Azure Data Engineer - ETL Development in Hyderabad, भारत

Job Description :We are looking for an experienced Azure Data Engineer with strong expertise in Azure Data Factory, Azure Databricks, PySpark, and Snowflake to design, develop, and maintain scalable data https://jobeax.com/link/hEiNRx4W5ZDbjxHN ideal candidate should have hands-on experience in ETL development, big data processing, SQL optimization, and integrating data from multiple https://jobeax.com/link/oCJ0SIbXShpGJ6ip :- Design, develop, test, deploy, and maintain large-scale data pipelines using Azure Data Factory and Azure Databricks.- Build and optimize ETL/ELT workflows to extract, transform, and load data from various sources into Snowflake.- Use PySpark and Databricks for large-scale data processing and transformation.- Develop complex SQL queries and optimize query performance in Snowflake.- Troubleshoot data pipeline failures, database issues, and performance bottlenecks.- Collaborate with cross-functional teams to gather requirements and design effective data engineering solutions.- Ensure data quality, reliability, and consistency across data pipelines and processing workflows.- Follow best practices for pipeline performance, code quality, and https://jobeax.com/link/Bf9g48PT6fDmqfC0 :- 6 - 11 years of experience in data engineering, with hands-on experience building large-scale data pipelines.- Strong experience with Azure Data Factory or similar Azure data integration tools.- Proficiency in Azure Databricks and PySpark for big data processing and ETL development.- Strong SQL skills, including query development and performance optimization in Snowflake.- Experience integrating data from multiple sources into cloud-based data warehouses.- Strong understanding of ETL/ELT processes and data pipeline design.- Good analytical, troubleshooting, and problem-solving https://jobeax.com/link/eDTk4GYyRXieA4Qa and Platform :- CTC range: Competitive market salary based on experience.- Cloud Platform: Must have extensive experience with Microsoft Azure. (ref:hirist.tech)