Description

Key Skills: Data Science, Pyspark

Roles and Responsibilities:

• Design, develop, and maintain data pipelines using Databricks and PySpark
• Implement and manage data solutions on cloud platforms such as Azure, AWS, or GCP
• Optimize SQL queries and manage Azure SQL Database, Synapse Analytics, and Azure Data Factory
• Collaborate with cross-functional teams to understand data requirements and deliver high-quality solutions
• Develop CI/CD pipelines using Azure DevOps to streamline deployment processes
• Ensure data integrity and accuracy through rigorous testing and validation
• Stay updated with industry trends and best practices in data engineering

Skills Required:

• Strong expertise in Data Science concepts and practices
• Hands-on experience in designing and building data pipelines
• Proficiency with Databricks for big data processing
• Solid understanding of cloud platforms (Azure, AWS, or GCP)
• Experience in SQL query optimization
• Familiarity with Azure SQL Database, Synapse Analytics, and Azure Data Factory
• Ability to lead and collaborate with cross-functional teams
• Experience with CI/CD pipelines using Azure DevOps
• Strong focus on data accuracy, testing, and validation

Nice-to-Have:

• Working knowledge of PySpark
• Awareness of current data engineering trends and best practices

Education: Bachelor's Degree in related field

Key Skills

Education

Any Graduate