Specifically, you can expect to be involved in the following:

• Design and develop scalable ETL and ELT pipelines across operational, analytical, and AI data environments.
• Build robust SQL and Python-based data solutions for production use.
• Develop and enhance data models that support analytics, machine learning, and customer insight initiatives.
• Contribute to CI/CD processes, deployment automation, and version-controlled engineering practices.
• Collaborate with data scientists, product teams, and engineers to deliver reliable and scalable solutions.
• Implement monitoring, validation, data quality controls, and governance processes.
• Support the integration of machine learning outputs into production environments.
• Mentor colleagues and contribute to engineering standards, documentation, and best practice development

Specifically, you can expect to be involved in the following:

• Design and develop scalable ETL and ELT pipelines across operational, analytical, and AI data environments.
• Build robust SQL and Python-based data solutions for production use.
• Develop and enhance data models that support analytics, machine learning, and customer insight initiatives.
• Contribute to CI/CD processes, deployment automation, and version-controlled engineering practices.
• Collaborate with data scientists, product teams, and engineers to deliver reliable and scalable solutions.
• Implement monitoring, validation, data quality controls, and governance processes.
• Support the integration of machine learning outputs into production environments.
• Mentor colleagues and contribute to engineering standards, documentation, and best practice development