
Big Data Architect
1 week ago
We are seeking a highly skilled Data Engineer to lead the development of our ETL pipelines. The ideal candidate will have a strong background in designing, building, and optimizing scalable data architectures using Azure Cloud technologies.
Key Responsibilities- Design and develop efficient ETL pipelines for batch data ingestion and egress using Azure Data Factory and Databricks.
- Implement high-performance data transformation workflows using PySpark and Scala Spark for complex data processing.
- Collaborate extensively with Azure Cloud services including Azure Data Lake, Azure SQL Database, and related platforms.
- Troubleshoot, debug, and resolve job failures by identifying root causes and implementing corrective actions.
- Optimize data processing jobs for performance and cost efficiency, ensuring maximum ROI.
The successful candidate will have hands-on experience working with big data technologies and a deep understanding of cloud-based data processing architectures.
In this role, you will be responsible for developing and maintaining large-scale data systems, ensuring seamless data flow and optimal performance. If you have a passion for data engineering and want to take your skills to the next level, we encourage you to apply.
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