Technical Delivery Lead

Job Description: You should have a minimum of 8+ years of experience in a Cloud Data Engineering role, with at least 3 years in a technical delivery or leadership position. Your expertise should include strong hands-on experience with Azure Cloud data tools such as Azure Data Factory (ADF), Self-Hosted Integration Runtime (SHIR), Logic Apps, Azure Data Lake Storage (ADLS Gen2), and Blob Storage. Additionally, you should be proficient in Databricks and Snowflake for building scalable data pipelines and transformations. Your proven ability should be in developing cloud-native ETL processes and data pipelines using modern Azure technologies. You are expected to have a strong understanding of CI/CD pipelines, especially using GitHub Actions (or GitActions), and proficiency in Python or other scripting languages for automation and data processing tasks. Demonstrated success in leading end-to-end project delivery in a cloud environment and solid understanding of Agile methodologies and experience with project management tools (e.g., Jira, Azure DevOps) are required. Moreover, you should possess excellent communication, collaboration, and problem-solving abilities with a strong attention to detail. Qualifications Required: - Minimum of 8+ years in a Cloud Data Engineering role - At least 3 years in a technical delivery or leadership position - Strong hands-on experience with Azure Cloud data tools - Proficiency in Databricks and Snowflake - Ability to develop cloud-native ETL processes and data pipelines - Understanding of CI/CD pipelines, especially using GitHub Actions (or GitActions) - Proficiency in Python or other scripting languages - Demonstrated success in leading end-to-end project delivery in a cloud environment - Solid understanding of Agile methodologies - Experience with project management tools (e.g., Jira, Azure DevOps) Company Benefits: - Provident Fund (Note: Work Location is In person) Job Description: You should have a minimum of 8+ years of experience in a Cloud Data Engineering role, with at least 3 years in a technical delivery or leadership position. Your expertise should include strong hands-on experience with Azure Cloud data tools such as Azure Data Factory (ADF), Self-Hosted Integration Runtime (SHIR), Logic Apps, Azure Data Lake Storage (ADLS Gen2), and Blob Storage. Additionally, you should be proficient in Databricks and Snowflake for building scalable data pipelines and transformations. Your proven ability should be in developing cloud-native ETL processes and data pipelines using modern Azure technologies. You are expected to have a strong understanding of CI/CD pipelines, especially using GitHub Actions (or GitActions), and proficiency in Python or other scripting languages for automation and data processing tasks. Demonstrated success in leading end-to-end project delivery in a cloud environment and solid understanding of Agile methodologies and experience with project management tools (e.g., Jira, Azure DevOps) are required. Moreover, you should possess excellent communication, collaboration, and problem-solving abilities with a strong attention to detail. Qualifications Required: - Minimum of 8+ years in a Cloud Data Engineering role - At least 3 years in a technical delivery or leadership position - Strong hands-on experience with Azure Cloud data tools - Proficiency in Databricks and Snowflake - Ability to develop cloud-native ETL processes and data pipelines - Understanding of CI/CD pipelines, especially using GitHub Actions (or GitActions) - Proficiency in Python or other scripting languages - Demonstrated success in leading end-to-end project delivery in a cloud environment - Solid understanding of Agile methodologies - Experience with project management tools (e.g., Jira, Azure DevOps) Company Benefits: - Provident Fund (Note: Work Location is In person)