Role: Data Engineer nnExperience:5-9 Years nLocation: PAN India-Gurgaon/Pune/Bangalore nNotice Period: Only Aug/Sept Joiners / Immediate Joiners Preferred nnKey Responsibilities n- Design, develop, and maintain scalable data pipelines for batch and real-time data processing. n- Build and optimize ETL/ELT workflows using Azure Data Factory (ADF), Databricks, and Python. n- Develop high-performance data solutions leveraging Azure Data Lake and cloud-native services. n- Write effective and optimized SQL queries for data extraction, transformation, and analysis. n- Work with structured and unstructured data to support business intelligence and analytics initiatives. n- Collaborate with cross-functional teams to understand business requirements and deliver robust data engineering solutions. n- Ensure data quality, governance, security,



and performance across data platforms. n- Troubleshoot production issues and optimize existing data pipelines for scalability and reliability. nnRequired Skills n- Strong experience with Azure cloud services. n- Hands-on experience with AWS services. n- Expertise in Azure Databricks. n- Experience with Azure Data Factory (ADF). n- Strong understanding of Data Lake architecture (ADLS/S3 or equivalent). n- Excellent proficiency in SQL and Python. n- Experience in designing and maintaining ETL/ELT pipelines. n- Strong problem-solving skills and ability to work in a fast-paced workplace. .

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