
Data Solutions Architect
4 days ago
Unlock Your Potential as a Data Engineer
Job DescriptionWe are seeking an exceptional Data Engineer with a proven track record in designing, building, and optimizing ETL pipelines. If you have expertise in Azure technologies, Python, Scala, Spark (PySpark & Scala Spark), and Cloud Computing, we want to hear from you.
The ideal candidate will have experience working with Databricks, managing large-scale data processing workflows, and collaborating with business and technical teams to gather requirements and translate them into effective data solutions.
Key Responsibilities- Design, develop, and maintain scalable ETL pipelines for batch data ingestion and egress using Azure Data Factory, Databricks, and Spark.
- Implement data transformation workflows using PySpark and Scala Spark for high-performance data processing.
- Work extensively with Azure Cloud services including Azure Data Lake, Azure Data Factory, Azure Databricks, Azure SQL Database, and related services.
- Troubleshoot, debug, and resolve job failures by identifying root causes.
- Optimize data processing jobs for performance and cost efficiency.
- Microsoft Certified: Azure Fundamentals (preferred)
- Microsoft Certified: Azure Data Engineer Associate (preferred)
- Strong programming skills in Python and Scala.
- Hands-on experience with Spark (PySpark & Scala Spark).
- Proficiency in SQL for data querying and transformation.
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