Description

You will design, implement, and automate end-to-end analytics solutions within the Microsoft Azure ecosystem.

This role is hybrid.

Responsibilities

• Implement data storage and preparation strategies using Azure Data Lake, Databricks Lakehouse, and Azure Synapse.
• Automate data pipelines using Python, SQL, Databricks, and Azure Data Factory.
• Develop data analytics reports and dashboards using Power BI.
• Conduct knowledge transfer sessions and produce technical documentation for analytics architectures.

Required Skills

• 5+ years of professional experience in data science or data engineering.
• Expertise in Azure Databricks and Python.
• Hands-on experience with Azure Data Factory.
• Proficiency in SQL for data manipulation and pipeline automation.
• Experience building Power BI reports and dashboards.
• Proven track record with Azure Storage and Azure Data Lake.
• Experience with Azure Synapse structures.
• Ability to document complex technical architectures and design processes.

Key Skills

Education

Any Graduate