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AWS Data EngineerThe Nippon Telegraph and Telephone Corporation (NTT) • United States
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AWS Data Engineer

The Nippon Telegraph and Telephone Corporation (NTT)
  • US
    United States
  • US
    United States
Jetzt Bewerben

Über

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 (
  • United States

Sprachkenntnisse

  • English
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