Job Roles and Responsibilities:

• Design, develop, and maintain scalable data pipelines using Azure Data services, Python, and PySpark.
• Integrate data from various sources, ensuring data quality, consistency, and reliability.
• Manage and optimize data storage solutions on Azure, including data lakes and data warehouses.
• Implement data processing solutions, including ETL (Extract, Transform, Load) processes, to support business intelligence and analytics.
• Optimize data processing performance and troubleshoot any data-related issues.
• Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
• Document data architecture, processes, and solutions to ensure maintainability and scalability.
• Ensure data security and compliance with relevant regulations and best practices.
• Familiarity with data warehousing concepts and technologies.
• Understanding of data modeling and database design.
• Strong problem-solving and analytical skills.
• Excellent communication and teamwork skills.

Experience – 4 to 6 Years

Location – Bengaluru/Noida/Hyderabad

Work Mode - Hybrid

Notice Period – 0 to 30 Days