As a Snowflake Data Engineer, you'll design, build, and maintain data infrastructure using Snowflake, focusing on governance, quality, and performance optimization. You'll collaborate with stakeholders to operationalize data use cases and implement key data strategies.

Manage and support Snowflake-based data platforms, troubleshoot production issues, maintain documentation, and engage in disaster recovery efforts.

The Data & AI Technical Recruiter manages full-cycle recruitment for technical roles, collaborates with hiring managers, and engages talent through various sourcing methods.

As a Snowflake Data Engineer, you'll design data pipelines, lead integration efforts, and enable self-service analytics while collaborating with stakeholders.

The Technical Project Manager will oversee the delivery of complex technical projects, drive Agile ceremonies, manage timelines, and facilitate cross-functional collaboration while ensuring alignment between technical execution and business objectives.

As a Product Owner, you'll drive product initiatives in an Agile environment, manage requirements, and communicate updates effectively to stakeholders.

The Technical Solution Architect (Databricks) designs and delivers data solutions using the Databricks Lakehouse Platform, ensuring data governance and collaboration with clients and teams.

The Sr. Sales Executive will drive growth through strategic sales efforts, manage a sales pipeline, cultivate executive relationships, negotiate contracts, and collaborate with delivery teams on tailored solutions.

As a Sr. Data Engineer (AWS), you will build and optimize data pipelines, collaborate with teams, ensure data quality, and improve engineering practices.

As an AI Engineer, you will design and implement AI solutions, lead project execution, build AI models, and collaborate with teams to enhance technologies.

The Full Stack Developer (GenAI) will build applications integrating generative AI, develop APIs, frontend interfaces, and support cloud deployment.