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Forecasting Data Engineer - HP
Data Engineer
Lead end‑to‑end data pipelines for forecasting models, ensuring data quality, integrity, and compliance while leveraging Python, SQL, and ETL tools to support machine learning initiatives.
About the role
Key Responsibilities
- Design, build, and maintain scalable data pipelines that ingest, transform, and store data for forecasting models.
- Perform rigorous data cleansing, validation, and integrity checks to support accurate machine learning inputs.
- Analyze data quality issues, conduct root‑cause analysis, and implement corrective actions to resolve system problems.
- Collaborate with data scientists and business stakeholders to translate forecasting requirements into technical solutions.
- Document data processes, maintain metadata, and ensure compliance with data governance policies.
Requirements
- Proven experience in data engineering with strong proficiency in Python and SQL.
- Hands‑on expertise in ETL development, data warehousing, and data quality frameworks.
- Solid understanding of machine learning workflows and the role of data preparation.
- Excellent problem‑solving skills and ability to perform root‑cause analysis.
- Strong communication skills and ability to work cross‑functionally.
Skills
pythonsqlmachine learning