Data App Engineer at NTT DATA
Plano, Texas, United States -
Full Time


Start Date

Immediate

Expiry Date

13 Feb, 26

Salary

0.0

Posted On

15 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Engineering, Snowflake, Azure Data Services, SQL, Python, Software Development Life Cycle, Apache NiFi, DevOps, GitHub, Jenkins, Terraform, Prometheus, Java, DBT, Kubernetes, Data Warehousing

Industry

IT Services and IT Consulting

Description
Data Engineering: 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. Implement and manage data movement, streaming, and transformation using Apache NiFi. Ensure reliability, performance, and scalability of data workflows across systems Contribute to DevOps processes leveraging GitHub, Jenkins, Terraform, and Prometheus for CI/CD, infrastructure automation, and monitoring. 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. 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. Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field. 4-7 years of experience in data and cloud application engineering. Proven experience in developing and deploying cloud-based data solutions. 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.
Responsibilities
Design, build, and maintain scalable data solutions using Snowflake and Azure data services. Develop and manage multiple data pipelines for sourcing, transforming, and delivering data according to business needs.
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