Description

You will design, build, and maintain secure data processing pipelines and storage solutions.

This role is on-site.

Responsibilities

• Build and maintain secure, compliant data processing pipelines using Azure data services and frameworks.
• Develop cleansed and enhanced datasets for analysis, ensuring efficiency under business constraints.
• Design data stores following architecture patterns such as Modern Data Warehouse (MDW), Big Data, and Lakehouse.
• Operationalize data pipelines and stores to ensure optimal performance and stability.
• Identify, troubleshoot, and resolve operational and data quality issues while optimizing data platforms.

Required Skills

• 5+ years of experience in data engineering.
• Proficiency in SQL and Python/PySpark.
• Hands-on experience with Azure Data Factory.
• Experience with Azure Synapse Analytics.
• Experience with Azure Data Lake Storage.
• Strong understanding of parallel processing and data architecture patterns.
• Degree in any graduate field.

Key Skills

Education

Any Graduate