
Data Engineer: Large-Scale Data Systems
6 days ago
**Job Title:** Senior Data Engineer
We are seeking a highly skilled Senior Data Engineer to design and optimize data systems that power our conservation efforts.
The ideal candidate will have 5+ years of experience in data engineering, preferably with Azure cloud services, and be an expert in Python, PySpark, SQL, and big data frameworks.
- Key Responsibilities:
- Build scalable ETL/ELT pipelines using Azure Data Factory, Databricks, and Synapse Analytics.
- Integrate real-time & batch data for AI/ML models (Azure ML, MLOps).
- Implement storage solutions (Azure Data Lake, Cosmos DB, SQL DB).
- Optimize pipelines for speed, cost, and reliability (caching, partitioning).
- Monitor, troubleshoot, and fine-tune data workflows.
- Prepare datasets for feature engineering and model training (PySpark, Pandas).
- Collaborate with data scientists to deploy and monitor ML models.
- Enforce data encryption, access controls, GDPR/HIPAA compliance.
- Work with frontend/backend engineers, DevOps, and conservation scientists.
- Enable data visualization (Power BI, Tableau) for stakeholders.
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