Cloud Data Engineer - PySpark / Python

Cloud Data Engineer :

Build scalable, cloud-native data solutions using 5+ years of hands-on experience. Transform complex datasets into reliable insights in a collaborative environment.

Responsibilities :

• Design, develop, and maintain scalable ETL / ELT pipelines.
• Design and optimize data solutions on AWS, Azure, or GCP, ensuring secure and efficient data access.
• Write clean, modular Python and PySpark code for data transformation.
• Build and maintain dimensional and relational data models.
• Implement data quality checks and resolve anomalies to ensure data integrity.
• Optimize pipeline throughput and query performance.
• Collaborate with data scientists, analysts, and business teams.
• Maintain clear documentation of pipelines, workflows, and data architecture.
• Apply data security best practices and ensure compliance.

Preferred Skills :

(ref : hirist.tech)