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AWS Data EngineerNTT Data Americas, Inc. • Atlanta, Georgia, United States
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AWS Data Engineer

NTT Data Americas, Inc.
  • US
    Atlanta, Georgia, United States
  • US
    Atlanta, Georgia, United States
Apply Now

About

Job Overview NTT DATA's Client is seeking an AWS Data Engineer to design, develop, and maintain scalable cloud-based data pipelines using AWS services such as Glue, EMR, S3, RDS, DataSync, and DMS.
Responsibilities
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
Experience with real‑time/streaming technologies such as Kafka or Kinesis.
Exposure to data warehousing platforms such as Redshift or Snowflake.
Experience with infrastructure‑as‑code tools (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 ( Education Bachelor's degree in Computer Science, Engineering, or related field (or equivalent work experience).
Compensation Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting hourly range for this role is Hourly Rate $60.00 to $65.00/Hour. Actual compensation will depend on several factors, including the candidate’s relevant experience, technical skills, and other qualifications.
Benefits This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, flexible spending or health savings account, life and AD&D insurance, short‑and long‑term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally required benefits.
Equal Opportunity Employer NTT DATA Services is an equal opportunity employer and considers all applicants without regard to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees. If you need assistance or an accommodation due to a disability, please inform your recruiter so that we may connect you with the appropriate team.
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  • Atlanta, Georgia, United States

Languages

  • English
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