Job Description: Basic Qualifications:

• BS or MS degree in a quantitative field such as computer science, physics, math, engineering, or economics. Equivalent education and/or experience may be substituted for the minimum education requirement
• Minimum of 10 years of experience designing large scale platforms and products that contain a variety of technology products in integration architecture, development architecture, execution architecture (infrastructure, application, data) and operations architecture
• Experience as a GCP Data Engineer
• Experience building pipelines
• Experience with API Development, pub sub, BigQuery, Cloudrun
• Experience with modern programming languages like Java, Python, Ruby, etc., as well as scripting and configuration management; Ability to apply application architecture patterns (e.g. Strangular)
• Experience in database technologies and information/data architecture
• Experience working in public cloud environments like AWS and understanding tools/techniques for data ingestion and analytics such as Glue, Kinesis, S3, SQS, SNS, Lambda, Step Functions, Redshift, Postgres
• Experience in DevOps, using continuous integration and continuous development (we use Jenkins, Nexus, Git), automation of testing data and transformations, and cloud-native designs and tools, e.g., Docker, Kubernetes, etc.
• Experience with decoupled architectures, realtime or near-realtime event/data streaming, enterprise integration and common messaging patterns, as well as workflow management technologies such as Airflow, Oozie, Azkaban, Luigi, etc.
• Experience understanding patten recognition, anomaly detection
• Experience implementing monitoring, quality assurance, data validation processes in a relational and big data environment (metrics-driven reliability and performance)

Preferred Skills:

• Experience with Vertex AI
• Experience with Looker
• Ability to constructively resolve conflict, manage expectations for competing priorities, and drive towards business goals; providing leadership in product delivery teams
• Excellent verbal and written communication skills and experience in collaborative environments
• Deep understanding in one domain that aligns to NTT DATA practice areas (Front-End Design, [LJ1] DevOps (DevSecOps), Security, .NET, Java, Operations, Cloud Services, Salesforce, etc.)
• Ability to interpret business requirements to formulate technical solutions and to decide among competing technical solutions
• Broad experience in executing technology recommendations across the landscape of platform and services (infrastructure, development and test, application, data, security, operations)
• Expertise in security best practices, especially in a cloud or hybrid setting, including data access controls and tools, auditing, encryption/securing data at rest and in transit, privacy/anonymization constraints, etc.
• Experience with Agile/Scrum development methodologies