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.
· 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.
· 13+years of IT and 5+ years of experience in Data Engineering or ETL development.
· 3+ years of hands-on experience with AWS services, including:
o 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.
· Familiarity with DevOps practices and tools such as CloudFormation, Terraform, or CI/CD pipelines is a plus.
Regards,
Dhiva
813-906-5201
