Tennessee Staffing
Data Engineer
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 to join our team in Nashville, Tennessee (US). This role involves working on-site as part of a dynamic team focused on delivering cutting-edge data solutions. The ideal candidate will have 47 years of experience in data engineering, with strong expertise in NiFi, DBT, Java, and data pipeline development for ingestion and transformation. The Data Engineer will play a key role in building robust, scalable, and efficient data solutions leveraging cloud technologies. Key Responsibilities: Design, build, and maintain scalable data solutions using Snowflake and Azure data services (Data Factory and Synapse). Develop and manage multiple data pipelines for sourcing, transforming, and delivering data according to business needs. Utilize SQL, Python, and a strong understanding of the Software Development Life Cycle (SDLC) to ensure high-quality data engineering practices. Data Movement and Transformation: Implement and manage data movement, streaming, and transformation using Apache NiFi. Ensure reliability, performance, and scalability of data workflows across systems. Innovation and Learning: Continuously learn and apply new technologies by leveraging existing skills. Identify opportunities to enhance the technology stack and integrate emerging tools within a short timeframe. Team Collaboration: Work collaboratively within a Pod of 4+ data engineers. Engage in a consultative manner with clients to align technical solutions with business objectives. Technical Enablement & Support: Deploy and manage cloud-based applications supporting data ingestion and curation using Java and Kubernetes (AWS EKS). Contribute to DevOps processes leveraging GitHub, Jenkins, Terraform, and Prometheus for CI/CD, infrastructure automation, and monitoring. Integrate Kafka for data streaming and real-time analytics capabilities. Skills: Strong proficiency in Java programming. Expertise in building and managing data pipelines using NiFi and DBT. Advanced experience with Snowflake, Azure (Data Factory, Synapse), and AWS. Hands-on experience with Kubernetes (AWS EKS), Terraform, Jenkins, and Prometheus. Strong understanding of data warehousing principles and practices. Familiarity with GitHub for version control and collaborative development. Key Competencies: Technical excellence and problem-solving ability. Collaboration and teamwork in multi-disciplinary environments. Adaptability and quick learning of emerging technologies. Strong communication and client engagement skills. Innovation and continuous improvement mindset. Qualifications: Basic Required Qualifications: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field. 47 years of experience in data and cloud application engineering. Proven experience in developing and deploying cloud-based data solutions. Preferred Qualifications: Strong knowledge of data warehousing concepts. Domain experience in financial data analysis, risk, and compliance data management. Demonstrated ability to learn and adopt new technologies rapidly. NTT DATA is a company that invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. We are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form.
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 to join our team in Nashville, Tennessee (US). This role involves working on-site as part of a dynamic team focused on delivering cutting-edge data solutions. The ideal candidate will have 47 years of experience in data engineering, with strong expertise in NiFi, DBT, Java, and data pipeline development for ingestion and transformation. The Data Engineer will play a key role in building robust, scalable, and efficient data solutions leveraging cloud technologies. Key Responsibilities: Design, build, and maintain scalable data solutions using Snowflake and Azure data services (Data Factory and Synapse). Develop and manage multiple data pipelines for sourcing, transforming, and delivering data according to business needs. Utilize SQL, Python, and a strong understanding of the Software Development Life Cycle (SDLC) to ensure high-quality data engineering practices. Data Movement and Transformation: Implement and manage data movement, streaming, and transformation using Apache NiFi. Ensure reliability, performance, and scalability of data workflows across systems. Innovation and Learning: Continuously learn and apply new technologies by leveraging existing skills. Identify opportunities to enhance the technology stack and integrate emerging tools within a short timeframe. Team Collaboration: Work collaboratively within a Pod of 4+ data engineers. Engage in a consultative manner with clients to align technical solutions with business objectives. Technical Enablement & Support: Deploy and manage cloud-based applications supporting data ingestion and curation using Java and Kubernetes (AWS EKS). Contribute to DevOps processes leveraging GitHub, Jenkins, Terraform, and Prometheus for CI/CD, infrastructure automation, and monitoring. Integrate Kafka for data streaming and real-time analytics capabilities. Skills: Strong proficiency in Java programming. Expertise in building and managing data pipelines using NiFi and DBT. Advanced experience with Snowflake, Azure (Data Factory, Synapse), and AWS. Hands-on experience with Kubernetes (AWS EKS), Terraform, Jenkins, and Prometheus. Strong understanding of data warehousing principles and practices. Familiarity with GitHub for version control and collaborative development. Key Competencies: Technical excellence and problem-solving ability. Collaboration and teamwork in multi-disciplinary environments. Adaptability and quick learning of emerging technologies. Strong communication and client engagement skills. Innovation and continuous improvement mindset. Qualifications: Basic Required Qualifications: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field. 47 years of experience in data and cloud application engineering. Proven experience in developing and deploying cloud-based data solutions. Preferred Qualifications: Strong knowledge of data warehousing concepts. Domain experience in financial data analysis, risk, and compliance data management. Demonstrated ability to learn and adopt new technologies rapidly. NTT DATA is a company that invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. We are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form.