Data Engineering Expert
1 week ago
Data Engineering Role
As a Senior Data Engineer at Digile, you will utilize your expertise in designing and implementing data pipelines using industry-leading tools like Databricks and Azure Data Factory (ADF).
- Develop and maintain data ingestion and transformation pipelines, adhering to best practices and ensuring data quality and integrity.
- Collaborate with data scientists, analysts, and engineers to understand data needs and deliver valuable insights.
- Integrate data pipelines with APIs and external systems, and utilize Spark for complex data manipulations and aggregations.
- Monitor and maintain data pipelines, identifying potential issues and ensuring smooth operation.
- Design and implement data pipelines for large-scale data architecture, solutioning, and operationalization of data warehouses, data lakes, and analytics platforms.
Requirements
- 6-10 years of experience in data engineering, with implementation experience of Azure-based cloud data projects.
- Expert-level knowledge on Spark, with extensive hands-on experience working with data using SQL, Python, Java, and Scala.
- Strong experience and understanding of large-scale data architecture, solutioning, and operationalization of data warehouses, data lakes, and analytics platforms.
- Excellent communication and collaboration skills, with the ability to present ideas, concepts, and solutions clearly.
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