Data Engineer
3 days ago
About the Role:We are looking for a skilled Data Engineer to join our data engineering team and help design, build, and maintain scalable data pipelines and platforms. The ideal candidate will have strong technical expertise in SQL, Python, PySpark, and Databricks, with a solid understanding of data warehousing and ETL/ELT concepts. Youll collaborate closely with cross-functional teams to ensure data quality, performance, and availability for analytics and business insights.
Key Responsibilities:
- Design, develop, and maintain data pipelines using Python, PySpark, and Databricks.
- Implement and optimize ETL/ELT workflows for structured and unstructured data.
- Work with data warehousing solutions and ensure efficient data modeling and schema design.
- Collaborate with data analysts, data scientists, and business stakeholders to deliver clean, reliable datasets.
- Monitor and troubleshoot data pipeline issues to ensure high availability and performance.
- Implement best practices for data governance, security, and quality across all data processes.
- Leverage cloud platforms (AWS, Azure, or GCP) for data storage, transformation, and orchestration.
- Contribute to the continuous improvement of the data engineering ecosystem through automation and innovation.
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