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2 days ago
We are seeking a skilled Cloud Data Engineer to join our mission-driven team, building an innovative cloud-based platform to combat coral reef degradation caused by global warming.
Job Description:- Data System Design: Design and optimize data systems that power our conservation efforts, ensuring scalability, reliability, and cost-effectiveness.
- Data Pipeline Development: Develop scalable ETL/ELT pipelines using Azure Data Factory, Databricks, and Synapse Analytics, integrating real-time & batch data for AI/ML models.
- Storage Solutions: Implement storage solutions (Azure Data Lake, Cosmos DB, SQL DB) and ensure data security, compliance, and encryption.
- Pipeline Optimization: Optimize pipelines for speed, cost, and reliability through caching, partitioning, and other strategies.
- Data Monitoring & Troubleshooting: Monitor, troubleshoot, and fine-tune data workflows to ensure seamless operations.
- Dataset Preparation: Prepare datasets for feature engineering and model training, leveraging PySpark and Pandas.
- 5+ Years Experience: 5+ years in data engineering, preferably with Azure cloud services, and experience with big data frameworks.
- Technical Expertise: Expert in Python, PySpark, SQL, and big data frameworks, with strong problem-solving skills.
- Real-Time Data Processing: Experience with real-time data processing and ML pipeline integration.
- Passion for Sustainability: Passionate about sustainability, AI for good, or environmental tech, and committed to making a positive impact.
You will be working closely with frontend/backend engineers, DevOps, and conservation scientists to deliver high-quality results. If you're a collaborative problem-solver who thrives in innovative teams, we encourage you to apply.
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