Data Engineer

The ideal profile is a Data Engineer with experience in Apache Spark, AWS technologies (Lambda, EC2, RDS, etc), as DISP is much more than a data platform. This role is suited for a mid/senior-level professional with some experience and a strong willingness to learn. Main Responsibilities: Managing data workflows and ensuring data quality. Collaborating with data architects and data scientists to optimize data usage. Utilizing AWS services for data storage and analysis. Monitoring and troubleshooting data processing issues. Developing and maintaining data pipelines, including ETL processes. Working closely with the data science team to ensure data is properly formatted and ready for use. Providing technical guidance and support to other teams within the organization. Staying up-to-date with industry trends and best practices in data engineering. Participating in code reviews and ensuring that all code meets company standards. Developing and maintaining documentation of data workflows, processes, and systems. Working closely with the data governance team to ensure compliance with organizational policies and procedures.