Jobs at MUTT DATA

Design and evolve large-scale AWS data platforms for a banking data modernization project. Define architecture standards and patterns, build dbt models and Airflow pipelines on Redshift, implement data testing and observability, participate in design reviews, and collaborate with engineering and business stakeholders to ensure consistent adoption of best practices.

Design and implement machine learning models; perform exploratory data analysis; collaborate with stakeholders; deploy and monitor models; mentor junior team members.

Lead a team of data scientists, architect machine learning solutions, conduct research, and communicate insights to stakeholders. Enhance team skills and propose data-driven innovations.

The Data Engineer will design and implement ETL processes, optimize data queries, automate pipelines, and develop scalable data infrastructures.

As a Senior Data Engineer, you will develop batch and streaming data pipelines, maintain data contracts, and guide domain teams on data modeling, while mentoring other engineers.

The Data Developer will implement data pipelines, research new tools, and collaborate with teams for smooth integration of data systems.

The Data Engineer Lead will oversee team collaboration, lead projects, design ETL processes, mentor members, and optimize data infrastructure.

As a Data Engineer Lead, you will develop batch and streaming data pipelines, maintain data contracts, guide teams on data modeling, and mentor engineers.

As a Machine Learning Engineer, you will develop ML models, optimize performance, implement client requirements, and collaborate on technical solutions.

Lead the Machine Learning team, oversee project development, optimize ML systems and data pipelines, mentor team members, and align technical and business goals.

Design, build, and maintain scalable ETL pipelines and data architectures. Optimize queries, automate workflows, and implement CI/CD. Collaborate with clients and the team on end-to-end projects, tool migrations, and model support while ensuring code quality, testing, and documentation.