Remote - Sr. Google Cloud Platform Data Engineer - W2
Job title: Sr. Google Cloud Platform Data Engineer
Location: Remote
Contract W2
Job details:
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 Google Cloud Platform 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
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