Found Description
Key responsibilities: Support and monitor weekend batch loads, ensuring timely and accurate execution Perform outlier detection and root cause analysis for issues such as demand forecast drops or anomalies Translate findings into clear insights and communicate them effectively to leads and stakeholders Monitor scheduled jobs and data pipelines to ensure successful execution Validate dashboard outputs and analyze data trends, anomalies, and inconsistencies Support basic model validation and output analysis (e.g., forecast vs actuals, error trends) Write and optimize SQL queries and PySpark transformations for debugging and analysis Identify patterns in recurring failures and recommend improvements Work with data science and engineering teams to debug model or data-related issues Escalate issues when required, with clear analysis and supporting insights Monitor workflows in Azure Data Factory (ADF) and Databricks Contribute to CI/CD validation and release monitoring Maintain documentatio...