Data Engineer (Onsite Hybrid)

NTT DATA Services•Charlotte, NC

3d•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 Data Engineer (Onsite Hybrid) to join our team in Charlotte, North Carolina (US-NC), United States (US).

Requirements

Minimum 5+ years of experience in cloud-based Data Engineering and Big Data processing environments.
Minimum 3+ years of hands-on experience with AWS Glue for ETL development, orchestration, and monitoring.
Minimum 3+ years of experience with Terraform for Infrastructure-as-Code (IaC) automation and cloud deployments.
Minimum 4+ years of experience designing and supporting Data Warehouses and Data Lakes using AWS S3, Snowflake, or similar platforms.
Minimum 3+ years of hands-on experience with Snowflake including data modelling, query optimization, and performance tuning.
Minimum 2+ years of experience working with Apache Kafka for streaming and ETL integrations.
Minimum 3+ years of experience in SQL, Python, and Spark for large-scale data transformation and analytics.
Minimum 2+ years of experience creating and consuming RESTful APIs using JSON, OAuth, API keys, and related authentication mechanisms.
Minimum 2+ years of experience creating, maintaining, and debugging SSIS packages.

Nice To Haves

Strong understanding of cloud security, encryption, IAM roles, RBAC, and data governance best practices.
Experience troubleshooting production data pipelines and supporting batch/real-time processing systems.
Experience working in Agile development environments with cross-functional teams.

Responsibilities

Develop, maintain, and optimize AWS Glue ETL pipelines for ingesting and transforming cybersecurity-related data from multiple sources.
Design and implement scalable Data Warehouse and Data Lake solutions using AWS S3, Snowflake, and cloud-native services.
Build and manage Infrastructure-as-Code (IaC) deployments using Terraform for cloud provisioning and environment automation.
Develop and optimize Snowflake data models, stored procedures, and queries to support analytics, reporting, and large-scale data processing.
Create and manage RESTful API integrations for secure data ingestion and communication between front-end applications and backend systems.
Work with Apache Kafka for real-time streaming, event-driven data ingestion, and ETL workflows.
Develop and debug SSIS packages for batch data processing and migration activities.
Collaborate with cybersecurity, DevOps, QA, and application teams to ensure secure, scalable, and reliable data solutions.
Implement data governance, encryption, access control, and compliance best practices across cloud-based platforms.
Monitor production ETL jobs, troubleshoot failures, optimize performance, and support release deployments.
Participate in architecture reviews, code reviews, and security assessments to improve data engineering standards and operational efficiency.
Support Agile/Scrum ceremonies including sprint planning, backlog grooming, daily stand-ups, and retrospectives.