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Forecasting Data Engineer - Information Technology Senior Management Forum
Data Engineer
Data Engineer focused on forecasting, responsible for data collection, cleansing, and validation to support machine learning models, performing root‑cause analysis and ensuring data integrity across primary and secondary databases.
About the role
Key Responsibilities
- Collect, transform, and load data from primary and secondary databases to build reliable datasets for forecasting models.
- Perform data cleansing, validation, and integrity checks to maintain high data quality.
- Analyze data issues, conduct root‑cause analysis, and implement corrective actions to resolve system problems.
- Collaborate with data scientists to supply accurate, relevant data for machine learning pipelines.
- Document data processes, maintain metadata, and ensure compliance with data governance standards.
Requirements
- Proficiency in Python and SQL for data manipulation and automation.
- Experience designing and maintaining ETL pipelines and data workflows.
- Strong understanding of data quality principles and data validation techniques.
- Knowledge of machine learning concepts and ability to support model data needs.
- Excellent problem‑solving skills and ability to perform root‑cause analysis.
Skills
pythonsqlmachine learning