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).
- Solid 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 environment.

📌 Azure Data Engineer-5-9Yrs-PAN INDIA (Delhi)
🏢 Crescendo Global Leadership Hiring India
📍 Delhi