Job
Description
Role Overview: You should have a minimum of 5 years of experience in SQL development with strong query optimization skills. Your role will involve designing, developing, and maintaining SQL queries, stored procedures, and database structures. You will be responsible for building and managing ETL pipelines using Azure Data Factory (ADF) and integrating data from on-premise and cloud sources using AWS services. Additionally, you should have knowledge of data warehousing concepts, data modeling, and transformation logic to ensure data accuracy, consistency, and performance across multiple systems. Strong troubleshooting skills will be required to resolve data and performance-related issues. Familiarity with cloud-based data architecture and modern data engineering best practices is essential for this role. Effective communication and collaboration with cross-functional teams will be necessary, along with the ability to document technical processes and data workflows clearly. Key Responsibilities: - Design, develop, and maintain SQL queries, stored procedures, and database structures - Build and manage ETL pipelines using Azure Data Factory (ADF) - Integrate data from on-premise and cloud sources using AWS services - Ensure data accuracy, consistency, and performance across multiple systems - Troubleshoot and resolve data and performance-related issues - Collaborate with cross-functional teams effectively - Document technical processes and data workflows clearly Qualifications Required: - Minimum 5 years of experience in SQL development with strong query optimization skills - Proven expertise in building and managing ETL pipelines using Azure Data Factory (ADF) - Experience in integrating data from on-premise and cloud sources using AWS services - Knowledge of data warehousing concepts, data modeling, and transformation logic - Familiarity with cloud-based data architecture and modern data engineering best practices Role Overview: You should have a minimum of 5 years of experience in SQL development with strong query optimization skills. Your role will involve designing, developing, and maintaining SQL queries, stored procedures, and database structures. You will be responsible for building and managing ETL pipelines using Azure Data Factory (ADF) and integrating data from on-premise and cloud sources using AWS services. Additionally, you should have knowledge of data warehousing concepts, data modeling, and transformation logic to ensure data accuracy, consistency, and performance across multiple systems. Strong troubleshooting skills will be required to resolve data and performance-related issues. Familiarity with cloud-based data architecture and modern data engineering best practices is essential for this role. Effective communication and collaboration with cross-functional teams will be necessary, along with the ability to document technical processes and data workflows clearly. Key Responsibilities: - Design, develop, and maintain SQL queries, stored procedures, and database structures - Build and manage ETL pipelines using Azure Data Factory (ADF) - Integrate data from on-premise and cloud sources using AWS services - Ensure data accuracy, consistency, and performance across multiple systems - Troubleshoot and resolve data and performance-related issues - Collaborate with cross-functional teams effectively - Document technical processes and data workflows clearly Qualifications Required: - Minimum 5 years of experience in SQL development with strong query optimization skills - Proven expertise in building and managing ETL pipelines using Azure Data Factory (ADF) - Experience in integrating data from on-premise and cloud sources using AWS services - Knowledge of data warehousing concepts, data modeling, and transformation logic - Familiarity with cloud-based data architecture and modern data engineering best practices
