Description

Design and modernize cloud data architectures on Azure and AWS. You will build scalable Databricks solutions and manage big data processing workloads. You own the end-to-end development of ETL and data pipelines using Python and SQL. You enforce data governance standards and ensure data quality across the platform.

Responsibilities

• Design cloud-native data architectures using Azure and AWS services.
• Implement and optimize Databricks environments for big data processing.
• Develop robust ETL pipelines and data workflows using Python and SQL.
• Establish and maintain data governance frameworks and quality controls.

Required Skills

• 5+ years of experience in cloud data architecture or engineering.
• Deep proficiency in Azure and AWS cloud platforms.
• Hands-on experience with Databricks and big data processing tools.
• Strong coding skills in Python and SQL for data manipulation.
• Knowledge of ETL/ELT pipeline design and implementation.
• Understanding of data governance, security, and quality best practices.
• Bachelor's degree in Computer Science or related field (Any Graduate).

Key Skills

Education

Any Graduate