
Data Solutions Architect
1 week ago
We are seeking a highly skilled professional to join our cutting-edge team, specializing in data engineering with a focus on Azure Cloud technologies and programming languages such as Python, Scala, PySpark & Scala Spark.
- 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.
Required Skills and Qualifications:
- 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.
Benefits of Joining Our Team: We offer a dynamic and innovative work environment where you can apply your skills and expertise to real-world problems. You will have the opportunity to collaborate with talented professionals and contribute to cutting-edge projects.
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