Description

You will own the design, development, and maintenance of data solutions within an Azure ecosystem.

Responsibilities

• Analyze business requirements and design data-driven solutions aligned with organizational objectives.
• Design, develop, test, and deploy ETL/ELT pipelines using Azure Data Factory and Azure Databricks.
• Develop and maintain ETL code, stored procedures, and data transformations using SQL, Python, and Spark.
• Manage and administer cloud-based data platforms, including Azure Synapse Analytics and Azure Data Lake Storage.
• Operate within an Agile environment, applying CI/CD best practices using Azure DevOps and GitHub.

Required Skills

• 5+ years of experience in Data Engineering.
• 5+ years of ETL development experience using Azure Data Services.
• 5+ years of experience writing complex SQL queries and stored procedures.
• 3+ years of hands-on experience in Python development.
• 3+ years of experience with Azure or other cloud-based solutions.
• In-depth expertise in Azure Data Factory (ADF) and Azure Databricks.
• Proficiency in Spark for large-scale data processing.
• Experience with Azure DevOps and GitHub for CI/CD automation.

Key Skills

Education

Any Graduate