Job Description
Key Responsibilities:
- Build and maintain data pipelines and ETL processes for analytics.
- Design and optimize data models for reporting and insights.
- Implement machine learning models to solve business problems.
- Develop dashboards and ensure data quality, security, and governance.
- Monitor and troubleshoot data workflows.
Requirements:
- Bachelor’s in Computer Science, Data Science, IT, or related field.
- Strong SQL, Python, and relational database experience.
- Hands-on ETL and data integration experience.
- Knowledge of ML frameworks (scikit-learn, TensorFlow, PyTorch).
Preferred Skills:
- Big data tools (Hadoop, Spark), Power BI.
- Cloud experience (Azure).
- Data warehousing concepts.