Top Tech Jobs & Startup Jobs

Lead the design and maintenance of database solutions, manage data lakes using AWS S3, optimize databases with Aurora DB and PostgreSQL. Develop complex SQL operations, collaborate with application teams for integration, implement Java Spring Boot applications, and mentor junior team members.

The AWS Cloud Architect will design, implement, and maintain scalable AWS cloud infrastructures, collaborating with teams to understand and meet business requirements while ensuring security and efficiency. Key responsibilities include developing automation tools, performing maintenance tasks, and documenting the architecture models and policies.

The Senior Data Architect will lead clients in data strategy and architecture, guide data migration to cloud platforms, develop complex data pipelines, and modernize data estates. The role involves building solutions, conducting workshops, and embracing both classical AI and Gen AI transformations.

As a .NET Tech Lead, you will design and implement platform services using the .NET stack on Azure or GCP, champion API design principles, manage Kubernetes clusters, and oversee platform security. You will also lead and mentor junior engineers while staying current with cloud technology trends.

The QA Lead at Hitachi Digital Services will lead the development of test strategies and methodologies for the NAQ Platform, overseeing all testing processes including automation, regression, and various integrations. They will manage a cross-functional team, define testing scope, and ensure quality metrics are tracked and reported efficiently.

The Data Engineer will design, implement, and maintain data pipelines for integrating operational data from Historian systems into enterprise platforms. Responsibilities include data accuracy, developing aggregation processes, and ensuring data integration supports analytics and reporting needs.

As a Data Scientist at Hitachi Digital Services, you will develop machine learning models to address complex business issues, perform data analysis, and collaborate with teams to deliver insights. The role involves optimizing models for production, presenting findings, and maintaining machine learning systems, while applying advanced statistical and mathematical techniques across AI and data science projects.