AWS Data Engineer

Role: AWS Data Engineer

Location: Atlanta GA (3 days/week in-office 2 days remote)

Type: Contract

Day-to-Day Job Duties:

• Design develop and maintain scalable cloud-based data pipelines using AWS services such as Glue EMR S3 RDS DataSync and DMS
• Build and optimize batch and streaming data orchestration workflows to support enterprise data platforms
• Lead large-scale data migration efforts including legacy-to-cloud transformations and replication strategies
• Perform data modeling transformation and reconciliation to ensure high-quality consistent datasets across systems
• Implement secure data access patterns following least-privilege principles for pipelines and datasets
• Collaborate with data architects analysts and business stakeholders to understand data requirements and deliver solutions
• Establish robust data validation reconciliation and audit mechanisms to meet regulatory and reporting requirements
• Troubleshoot and optimize performance of ETL/ELT pipelines and data workflows in AWS environments
• Support governance compliance and audit readiness for data platforms in regulated environments (finance/reporting)

Basic Qualifications:

• 5 years of experience in data engineering with strong hands-on expertise in AWS data services (Glue EMR S3 RDS DataSync DMS)
• 5 years of Proven experience building and managing data pipelines (batch and streaming) in cloud environments
• 5 years of Strong experience in data migration transformation frameworks and large-scale data replication
• 5 years of Deep understanding of data modeling data transformation and reconciliation techniques
• 5 years of Experience designing and implementing secure data access and governance (least privilege principles)
• 5 years of Hands-on experience with data validation auditing and reconciliation processes
• Familiarity with regulatory or finance data environments and reporting workloads
• 5 years of Strong problem-solving skills and ability to work in a collaborative fast-paced environment

Nice to Have (Preferred not mandatory):

• Experience with real-time/streaming technologies (e.g. Kafka Kinesis)
• Exposure to data warehousing platforms (Redshift Snowflake etc.)
• Experience with infrastructure-as-code (Terraform CloudFormation)
• Knowledge of DevOps practices and CI/CD for data pipelines
• Prior experience working in regulated industries (Financial Services Healthcare etc.)

Travel:

• Minimal travel required (< 10%)

Education:

• Bachelors degree in Computer Science Engineering or related field (or equivalent work experience)