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Highly Skilled Data Engineering Professional Wanted
3 weeks ago
We are seeking a highly skilled Data Engineer with 4+ years of experience who has strong expertise in Python, Scala, Spark (PySpark & Scala Spark), and Azure Cloud technologies.
The ideal candidate will have hands-on experience designing, building, and optimizing ETL pipelines, working with Databricks, and managing large-scale data processing workflows.
- 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.
- Collaborate with business and technical teams to gather requirements and translate them into effective data solutions.
- Develop reusable and efficient data engineering solutions following best practices.
- Maintain detailed documentation for solutions, processes, and troubleshooting guides.
- 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
- Good knowledge of Azure Cloud, Azure Data Factory (ADF), and Azure Databricks
- Strong understanding of ETL pipeline design and implementation
- Proven ability to troubleshoot jobs and analyze root causes effectively
