Description

You will build and maintain scalable data platform architectures and storage solutions within the Azure ecosystem.

Responsibilities

• Create and maintain data storage solutions using Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
• Design and implement data pipelines for ingestion, processing, and transformation.
• Develop ETL operations and assemble complex datasets using Azure Data Factory and Databricks.
• Implement data validation and cleansing procedures to ensure data integrity and quality.

Required Skills

• 5+ years of experience in data engineering.
• Proficiency in SQL and Python.
• Hands-on experience with Apache Spark and Azure Databricks.
• Experience building ETL pipelines and managing data transformations.
• Working knowledge of Azure DevOps and Big Data technologies.
• Experience with Azure storage services including Data Lake and Blob Storage.
• Ability to design scalable data models for analytics.

Preferred Skills

• Experience collaborating with stakeholders to translate requirements into reliable data architectures.

Key Skills

Education

Any Graduate