This role is for fresh graduates to develop skills in problem-solving, communication, organization, and teamwork. Responsibilities include using MS Office, technical documentation, and supporting test plans.

The role involves managing and administering cloud-based databases, particularly Postgres and MySQL, and requires expertise in Snowflake administration and data modeling. The administrator will design disaster recovery solutions, provide 24/7 support, and contribute to process improvements and risk management.

The Senior Cloud Database Administrator will manage cloud-based relational databases, focusing on Postgres, MySQL, and Snowflake. Responsibilities include data migration, designing data models, ensuring disaster recovery, and providing production support. The role requires extensive experience in database administration and proficiency with AWS technologies.

The Web Developer will focus on both front-end and back-end development, utilizing technologies such as C#, ASP.NET, and MS SQL, while ensuring cross-browser compatibility and following Agile methodologies.

The Solutions Architect will design and implement scalable technology solutions, engage with clients to gather requirements, and collaborate with teams to meet business objectives.

As a Solutions Architect, you'll design scalable and secure technology solutions, lead projects, engage with clients, and mentor teams while ensuring compliance with regulations.

Analyze business requirements into technical specifications, collaborate with developers, conduct system testing, and prepare technical documentation.

The OneData Project Manager will lead the transition from legacy data warehouses to the OneData platform, collaborating with business units on data needs, managing demand pipelines, and driving change management initiatives.

The Sr. Business Analyst will document business requirements, interact with clients, prepare specifications, propose solutions, and oversee project progress.

The Sr. Business Analyst documents client business and system requirements, proposes solutions, analyzes processes, and interacts with stakeholders to ensure satisfaction. Responsibility includes testing systems and facilitating UAT.

The Web Developer will work on both front-end and back-end development, ensuring compatibility across browsers and devices. Strong experience in C#, ASP.NET, and MS SQL is required, with optional experience in AngularJS and Telerik Reports. Familiarity with Agile/Scrum and the SDLC is also needed.

The Desktop Support Specialist will manage data migrations, configure hardware, provide technical support, and assist with onboarding to Microsoft 365.

The Data Scientist will lead initiatives in machine learning, deep learning, and AI technologies, designing and implementing AI-powered solutions while collaborating with cross-functional teams.

The Data Analyst will develop and maintain dashboards, ensure data integrity, collaborate with stakeholders for reporting requirements, and utilize AI-enabled analytics to enhance visualizations.

Responsible for monitoring and optimizing operational reliability within the Microsoft Dataverse/Power Platform. Lead CI/CD governance, automation initiatives, and develop dashboards for observability. Requires expertise in Azure DevOps and Power Platform.

Provide test data management and automation scripting for applications across IT and Digital teams. Create, update, and execute automated API and UI test scripts (LoadRunner, Katalon), support data and performance testing, collaborate with QA and development leads, and provide first/second level support for projects and production systems. Flexible hours and occasional travel required.

The Business Analyst will gather and document business and technical requirements, communicate with stakeholders, and support process analysis in a contract role.

Design, develop, and deliver enterprise-grade full-stack solutions using Java, Node.js, Next.js, React, SQL Server and Couchbase. Build scalable microservices, CI/CD pipelines, containerized deployments, automated tests, and documentation while collaborating across teams and leveraging AI tools to improve code quality.

The AI/ML Engineer will develop and deploy AI/ML solutions focusing on engineering applications, optimizing design processes, and maintaining high-performance infrastructure.

Designs and executes test plans and cases (manual and automated), performs API and mobile testing, validates data with SQL, tracks defects in JIRA, assesses release risk, mentors teammates, and collaborates in Agile/DevOps to ensure software quality.