Sr. Level AWS Data Engineer-ETL

American IT Systems • Houston, TX

5d

About The Position

We are seeking a highly skilled AWS Data Engineer with a strong background in Red Hat Linux and expertise in building ETL pipelines to support cloud data migration initiatives. The ideal candidate will have hands-on experience with AWS Migration Services and will play a critical role in designing, developing, and maintaining scalable data integration solutions in a secure and reliable cloud environment.

Requirements

• 5+ years of experience in Data Engineering or ETL development.
• 3+ years of hands-on experience with AWS services, including: AWS Glue, AWS Lambda, AWS DMS, S3, Redshift, EMR, and Step Functions.
• Proficiency in Red Hat Linux administration, shell scripting, and system troubleshooting.
• Experience in designing and implementing ETL solutions for cloud migration projects.
• Strong proficiency in Python, SQL, and cloud-native data processing frameworks.
• Solid understanding of data warehousing, data lakes, and cloud-native architectures.

Nice To Haves

• Familiarity with DevOps practices and tools such as CloudFormation, Terraform, or CI/CD pipelines is a plus.

Responsibilities

• Design, build, and optimize robust ETL pipelines for data migration and integration using AWS services such as AWS Glue, Data Migration Service (DMS), Lambda, and Step Functions.
• Work with AWS Migration Services to migrate on-premises data sources to AWS cloud-based data lakes and databases.
• Administer and troubleshoot Red Hat Linux environments as part of the data pipeline infrastructure.
• Collaborate with data architects, cloud engineers, and stakeholders to define data migration requirements and strategies.
• Ensure data quality, data governance, and security standards are enforced throughout the ETL lifecycle.
• Monitor and maintain data workflows to ensure performance, scalability, and fault tolerance.
• Automate and orchestrate data workflows using scripting (Python, Bash) and cloud-native tools.
• Support and troubleshoot production data pipelines and perform root cause analysis on failures.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed