Data Warehouse Engineer - Senior

As a Senior AI and Data Warehouse Engineer at Pando, a global leader in supply chain technology specializing in the Fulfillment Cloud platform, you will play a crucial role in building and scaling the data and AI services team. Your main responsibility will be to lead the design and implementation of highly scalable, modular, and reusable data pipelines by leveraging big data technologies and low-code implementations. This senior leadership position will require close collaboration with cross-functional teams to deliver solutions that drive advanced analytics, dashboards, and AI-based insights. Your key responsibilities will include leading the development of scalable, high-performance data pipelines using PySpark or similar Big Data ETL pipeline technologies. You will also drive data modeling efforts for analytics, dashboards, and knowledge graphs, oversee the implementation of parquet-based data lakes, and work on OLAP databases to ensure optimal data structure for reporting and querying. Additionally, you will be tasked with architecting and optimizing large-scale enterprise big data implementations with a focus on modular and reusable low-code libraries. Collaboration with stakeholders to design and deliver AI and DWH solutions that align with business needs will be essential, along with mentoring and leading a team of engineers to build out the data and AI services organization. The ideal candidate for this role will have 4 to 6 years of experience in big data and AI technologies, with expertise in PySpark or similar Big Data ETL pipeline technologies. Strong proficiency in SQL and OLAP database technologies is required, along with firsthand experience in data modeling for analytics, dashboards, and knowledge graphs. Proven experience with parquet-based data lake implementations, expertise in building highly scalable, high-volume data pipelines, and experience with modular, reusable, low-code-based implementations are also necessary. Involvement in large-scale enterprise big data implementations, along with being an initiative-taker with strong motivation and leadership abilities, will be key to success in this role. Preferred qualifications include experience leading a team or building out a new department, familiarity with cloud-based data platforms, and AI services, as well as knowledge of supply chain technology or fulfillment platforms. Join Pando and be a part of a dynamic team that is revolutionizing the supply chain technology industry with cutting-edge solutions.,