lambda, RDS, Redshift), Python programming, and AWS Glue for ETL processes.
  • Strong understanding of data warehousing concepts, data modeling, and ETL best practices.
  • Excellent analytical and problem-solving skills with the ability to troubleshoot complex data and infrastructure issues.
  • Strong interpersonal and communication skills to work effectively with cross-functional teams.
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
Preferred Qualifications:
  • Certifications: AWS Certified Solutions Architect, AWS Certified Data Analytics, or other relevant AWS certifications.
Additional Skills:
  • Experience with other data integration tools, big data technologies (such as Hadoop, Spark), and data visualization tools.


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