Data Engineer

Overview NTT DATA is seeking an experienced Data Engineer to join our innovative Data Village team. This role is based on‑site in either Plano, TX or Nashville, TN and supports a dynamic, high‑performing team delivering cutting‑edge data solutions. The ideal candidate will bring 4‑7 years of data engineering experience, with strong proficiency in Java and Python, and be a self‑directed engineer who can drive platform capabilities with minimal oversight, particularly across EKS infrastructure, platform engineering, and ModelOp platform management.

Key Responsibilities Hands‑On Architecture and Engineering: Engage in hands‑on architecture and engineering tasks. This role requires an in‑depth understanding of cloud application deployment architectures using container management services such as Kubernetes and Amazon EKS, and may expand to data governance, data platform development/management, data engineering and pipelining, and framework development/adoption. Backlog Prioritization and Resource Assignment: Interface directly with teams to understand their priorities and assign resources accordingly, ensuring alignment with goals and objectives.

Conduit Between Teams: Act as a bridge between various teams and NTT DATA's Data Practice, identifying opportunities where NTT DATA can provide additional thought leadership and support. Innovation and Automation: Ideate on innovation opportunities in the data management space. Apply GenAI and other automation techniques to improve productivity and enhance solution maturity.

Requirements Experience: 4‑7 years of experience in team and technical leadership roles. Technical Skills: Data Integration: Proficiency in integrating data from various sources. Relational Databases: Strong knowledge of relational databases.

Data Pipelines: Experience in building and managing data pipelines. Programming (Java and Python): Advanced skills in Java, Python and development of models for data science enablement. Kubernetes: Proficiency in using Kubernetes for container orchestration (AWS EKS preferred); deep knowledge of Helm Chart configurations and microservices architecture.

AWS: Strong knowledge of AWS services. Prometheus/JMeter/Similar Tools: Experience in creating application monitoring services. GitHub: Proficiency in using GitHub for version control.

Jenkins: Experience in using Jenkins for continuous integration and delivery. Terraform: Strong knowledge of Terraform for infrastructure as code. Leadership Skills: Proven ability to mentor and coach data engineers, focusing on best practices and continuous improvement.

Communication Skills: Excellent communication and interpersonal skills, with the ability to interface directly with teams and understand their needs. Innovation Mindset: Ability to think creatively and identify opportunities for innovation and automation in the data management space. Background Check Must pass a background check, drug screening, and sign an NDA.

NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. #J-18808-Ljbffr