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Data Architect
3 weeks ago
We are seeking a skilled professional with expertise in Azure Cloud technologies and proficiency in designing scalable data pipelines for batch data ingestion and egress.
Key Responsibilities- Design, develop, and deploy ETL workflows utilizing Azure Data Factory and Databricks for high-performance data processing.
- Implement data transformation solutions using PySpark and Scala Spark for efficient data querying and transformation.
- Work extensively with Azure Cloud services, including Azure Data Lake, Azure SQL Database, and related services.
- Troubleshoot job failures by identifying root causes and optimizing data processing jobs for performance and cost efficiency.
- Collaborate with business teams to gather requirements and translate them into effective data solutions.
- Strong programming skills in Python and Scala.
- Hands-on experience with Spark (PySpark & Scala Spark).
- Proficiency in SQL for data querying and transformation.
- Good knowledge of Azure Cloud, Azure Data Factory (ADF), and Azure Databricks.
- A strong understanding of ETL pipeline design and implementation.