Senior System Engineer - Power BI + Azure Databricks

Job description

Role & responsibilities • Production Support: Address and resolve production incidents as per SLA, including user troubleshooting. • Data Pipeline Monitoring: Monitor pipelines, detect failures, and implement corrective actions to maintain uninterrupted data flow. • Model Performance Oversight: Track drift, latency, and accuracy of deployed models; apply corrections and ensure retraining cycles do not disrupt service. • Dashboard & Data Accuracy: Manage dashboard refreshes and resolve data accuracy issues. • Service Requests: Handle and resolve service requests with efficiency and timeliness. Preferred candidate profile • Experience: 4+ years of relevant industry experience in ML/AI production systems, with at least 2 years in Data Engineering and Power BI • Data Engineering: Developed and optimized ETL pipelines using Apache Spark and SQL to process large-scale datasets for downstream machine learning models. • Reporting & Analytics: Designed and delivered interactive Power BI dashboards that enabled product teams to monitor data-quality metrics and key performance indicators (KPIs) for deployed models