Senior System Engineer - Power BI + Azure Databricks
- Source: Naukri
- Tiger Analytics
- Hybrid
- Bengaluru
- Full-Time
- Senior
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
Skills
- power-bi
- microsoft-azure
- azure-databricks
- databricks
- drift
- Spark
