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This role is focused on performing complex data analysis on large-scale datasets to derive actionable business insights. You will design and implement data lakehouse architectures that combine the strengths of data lakes and warehouses, and develop data processing pipelines on cloud platforms such as AWS, GCP, or Azure. A significant part of the work involves building and optimizing ETL workflows for efficient data ingestion and transformation. You will also develop and deploy machine learning models to address business challenges and support data-driven decisions. Collaboration with cross-functional teams including data engineers and IT professionals is essential, along with enforcing data governance policies to maintain quality, security, and compliance. Performance tuning of both data systems and ML models is an ongoing responsibility.