
Data Solutions Expert
7 days ago
Key Data Engineering Role
About the Position- The ideal candidate will have hands-on experience working with large-scale data processing workflows and designing efficient data engineering solutions.
Responsibilities
Job Overview- Design, develop, and maintain scalable ETL pipelines for batch data ingestion and egress using Azure services.
- Implement data transformation workflows using PySpark and Scala Spark for high-performance data processing.
- Work extensively with cloud services including Azure Cloud, Azure Data Factory, and Azure Databricks.
- Troubleshoot, debug, and resolve job failures by identifying root causes.
- Optimize data processing jobs for performance and cost efficiency.
- 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, and Azure Databricks.
- Strong understanding of ETL pipeline design and implementation.
- Collaborate effectively with business and technical teams to gather requirements and translate them into effective data solutions.
Our team is seeking a skilled Data Engineer who can bring their expertise in designing and implementing efficient data engineering solutions. The ideal candidate will have hands-on experience working with large-scale data processing workflows and possess strong technical skills.
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