AWS Data Engineer - W2s Only - GC / USC

NOTE: USC / GC Only Job Summary: We are seeking a skilled AWS Data Engineer to support the design, development, and maintenance of scalable cloud-based data solutions. The ideal candidate will have strong experience with AWS services, data engineering tools, and automation to support the Deloitte project team. Key Responsibilities: • Design, build, and maintain scalable data pipelines using AWS services • Develop and optimize data workflows using Python, AWS Glue, and Amazon Redshift • Work with large datasets using Amazon Athena for querying and analysis • Implement serverless solutions using AWS Lambda • Build, configure, and manage AWS infrastructure components such as EC2, S3, RDS, and VPCs • Automate deployment, monitoring, and data processing workflows using AWS native tools • Troubleshoot and resolve issues related to AWS environments and data integrations • Ensure data security, compliance, and governance standards are met • Support cloud migration initiatives for applications and data • Collaborate with cross-functional teams to deliver high-quality cloud solutions Required Skills: • Strong experience with AWS services (Redshift, Glue, Athena, Lambda, S3, EC2, RDS, VPC) • Proficiency in Python for data processing and automation • Hands-on experience with Amazon Redshift (Must Have) • Experience building ETL/ELT pipelines in AWS • Knowledge of data modeling and data warehousing concepts • Familiarity with cloud security best practices Preferred Qualifications: • Experience working in large enterprise environments (preferably with consulting teams) • AWS certifications (e.g., AWS Certified Data Analytics or Solutions Architect) • Experience with CI/CD pipelines and infrastructure as code (CloudFormation/Terraform)