Description

You will build and maintain scalable data pipelines and ETL processes within an Azure environment.

This role is remote.

Responsibilities

• Design, develop, and maintain scalable data pipelines to support processing and analysis.
• Implement and optimize ETL processes for extracting, transforming, and loading data into the data warehouse.
• Perform data modeling and design to ensure system integrity, availability, and performance.
• Troubleshoot data-related issues to ensure quality and integrity throughout the data lifecycle.
• Collaborate with cross-functional teams to implement solutions based on data requirements.

Required Skills

• 5+ years of experience in data engineering.
• Proficiency in Python and PySpark.
• Hands-on experience with Azure Databricks (mandatory).
• Experience with Azure Data Factory and Azure Synapse.
• Strong understanding of OOPs concepts.
• Practical knowledge of data modeling for scalability.
• Experience managing ETL processes.

Preferred Skills

• Any Graduate degree.

Key Skills

Education

Any Graduate