Responsibilities

• Build a centralized data lake on GCP Data services by integrating diverse data sources throughout the enterprise
• Develop, maintain, and optimize SPARK-powered batch and streaming data processing pipelines. Leverage GCP data services for complex data engineering tasks and ensure smooth integration with other platform components
• Design and implement data validation and quality checks to ensure data's accuracy, completeness, and consistency as it flows through the pipelines
• Work with the Data Science and Machine Learning teams to engage in advanced analytics
• Collaborate with cross-functional teams, including data analysts, business users, operational and marketing teams, to extract insights and value from data
• Collaborate with the product team to design, implement, and maintain the data models for analytical use cases
• Design, develop, and upkeep data dashboards for various teams using Looker...