Job Description
We’re looking for a hands‑on Data Engineer to design, build, and optimize robust data pipelines and analytics solutions across our enterprise data ecosystem. You’ll work closely with data analysts, data scientists, and business stakeholders to ensure data is reliable, well‑modeled, and ready for decision‑making.
Key Responsibilities
- Data Pipeline Engineering: Design, develop, and maintain scalable ETL/ELT pipelines using Hive, Alteryx, Dataiku, and Python to ingest, transform, and curate data from diverse sources (databases, APIs, files, SAP exports).
- Data Modeling & Warehousing: Build and optimize data models (star/snowflake), marts, and reusable datasets for analytics/BI consumption in Tableau and Power BI.
- Orchestration & Automation: Implement workflow automation and data quality checkpoints using Power Automate, Dataiku (nice to have) scenarios, and scheduling best practices.
- Data Quality & Governance: Apply validation, li...
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