AWS Data Engineer (Cloud Data Platform & Pipeline Specialist) (FTE / Onsite)

NTT DATA Services • Atlanta, GA

1d • Hybrid

About The Position

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a AWS Data Engineer (Cloud Data Platform & Pipeline Specialist) (FTE / Onsite) to join our team in Atlanta, Georgia (US-GA), United States (US). Please note that we are unable to consider candidates with active CPT, OPT, or OPT EAD status for this specific role. Location: Atlanta, GA (3 days/week in-office, 2 days remote)

Requirements

• 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 Haves

• 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.)

Responsibilities

• 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)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level