Data Engineer II

Role Overview: On Team Xbox, you will be part of the Xbox Platform Data Intelligence Team, aiming to empower the world's 3 billion gamers by shaping the next generation of data and analytics capabilities for Xbox. Your role will involve working closely with engineering and product management to design, implement, and evolve innovative capabilities that will drive analytics and insights on engineering features. You will play a crucial part in influencing data-driven decision-making across Xbox Leadership, Finance, Business Planning, and Engineering teams. Key Responsibilities: - Work within and across teams to solve complex technical challenges. - Develop engineering best practices by continuously evaluating processes and reporting to identify opportunities for improvement, enhancement, and automation with a fundamental understanding of the end-to-end scenario. - Utilize judgement and rating schemes to turn qualitative information into quantitative estimates. - Proficiency in scenario analytics and mining for insights. - Measure the success and usage patterns of the product/feature at various levels as well as key engineering metrics. - Contribute to a data-driven culture as well as a culture of experimentation across the organization. - Create dashboards in Power BI and Azure Data Explorer. Qualifications: Required: - Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years of experience in business analytics, data science, software development, data modeling, or data engineering work OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 1+ year(s) of experience in business analytics, data science, software development, or data engineering work OR equivalent experience. - Experience working with cloud-based technologies, including relational databases, data warehouse, big data (e.g., Hadoop, Spark), orchestration/data pipeline tools, data lakes. - Self-motivated and organized to deliver results. Preferred: - Experience with Azure Analytics stack, e.g., Azure Data Lake, Azure Data Factory, Azure Synapse, Azure Data Explorer (Kusto), Azure Cosmos DB, Azure logic apps, Fabric/Power BI. - Experience in modern DevOps practices (including Git, CI/CD). - Good interpersonal and communication (verbal and written) skills, including the ability to effectively communicate with both business and technical teams. - Ability to use judgement and rating schemes to turn qualitative information into quantitative estimates. - Proficiency in scenario analytics and mining for insights.,