Azure Data Engineer-5-9Yrs-PAN INDIA (Delhi)

Role: Data Engineer

Experience:5-9 Years

Location: PAN India-Gurgaon/Pune/Bangalore

Notice Period: Only Aug/Sept Joiners / Immediate Joiners Preferred

Key Responsibilities

• Design, develop, and maintain scalable data pipelines for batch and real-time data processing.
• Build and optimize ETL/ELT workflows using Azure Data Factory (ADF), Databricks, and Python.
• Develop high-performance data solutions leveraging Azure Data Lake and cloud-native services.
• Write efficient and optimized SQL queries for data extraction, transformation, and analysis.
• Work with structured and unstructured data to support business intelligence and analytics initiatives.
• Collaborate with cross-functional teams to understand business requirements and deliver robust data engineering solutions.
• Ensure data quality, governance, security, and performance across data platforms.
• Troubleshoot production issues and optimize existing data pipelines for scalability and reliability.

Required Skills

• Strong experience with Azure cloud services.
• Hands-on experience with AWS services.
• Expertise in Azure Databricks.
• Experience with Azure Data Factory (ADF).
• Strong understanding of Data Lake architecture (ADLS/S3 or equivalent).
• Excellent proficiency in SQL and Python.
• Experience in designing and maintaining ETL/ELT pipelines.
• Strong problem-solving skills and ability to work in a fast-paced workplace. .