Top Tech Jobs & Startup Jobs

The Data Science SME will leverage advanced analytics and domain expertise in CPG to solve business challenges, collaborate across teams, and mentor juniors.

The Kafka Engineer will design, build, and maintain high-performance data streaming pipelines, manage Kafka infrastructure, and collaborate with teams on integration and security mechanisms.

Lead the architectural vision for data engineering and cloud native technologies, collaborating with engineers and scientists for solution delivery.

The Client Partner leads analytics delivery for clients, driving revenue growth, managing teams, and ensuring client satisfaction through strategic insights and innovation.

The ETL Testing Engineer is responsible for designing, executing, and automating test cases for data quality assurance in ETL processes, ensuring accuracy and integrity of data with a focus on collaboration and continuous improvement.

Lead the end-to-end data science pipeline, develop AI/ML models, collaborate with engineering teams, and engage business users to translate complex problems into solutions.

The Sales Manager will drive sales targeting Fortune 2000 companies, develop strategies, build relationships, close deals, and provide market insights.

Design and manage CI/CD pipelines, automate infrastructure provisioning, optimize source code repositories, implement security best practices and monitor application performance.

The Business Analyst acts as a liaison between business teams and technical teams, analyzing data to provide actionable insights and drive performance improvement initiatives.

The Engagement Manager serves as the main contact with client stakeholders to understand their strategic goals in the CPG sector, translating them into actionable analytics initiatives while ensuring strong relationships and effective leadership in business analysis and Agile delivery.