Description

You will design, deploy, and maintain scalable data pipelines and architectures within the Azure Cloud ecosystem.

Responsibilities

• Design and develop scalable data pipelines and architectures on Azure Cloud.
• Implement and manage Azure Data Lake solutions for large-scale data storage and processing.
• Utilize Databricks for data processing, transformation, and analytics.
• Develop and maintain ETL processes using Azure Data Factory.
• Write optimized SQL queries to extract, transform, and load data from relational databases.

Required Skills

• 8+ years of Data Engineering experience.
• 2-3+ years of experience focusing on Azure Cloud services.
• 3-5+ years of experience working with Azure Data Lake.
• 3-5+ years of Python experience for data processing and automation.
• 2+ years of Databricks experience.
• 1-2+ years of Azure Data Factory (ADF) experience.
• 5+ years of SQL experience.
• Experience with ETL processes such as SSIS.
• Bachelor’s degree in Computer Science, Information Technology, or a related field.

Preferred Skills

• Master’s degree in a related field.
• Azure Data Engineering or related Azure certifications.
• Experience with Azure Synapse Analytics, Azure Machine Learning, Hadoop, or Spark.

Key Skills

Education

Any Graduate