As a QA Engineer, you will ensure product quality by defining testing standards, creating test plans, and collaborating with development teams while mentoring junior engineers.

The Senior AI Engineer will design, develop, and deploy AI models and solutions, implement RAG techniques, and utilize AI frameworks, ensuring best practices in MLOps are applied to streamline workflows.

The Solutions Architect will design scalable marketing technology solutions, lead integration of platforms, mentor developers, and ensure adherence to best practices.

Design and execute data-driven marketing campaigns, manage workflows, and analyze performance to optimize segmentation strategies and improve processes.

Lead data engineering efforts, architect new projects, manage teams, build data platforms, and drive data governance in Azure.

The role involves developing scalable ETL/data pipelines using Databricks, SQL, and Python in Azure, ensuring data integrity and collaborating with teams.

Lead the data engineering team, design data architecture, implement data governance, build data platforms, and mentor junior engineers.

The Marketing Manager will drive revenue growth through engagement marketing programs, analyze market data, and collaborate with teams to deliver campaigns.

The Senior Data Engineer will build and maintain data pipelines, ensure data quality, and mentor junior engineers, requiring expertise in Python and SQL.

The MarTech Solutions Architect will design and implement marketing technology solutions, bridging marketing and technology, optimizing client engagements, and guiding teams on technology integrations.

The QA Manager will ensure high-quality solutions through test plan execution, data validation, and by collaborating with development teams. They will also mentor junior engineers and advocate for quality services.

Lead data engineering team to design, develop and maintain data infrastructure using Databricks, ensuring data integrity and compliance.

The Senior DevOps Engineer will lead infrastructure initiatives, support cloud migrations, optimize pipelines, and reduce technical debt.

The Lead Data Scientist will develop Media Mix Models to optimize marketing spend, analyze historical data, and present insights to stakeholders.

The Analyst will implement operational risk management, support marketing compliance processes and lead risk assessment initiatives while managing control deficiencies.

The Senior Martech Engineer will act as a Solution Architect, design data pipelines, manage integrations, and ensure compliance in a MarTech ecosystem.

The Insights Analyst will leverage Adobe Analytics expertise to extract actionable insights, create reports, and collaborate with teams to drive data-driven strategies.

The MarTech Business Systems Analyst will analyze business needs, document requirements, support data mapping, and enhance data quality within marketing tech platforms.

The Data Science Manager will develop data science solutions, manage projects, analyze data, build predictive models, and assist clients in deploying algorithms.

Lead a BI team, manage client engagements, develop dashboard reports, conduct data analysis using SQL, and mentor junior analysts.