AWS Data Engineer

Remote in Atlanta, GA, US • Posted 3 days ago • Updated 9 hours ago
Full Time
On-site
USD $65.00 - 70.00 per hour
Fitment

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Job Details

Skills

  • Recruiting
  • Business Operations
  • Industry-specific
  • Innovation
  • Outsourcing
  • Sourcing
  • Orchestration
  • Collaboration
  • Extract
  • Transform
  • Load
  • ELT
  • Workflow
  • Regulatory Compliance
  • Data Engineering
  • Amazon Web Services
  • Electronic Health Record (EHR)
  • Amazon S3
  • Remote Desktop Services
  • Amazon RDS
  • DMS
  • Data Migration
  • Replication
  • Data Modeling
  • Data Validation
  • Auditing
  • Finance
  • Reporting
  • Conflict Resolution
  • Problem Solving
  • Real-time
  • Streaming
  • Apache Kafka
  • Amazon Kinesis
  • Data Warehouse
  • Amazon Redshift
  • Snow Flake Schema
  • Terraform
  • DevOps
  • Continuous Integration
  • Continuous Delivery
  • Financial Services
  • Health Care
  • Computer Science
  • Insurance
  • Cloud Computing
  • IT Consulting
  • Application Development
  • Management
  • IaaS
  • System Integration
  • Data Centers
  • LinkedIn
  • Law

Summary

At NTT DATA, we know that with the right people on board, anything is possible. The quality, integrity, and commitment of our employees have been key factors in our company's growth and market presence. By hiring the best people and helping them grow both professionally and personally, we ensure a bright future for NTT DATA and for the people who work here.

For more than 25 years, NTT DATA Services have focused on impacting the core of your business operations with industry-leading outsourcing services and automation. With our industry-specific platforms, we deliver continuous value addition, and innovation that will improve your business outcomes. Outsourcing is not just a method of gaining a one-time cost advantage, but an effective strategy for gaining and maintaining competitive advantages when executed as part of an overall sourcing strategy.

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
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: (required skills & experience)
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:
Bachelor's degree in Computer Science, Engineering, or related field (or equivalent work experience)
#PAS2
About NTT DATA Services:
Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting hourly range for this role isHourly 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.

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.
NTT DATA Services is a recognized leader in IT and business services, including cloud, data and applications, headquartered in Texas. As part of NTT DATA, a $30 billion trusted global innovator with a combined global reach of over 80 countries, we help clients transform through business and technology consulting, industry and digital solutions, applications development and management, managed edge-to-cloud infrastructure services, BPO, systems integration and global data centers. We are committed to our clients' long-term success. Visit nttdata.com or LinkedIn to learn more.

NTT DATA Services is an equal opportunity employer and considers all applicants without regarding 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 80166078
  • Position Id: 6b76495bcb5f5c63827faac8dddfd1a5
  • Posted 3 days ago
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