onsite
Data Engineer with Machine Learning
ML Engineer
Lead data engineering initiatives, building scalable pipelines and applying ARIMA-based forecasting models on Azure, leveraging Azure Data Factory and Azure Data Lake to deliver actionable insights.
About the role
Key Responsibilities
- Design, develop, and maintain end‑to‑end data pipelines using Azure Data Factory and Azure Data Lake.
- Implement and tune ARIMA models for time‑series forecasting to support alerting and anomaly detection.
- Collaborate with data scientists to integrate machine learning workflows into production pipelines.
- Ensure data quality, governance, and security across all data assets.
- Optimize performance and cost of Azure data services.
Requirements
- Proven experience in data engineering with Azure services.
- Strong background in machine learning, especially time‑series analysis and ARIMA.
- Hands‑on skills in Python, SQL, and Azure Data Factory.
- Experience with data lake architecture and data governance.
- Excellent problem‑solving and communication skills.