Data Engineer
1 week ago
Job Description :
- Data Pipeline Development : Design, develop, and maintain scalable data pipelines using Python and DBT for transforming raw data into meaningful insights.
- Advanced SQL Queries : Write optimized and complex SQL queries for data extraction, manipulation, and reporting to support data-driven decision-making.
- Data Lake Management : Integrate and manage large datasets in Data Lakes, ensuring data availability, integrity, and security.
- Databricks Integration : Develop and optimize data workflows in Databricks, leveraging Spark for efficient big data processing.
- Data Modeling : Build and maintain robust data models to ensure accurate reporting and analytics within cloud data platforms.
- Performance Optimization : Optimize ETL jobs, SQL queries, and data models to improve performance and resource utilization.
- Collaboration : Work closely with data engineers, analysts, and other stakeholders to align data solutions with business objectives.
- Monitoring & Troubleshooting : Monitor data pipelines and resolve any issues to ensure smooth operation and timely data delivery.
Skills & Requirements :
- Python, Advanced SQL, Data Build Tool (DBT), Data Lake, Databricks
(ref:hirist.tech)-
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